Gol Linhas Areas: Bankruptcy Appears To Be Imminent – Seeking Alpha

Despite being one of the biggest airlines of Brazil with a fleet of over 100 planes, Gol Linhas Areas Inteligentes (GOL) faces an uncertain future ahead, as its liquidity is drying up and there are no signs of recovery. The bailout package that the Brazilian government discussed with major airlines a couple of months ago seems to be out of the picture and Gol, along with others, is unlikely to receive any substantial help from the state in the near term. At the same time, the airlines cash burn is going to increase in Q3, as Gol is about to repay a $300 million loan to Delta (NYSE:DAL) in the next few weeks, which raises the chances of a liquidity crisis happening in the next couple of months. Back in June, the airlines own independent auditor said that Gol could face insolvency in the foreseeable future. Considering this, we believe that Gol could become bankrupt and its better not to invest in the company since the risk is too high, while growth opportunities are limited.

The biggest advantage of Gol is that it operates solely a Boeing 737 fleet, which makes the airline more efficient in comparison to its competitors. As a low-cost airline, it has one of the lowest operating expenses, which during normal times is considered a substantial competitive advantage. However, as COVID-19 started to spread all around Brazil, Gol was forced to shrink its fleet and return 18 leased 737-800 planes, while keeping the option to reduce its fleet by additional 30 planes in the next couple of years. The airline also decreased the number of its 737MAX orders from 219 to 95 planes and reduced the salaries of its workers to improve the cash burn rate. Despite those cash preservation measures, its unlikely that Gol will survive in its current state without going through a restructuring process, which will wipe out all the current shareholders.

In its Q2 report, the airline said that its revenues decreased by 88.6% Y/Y to R$358 million, while its traffic was down 92.3% Y/Y. At the same time, its daily cash burn was R$3 million and theres every reason to believe that the cash burn will only increase in Q3. As the airline faces an uncertain future ahead, we dont see any upside for its stock.

The biggest disadvantage of Gol is that its exposed to Brazil. With more than 3 million confirmed COVID-19 cases, Brazil is the second-most infected country in the world, after the United States, and its healthcare system is on the brink of collapse. The pandemic also disrupted the countrys economy and since the beginning of the year, the Brazilian real depreciated by more than 35% to the United States Dollar. This is bad news for Gol, since the airline makes most of its revenues in Brazilian currency, while the majority of its debt is dollar-denominated. At the same time, as the countrys GDP is about to shrink by more than 5% in 2020, Gol will have a hard time recovering to its pre-COVID-19 levels in its current state anytime soon.

Brazils Projected GDP Growth. Source: Statista

Back in June, Gols independent auditor KPMG stated that the airline could become insolvent and will not be able to survive the pandemic. The companys Latin American competitors LATAM and Avianca already filed for Chapter 11 and Gol could face the same destiny. A month after the warning was issued, Gol decided to fire KPMG and hired Brazilian Grant Thornton Auditores Independentes as its new independent auditor. Such a move raised concerns and several law firms started to investigate whether the company is committing fraud and hiding something from its shareholders. In one of its statements, Pomerantz law firm said the following:

The investigation concerns whether Gol Linhas and certain of its officers and/or directors have engaged in securities fraud or other unlawful business practices.

In its latest conference call, Gols management stated that the airline has R$3.3 billion of liquidity at the end of June. In Q3, the airline will repay R$2.9 billion worth of loans and will continue to burn cash on a daily basis, since air travel is not going to recover anytime soon. In addition, R$0.7 billion of debt will mature in Q4 and the company is risking becoming insolvent by the end of the year. While it managed to raise an additional R$1.2 billion from its loyalty program, the airline will still face a liquidity crunch in the following months, as it will not be able to make any profits and generate cash in the current environment, while burning money at the same time.

Source: Gol

However, even if Gol manages to survive until the end of the year, the companys high debt load will inevitably lead the airline to bankruptcy. At the end of Q2, Gols total debt was R$18.94 billion. While the majority of that debt matures in 2024 and beyond, it will prevent the airline from creating shareholder value anytime soon. By having one of the worst profitability margins among its peers, we believe that Gol is uninvestable even if it somehow manages to avoid a liquidity crunch.

Source: Capital IQ

Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

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Gol Linhas Areas: Bankruptcy Appears To Be Imminent - Seeking Alpha

Why Brooks Brothers Can Use Bankruptcy and Argentina Can’t – The American Prospect

Youve probably read that one iconic retailer after another is going bankrupt. You may think this means they are going out of business. But mostly it doesnt.

It just means they dont have the cash to pay their debts; and a helpful provision of the law that they can use (but you cant) known as Chapter 11 allows them to go before a bankruptcy judge, stiff their creditors, reduce the debt they owe, lay off workers, gut pension funds, and carry on; sometimes with new owners, sometimes with the same scoundrels in control.

The list includes Neiman Marcus, Lord & Taylor, J. Crew, JC Penney, Hertz, Pier I, Brooks Brothers, Golds Gym, and dozens of others.

Theres another wrinkle. Most of these retailers are owned by private equity companies, whose business model is to loot the place and then take it into bankruptcy.

Heres where Argentina comes in. There is no Chapter 11 for countries. So if a heavily indebted nation tries to walk away from its debts, it gets frozen out of capital markets, and suffers even more poverty. Argentina has been reeling from the corona epidemic, on top of repeated currency crises.

Yesterday, after being squeezed and squeezed by its American bondholders, Argentina and most of its creditors finally made a deal. Argentina will settle its existing debt at 55 cents on the dollar, allowing for a restructuring and some breathing room for recovery. Argentinas progressive president, Alberto Fernndez, took a fairly hard line with bondholders who were demanding more.

And heres the most revealing part: Some of Argentinas creditors, who speculated in its debt, are the same crowd who play financial games with Americas retailers. The law is stacked in their favor in both cases. And in both cases, its poor and working people, whether U.S. retail workers or Argentine citizens, who get screwed so that billionaire speculators can get even richer.

I actually wrote a book,Debtors Prison, about this double standard in bankruptcy, which dates to the reign of Queen Anne.

Bottom line: We need to reform the bankruptcy laws so that nations have their own version of Chapter 11and private equity and hedge fund operators can no longer abuse it.

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Why Brooks Brothers Can Use Bankruptcy and Argentina Can't - The American Prospect

Teslas Elon Musk talks Rivian lawsuit, Theyre doing bad things, so we sued them – Teslarati

Tesla CEO opened up about his companys recently opened lawsuit against fellow electric carmaker Rivian in a recent interview, stating that the rival carmaker was absolutely poaching employees and stealing secrets.

Musk sat down for the final portion of a three-part interview with Automotive News Jason Stein, who asked the CEO of the largest automaker in the world if Rivian was poaching the companys employees and stealing intellectual property.

Is Rivian poaching your employees as you have alleged in a lawsuit, Stein asked Musk.

Yeah, absolutely. Of course, Musk quickly answered. I mean its not like a massive percentage, but theyve definitely taken a bunch of Teslas intellectual property.

Tesla opened a lawsuit against Rivian in late July, stating that an alarming pattern of poaching employees and thriving secrets had occurred. The lawsuit claims that former employees of Tesla took highly sensitive information with them after they left the electric automaker to work for Rivian.

A complaint filed by Tesla stated, Misappropriating Teslas competitively useful confidential information when leaving Tesla for a new employer is obviously wrong and risky.

Musk says that the former Tesla employees stole information through thumb drives and personal computers and took the highly sensitive documents to Rivian. Its not cool to steal our IP, and for people to violate their confidentiality agreementsthat kind of thing, Musk said. Theyre doing bad things, so we sued them.

Interestingly enough, investigators have questioned several employees that left Tesla for Rivian, and at least one of them has admitted to taking company secrets when changing employers.

The complaint from Tesla states that Tami Pascale, a former Senior Staffing Manager for Tesla, took at least ten confidential and proprietary documents from Teslas network, which would allow Rivian to poach Teslas highest-performing talent and promising employment prospects.

Additionally, Pascale admitted to investigators that she confessed to taking confidential and sensitive information about Teslas prospective employees. She lied about having Tesla documents on a company laptop. When investigators confronted her with specific documents she had taken, Pascale finally confessed to taking the confidential and proprietary documents, the complaint says.

Tesla has been pretty open with its information in the past. Musk has stated on numerous occasions that the companys patents are open and free to use, especially if it will increase the push toward sustainable transport. However, poaching Teslas possible employees and developmental talent is not apart of the deal, which is why the company decided to take Rivian to court.

Musk has been open and honest about helping other manufacturers obtain battery and EV tech if they are willing to push toward an electric fleet. In a Tweet from late July, Musk said, Tesla is open to licensing software and supplying powertrains & batteries. Were just trying to accelerate sustainable energy, not crush competitors!

The full complaint in Teslas lawsuit against Rivian is available below.

Tesla lawsuit vs. Rivian 20CV368472 by Joey Klender on Scribd

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Teslas Elon Musk talks Rivian lawsuit, Theyre doing bad things, so we sued them - Teslarati

New York Preps New Antitrust Laws, with Big Tech in Sights Red Herring – Red Herring

New York lawmakers have introduced a new antitrust bill that will make it simpler for authorities to sue big tech companies for alleged breaches of monopoly powers.

The sultrily-named S8700A bill is seen as a lodestar for states across the US, which have become increasingly worried about tech firms influence to manipulate their markets. Senator Mike Gianaris told The Guardian that leading tech brands have grown to dangerous levels and we need to start reining them in.

Gianaris says the new law is an update for the 21st century, during which the so-called GAFA companiesGoogle, Amazon, Facebook and Applehave amassed huge wealth and the power to drown other firms out of their respective verticals.

Previous antitrust legislation required two companies to fix prices. Actions by single entities are far tougher to prosecute. Much of the problem today in the 21st century is unilateral action by some of these behemoth tech companies and this bill would allow, for the first time, New York to engage in antitrust enforcement for unilateral action, said Gianaris.

S8700A will be discussed when New York returns to work later this month, but is unlikely to pass until early next year. It follows a crescendoing national conversation about the power of big tech. Last week a House committee interrogated the leaders of the GAFA firms.

Among the many accusations leveled at Mark Zuckerberg, Jeff Bezos and co. was one that they are killing the American economy. Admissions by the leaders spurred Gianaris and fellow lawmakers into action.

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New York Preps New Antitrust Laws, with Big Tech in Sights Red Herring - Red Herring

The Three Levels Of Financial Independence: From Budget To …

Reaching financial independence is the holy grail of personal finance. But what does financial independence really mean? In this post Id like to determine the three levels of financial independence. Thats right. Even in financial independence there is no one size fits all since everybody has a different desired standard of living.

Contrary to what you may think, financial independence is not all about having enough money to cover all your expenses. Financial independence also means being able to overcome your psychological fears to truly live free.

For example, I have peers who have millions in net worth. Yet, they still make their respective spouses work because they do not feel 100% financially secure. WiFi!Common reasons include the need for health care coverage or their spouses love for their job even though theyd rather be doing something else.

Here are the three levels of financial independence Ive come up with. All three levels of financial independence should meet the following basic criteria:

1) No need to work for a living. Investment income or non-work income covers all living expenses into perpetuity.

or

2) Net worth is equal to or greater than the number of years left in your life X living expenses. For example, $3 million with 30 years left to live is FI if your living expenses are no more than $100,000 a year.

If your household income is less than ~$40,000 a year, you are considered lower middle class. Dont be offended. Its just a definition based on millions of datapoints. The current official poverty threshold is an income of $25,000 per year fora family of four and $19,000 for a family of three.

If you are happy with living a lower middle class lifestyle, then you would need between $800,000 $1,600,000 in investable assets returning 2.5% 5% a year to replicate the $40,000 in gross annual income. Of course if youve been investing in the bull market for the past 10 years, youve likely seen a higher return than 5%. But over the long run, its best to stay conservative since downturns do happen.

Given the 10-year bond yield is at under 1%, everybody should make at least 1% a year on their investable assets risk free. If youre losing money during your financial independence years, you havent been investing properly.

This category of financial independence is interesting because theres a lot of tradeoffs the individual or couple still make, such as:

The question many people have in this stage is therefore: Are you really FI if youve got to do one or many of these things? Many who work a day job argue no, but it doesnt matter because nobody can tell you how to live your FI life. If you dont have to work a full time job and can cover your expenses, you are Budget FI as far as Im concerned.

Budget Financial Independence is where I found myself between 2012 2014. I was earning about $80,000 in passive income, which was more like $40,000 since I lived in San Francisco, and had negotiated a large enough severance to last for 5-6 years of living expenses.

Even with these numbers, I was still afraid that I had made the wrong choice leaving a job at 34. As a result, I tried to sell my house and downsize by 70%, but nobody wanted to buy my house in 2012 thank goodness.

Further, my wife and I agreed that she work for three years until she turned 34 (hooray for equality) to give us enough time to figure out whether we could both leave the workforce. At the end of 2014, she negotiated her severance as well before her 34th birthday.

Related: What Is Lean FIRE?

The median household income in the U.S. is roughly $64,000. $64,000 is therefore considered a comfortable middle class income If you didnt have to work for your $60,000 a year income, then life should be better, maybe even fantastic.

Based on a conservative 2.5% 5% annual return, a household would need investments of between $1,200,000 $2,400,000 to be considered financially independent. Once youve got at least $1,200,000 in investable assets and no longer want to work again, I dont recommend shooting for an overall return much greater than 5%. You can carve out 10% of your investable assets to go swing for the fences if you wish, but not more. There is no need since you have already won the game.

Remember, once youve reached financial independence, you no longer have to save. Everybody striving for financial independence tends to save anywhere from 20% 80% of their after tax income each year on top of maxing out their pre-tax retirement accounts.

Therefore, if youre able to 100% replicate your gross annual household income through your investments, youre actually getting a raise based on the amount you were saving each year.

If you have 20 years left to live and only require $60,000 a year, having $1,200,000 can also be considered enough even if you make zero return. The only problem is that your purchasing power will decline by ~2% a year due to inflation. The other problem is that you dont know exactly how many years you have left to live. Therefore, its always better to have more rather than less.

My blogging buddy Joe from Retire by 40, who is six years older than me, is a good example. He has enough money, but is still finding it difficult to overcome the fear of not working.

Every year, he questions whether his wife can join him in retirement. This is even though he has close to a $3 million net worth. He also has online income and passive income. Every year I tell him she could have retired years ago, but hes adeptly convinced her to keep on working.

Related:Achieving A Two Spouse Financial Independence Lifestyle

This is a level of FI that Ive been trying to achieve since I was 30 years old. I decided back then that an individual income of ~$200,000 $250,000 and a household income of ~$300,000 was the ideal income for maximum happiness.

With such income, you can live a comfortable life raising a family of up to four anywhere in the world. Given Ive spent my post college life living in Manhattan and San Francisco, it was only natural to arrive at much higher income levels than the US household median. Remember, half the country live in more expensive coastal cities.

These figures are partially due to a highly progressive tax code that was implemented in the mid 2000s. The government really went after income levels above these thresholds. Further, I carefully observed my happiness level from making much less to making much more. Any dollar earned above $250,000 $300,000 didnt make a lick of difference. In fact, I often noticed a decline in happiness due to the increased stress from work.

Using the same 2.5% 5% return figures, one would therefore need $5,000,000 $10,000,000 per individual and $6,000,000 $12,000,000 per couple in investable assets to reach Blockbuster Financial Independence. In addition, it is preferable if your home is also paid off.

If you are generating $250,000 $300,000 in passive income without having to work, life is good, really good. In 1H2017, I got to about ~$220,000 in annualized passive income. But then ended up slashing ~$60,000 from the top after selling my rental house to simplify life. Therefore, Ive still got a long ways to go, especially now that I have a son to raise.

Today, my passive income is around $260,000 +/0 $25,000. Its a comfortable amount of money, but it may not be enough given I now have two kids. Therefore, my goal is to shoot for another $40,000 in passive income by 2023. 2023 is when my boy will be eligible for kindergarten.

The way many people reach Blockbuster Financial Independence with income of $250,000 $300,000 is through a combination of investment income and passion project cash flow. Since FI allows you to do whatever you want, heres your chance to follow the clich, follow your passions and the money will follow without worry that there will be no money. My passion so happens to be this site. Everybody should start their own today.

Related: What Is Fat FIRE? The Best Way To Live Life In Retirement

Even if you find yourself in the Budget FI category, its still better than having to work at a soulless day job. Just getting rid of a long commute or a terrible boss makes Budget FI worth it.

Most people who find themselves in Budget FI are either on the younger side (<40), dont have kids, or are forced to live frugally. Ive found that in many cases, folks in Budget FI long to lead a more comfortable life so they either get back to work, do some consulting, or try to build a business within three years to move up the pyramid.

The only way Ive found to successfully overcome the fear of not working is by either negotiating a severance, building enough passive income to cover all your living expenses for at least 12 consecutive months, or trying out FI living first while your partner still works. Feeling comfortably FI doesnt just happen with a snap of the fingers.

There is this natural urge to still make financial progress by continuing the good financial habits that got you there in the first place. And wonderfully, the progress you make is like finding loose diamonds after youve already found a pot of gold.

Related:Ranking The Best Passive Income Streams

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The Three Levels Of Financial Independence: From Budget To ...

Financial independence – Wikipedia

For the concept of independence from another person for support, see Dependant.

Financial independence is the status of having enough income (from investments, passive businesses, real estate, etc.) to pay for one's reasonable living expenses for the rest of one's life without having to rely on formal employment. The core path to achieve financial independence focuses on maximizing one's savings rate through lower spending and/or higher income. Income earned without having to work a job is commonly referred to as passive income.[citation needed]

There are many strategies to achieve financial independence, each with their own benefits and drawbacks. To achieve financial independence, it will be helpful to have a financial plan and budget to get a clear view of current incomes and expenses and to identify and choose appropriate strategies to move towards certain financial goals. A financial plan addresses every aspect of a person's finances.[1]

The following is a non-exhaustive list of sources of passive income that potentially yield financial independence.

If a person can generate enough income to meet their needs from sources other than their primary occupation, they have achieved financial independence, regardless of age, existing wealth, or current salary. For example, if a 25-year-old has $100 in expenses per month, and assets that generate $101 or more per month, they have achieved financial independence. They have no need to work a regular job to pay their bills.

On the other hand, if a (for example) 50-year-old earns $1,000,000 a month but has expenses that equal more than that per month, they are not financially independent, as they still have to earn the difference each month to make all their payments.

However, the effects of inflation must be considered. If a person needs $100/month for living expenses today, they will need $105/month next year and $110.25/month the following year to support the same lifestyle, assuming a 5% annual inflation rate. Therefore, if the person in the above example obtains their passive income from a perpetuity, there will be a time when they lose their financial independence because of inflation.

If someone receives $5000 in dividends from stocks they own, but their expenses total $4000, they can live on their dividend income because it pays for all their expenses to live (with some left over). Under these circumstances, a person is financially independent. A person's assets and liabilities are an important factor in determining if they have achieved financial independence. An asset is anything of value that can be readily turned into cash (liquidated) if a person has to pay debt, whereas a liability is a responsibility to provide compensation. (Homes and automobiles with no liens or mortgages are common assets.)

Since there are two sides to the assets and expenses equation, there are two main directions one can focus their energy: accumulating assets or reducing their expenses.

Accumulating assets can focus one or both of these approaches:

Another approach to financial independence is to reduce regular expenses while accumulating assets, to reduce the amount of assets required for financial independence. This can be done by focusing on simple living, or other strategies to reduce expenses.[2][3]

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Financial independence - Wikipedia

Financial Independence – I Will Teach You To Be Rich

Financial independence is the moment when your investments start paying more than your expenses. Once that happens, youre free.

Free from havingto work for a living.

Free from having to worry about paying rent on time.

And free from a TON of other financial obligations.

BUT how long would it take the average American to become financially independent?

Assuming you earn $75,000 a yearandyour annual expenses are about $60,000, you need to save roughly $1,500,000 to become financially independent.

When youre done picking your jaw up off the floor, Ill let you in on the process of how to get there:

There are no slick tactics or sexy ways to go about this. If youre the average American who needs $1,500,000 to hit your FIRE goal, you need to work hard and be determined. But the feeling of freedom when you reach financial independence will make it all worth it.

Were using the $1,500,000 goal based on the average salary and living expenses of Americans. If you want to find a number more specific to YOUR situation though, youll have to use the 4% Rule.

The 4% Rule is known as the safe withdrawal rate,or the amount of expenses you should be able to withdraw from your savings each year when you retire without touching the principal. (This number is based on a study from Trinity University.)

Finding out your safe withdrawal rate is the first step to learning how to become financially independent.

So how do you find out how much you need to save? Do two things:

This will give you enough expenses to withdraw 4% for years and years to come.

Heres a handy chart to show you how much youll need to save based on possible yearly expenses.

Using the above information coupled with your annual after-tax income, youll be able to come up with an annual savings rate (i.e., how much you need to save each year).

Luckily, you dont have to strain too hard to create this financial plan, as there are a bunch of retirement calculators online. This one is our favorite. It outlines exactly how many years itll take to save depending on your savings rate.

Play around with the calculator until youve come up with a savings rate that works for you. After that, youll know exactly how much you should be saving every time you get a paycheck.

In terms of the percentage, I suggest you save 65% of your after-tax income, says Mad Fientist. That may seem like a ton but its possible. I averaged around 75% to 80% when I was saving.

Meanwhile, Physician on FIRE suggests you should actually save about 50% of your income to go towards your goals.

When pursuing FIRE, PoF says, keep in mind that youre locking yourself into the same lifestyle as when you reach financial independence. [So] if youre making too many frugal choices that dont jive with your persona, start living the way you want to and base your FI target on that.

Remember our example using the average salary and expenses? Looking at the chart, we know now that the average American needs to save about $1,500,000 in order to retire early. Our savings rate will then be about 32% of our annual income each year in order to save enough money to retire early (well go into how long itll take later).

Everyone that goes for FI has to decide something important:Should you try to live as frugally and retire as early as possible and minimize your expenses, or would you rathertake part in the finer things in lifebut retire later?

Luckily, there are two communities that embrace FIRE in different ways that can help you decide.

Bonus: Struggling to take control of your expenses? Check out my Ultimate Guide to Personal Finance to learn how to automate your finances so you can reach financial independence sooner.

There are typically two schools of thought when it comes to financial independence: leanFIRE and fatFIRE.

Though they sound more like weight loss supplements or descriptions of my latest mixtapethan systems for financial independence, theres no need to be intimidated by them.

LeanFIRE and fatFIRE are just terms for how much you plan to live on when you retire, the Mad Fientist says. Theres no better way. Just test out your spending until you find a method that works for you.

While both have the same goal of achieving financial independence, aspects such as how much you spend, save, and even quality of life can be affected by which approach you choose.

leanFIRE

This approach requires you to have a low spending rate each year (typically less than $40,000/year).

To be leanFIRE is to subsist on a comparatively low level of spending much like most of us did in college, PoF says.

This means adopting a frugal lifestyle and sacrificing certain luxuries like cars. It can even determine the places in the world you can live in (its easier to live cheaply in Norman, Oklahoma, than NYC for instance).

On the other side of the coin, theres a FIRE movement that aims to keep up the benefits of financial independence while still retaining a life of semi-luxury: fatFIRE.

Want to turn your dream of working from home into a reality? Download my Ultimate Guide to Working from Home to learn how to make working from home work for YOU.

fatFIRE

FatFIRE is the system of financial independence that allows you to live a more high-class lifestyle. But it takes longer to complete.

FatFIRE is to be financially independent on a more typical level of spending, PoF says. Id say to qualify as fat, your anticipated spending should probably be somewhere north of the national average.

According to PoF, thatd be an annual spending rate of around at least $80,000. That lends itself nicely to a round number of $2 million saved to have a budget with a 4% annual withdrawal rate, he says.

This is the practice that PoF embraces and his reason might convince you to pursue the lifestyle as well.

Lets assume you dont want to sacrifice your $60,000-a-year lifestyle and want to save enough money to get there. Youll need a higher rate of saving AND earning to do that

which brings us to:

Do you know how long itll take you to save $1,500,000 on a salary of $73,000 and a savings rate of 34%?

More than 26 years.

Thats a long time, and if you want to retire early, you might not want to wait that long.

Luckily theres a way to DRASTICALLY shorten that time: Earning more money.

Earning more allows you to increase your savings AND speed up your financial independence goals. While there are a lot of ways to make more money, the best way is starting a side hustle.Its a big win.

Below are our resources that have helped thousands of readers start their side hustles:

To help you get started, today, I want to show you how to find a great side hustle idea. Its one of the biggest barriers preventing people from starting their own business and making extra income. You can find a great idea by answering four simple questions about your life:

Find an answer to those questions and youll be on the same path as thousands of our students who have found a profitable business idea.

Bonus: Need help coming up with a business idea? Click here to receive your very own PDF of 30 proven business ideas.

A lot of us tend to DREAD the idea of cutting costs and with good reason. Thoughts of not being able to go to your favorite fast food restaurant or your father yelling at you when you change the thermostat just a fraction of a degree often crop up.

But Mad Fientist suggests you focus on paying for the things you love and cut out all the rest.

Scrutinize and be conscious of your spending, he says. If you see a nice BMW you think you want consider one thing: You could have the BMW or you could be a year closer to not having to work for anyone ever again. Framing it that way helps. Its not like youre saving. Youre working towards your financial freedom.

Conscious of your spending. Conscious spending

I wonder where Ive heard that before?

Conscious spending allows you to know exactly how much money is in your bank account to spend without you worrying about having to make rent and pay the bills, because its already been done for you.

How? Through automated finances. This is the system where your paycheck automatically divvies up and transfers to where it needs to go as soon as you receive it.

Heres a 12-minute video of Ramit explaining exactly how to do it.

NOTE: If youre pursuing financial independence, youre going to want to adjust the percentage of money you put away to savings when you implement your plan. You can choose to save around 65% like Mad Fientist suggests, or you can choose to put half your paycheck into your savings like PoF encourages. Or you could go a different route. Its all up to you and your savings goals.

Using a conscious spending plan also allows you to not sweat the small things you like.

Realize that the small stuff is just that small stuff, PoF says. The biggest expenses are the big stuff like housing, transportation, and travel. Dont rent or buy too much home, spend too much on a luxury auto or lengthy commute, and learn to be comfortable at a Comfort Inn.

Remember: cut things you DONT care about, to focus on the things you do. Dont just indiscriminately cut everything.

You can also learn to cut costs by leveraging retirement accounts that give you amazing tax advantages.

If you want to find out more about awesome accounts like the Roth IRA and 401k be sure to check out our articles on the topic:

But for now, I want to talk to you about an account with fantastic tax leverages you might not have heard of before: health savings accounts (HSA).

According to the Mad Fientist, HSAs are tax-advantaged savings accounts available for people who are enrolled in high-deductible health insurance plans.

He continues, HSA account holders can contribute pre-tax dollars to the account and can then withdraw money from the account, tax-free, when paying for qualified medical expenses.

So you contribute tax-free money AND withdraw tax-free money.

As of writing this, you can contribute $3,550/year for individuals and $7,100/year for families to an HSA. By maxing it out each year, you can reduce your taxable income by $3,550.

Sure, you cant take the money out other than to pay for certain medical expenses but when you turn 65 you can without incurring any penalties.

That means all that tax-free money is yours, effectively lowering your taxed income over your lifetime by $3,550/year.

You should do all that you can to legally reduce your tax burden, PoF explains. If you max out your workplace retirement accounts and an HSA [Health Savings Account], you can deduct a significant sum from your taxable income. Theres only so much a wage earner can do, but do all that you can to pay the least and save the most.

Once you have your retirement accounts set up, youve taken steps to cut costs, and youre ready to earn more money, congrats! Youre on the road to early retirement.

Now I want to offer you something to dramatically cut down the time it takes to save for retirement even MORE:

This guide will give you the exact systems you need to help you earn extra income on the side and eventually achieve financial independence (if you want it).

Youll find our tactics to:

Download a FREE copy of the Ultimate Guide today by entering your name and email below and start your financial independence journey today.

Excerpt from:

Financial Independence - I Will Teach You To Be Rich

financial independence / early retirement

My wife and I are on our path to FI. We are in our 30s and we were a bit late to realize how money works. Although we just started, the thought of achieving something big, that never even crossed our minds before is very powerful and promising.

We are three years into our marriage and we made some bad decisions the first year which put us in a lot of debt and that eventually pushed me to know more about FI and how money works. Since then we have recovered and I can proudly say that we became debt-free 3 months ago. We have been trying to save as much as we can to build an emergency fund and once we achieve that, we will start to invest.

My only concern so far has been that my wife is not a math person. She has been 100% supportive of me taking charge of the finances and budgeting but when it comes to me showing her numbers and graphs, she freaks out and cannot comprehend. Its like she is scared of graphs and math. She told me she has been traumatized by her math teacher in class and she even fears calculators now. Keeping this in mind I never pushed her to learn about numbers and percentages and extrapolating graphs but I always wanted to teach her how investments work just in case I am incapacitated and she can take care of herself.

Yesterday, as I was thinking of ways to at least show her how our budget works, I remembered a diagram (sankey diagram) but I didnt know the name of it so I turn to you guys and tried to explain what I was looking for. I am so thankful to those that replied and told me it was Sankey diagram. I went ahead and make the Sankey diagram for my wife thinking it has no graphs, its very visual and easy to understand. And, when I went home and showed her that, she loved it! She understood everything listened to me with 100% attention while I was explaining everything to her on the diagram.

I just want to emphasize on the importance of your spouse being on-board in the FI journey and that you have to find ways of making it easy for them to get onboard and not push them to do it if they do not know the concept. For those of you who are still single, keep this in mind that once you are not single anymore, the most important thing in FI journey will be your spouse supporting, understanding and working towards your shared Financial Independence goal.

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financial independence / early retirement

Shortest Path to Financial Independence – Mad Fientist

What would you give up if someone said to you, If you give up five things, you can quit your job tomorrow and wont ever have to work again?

What else would you give up if you instead had to give up ten things? Fifteen things?

At some point it may not be worth it and youd rather keep your job but I imagine the list of things youd be happy to give up could be pretty long.

I actually thought about this a lot recently when creating the budget for The Perfect Life.

After determining what kind of life would make me and my wife happiest, I sat down to figure out exactly how much the perfect life would cost.

Before I describe the shortest path to financial independence, its probably a good idea to reiterate my definition of financial independence.

To me, financial independence is having enough income from your assets to cover your essential expenses so that you can survive without ever having to work again.

Never having to work again is very different from never working again.

Since I plan on working in some capacity after I achieve FI (on things I want to work on, rather than what my boss wants me to work on), Im not concerned with saving up enough money to cover my discretionary expenses.

Id rather reach FI as quickly as possible, quit my full-time job, and then slowly build up the amount of fun money I have by doing work that I enjoy.

As Mr. Money Mustache described in his First Retire, Then Get Rich article, its likely you will make more money and spend less post-FI than you anticipate. Therefore, Im happy with this plan and am in no way worried about living a boring life after financial independence.

So how can you achieve financial independence as quickly as possible?

The first thing you should do is list your current essential expenses. This will allow you to understand how much you spend per month and will help you better predict how much you will need to spend after you quit your job.

The number you computed in the previous step assumes your post-FI life will resemble your current life.

Most likely, this will not be the case. When you no longer have to work, the number of expenses that you incur should decrease.

This step is the fun part.

If you really envisage your post-FI life, you can quite happily drop expenses that are no longer necessary or important to you.

We currently own a house but plan on renting after reaching FI. There are a few reasons for this:

The decision to rent smaller apartments/houses in cheaper places will allow me to decrease my future monthly expenses significantly!

Sadly, we currently require two cars for me and my wife to both get to work. The costs associated with these cars is ridiculous and if I never have to own a car again, I wont. Post-FI, we wont need to own a car.

Not having a car will probably result in additional public transportation costs but by cutting out automobile ownership from our future expenses, I can decrease our future monthly expenses even further!

Im sure there are many expenses in your life that youd be happy to substitute for free alternatives post-FI if you take some time to think about it.

Theres a big, exciting world out there with many amazing, free things to do so why not start with those and then move on to things that cost money after you get bored of all the free options?

Library books instead of TV. Running instead of gym membership. Rock climbing on actual rocks instead of on a fake climbing wall that costs money to use.

You get the idea.

This exercise may help you decrease your current expenses even before you achieve financial independence.

If you ask yourself, would I give up x if it meant I could quit my job tomorrow and you answer yes, why would you continue paying that expense now? It is obviously not that important to you so why not remove that expense now and instead use that money to get one step closer to achieving FI?

The beauty of saving enough to only cover your essential expenses is that it will force you to really scrutinize your discretionary spending after you achieve FI.

If you have to go out and make extra money to buy something, youll most likely only buy things you really need or desire. You will truly be trading your free time for stuff so you will most likely only do that for things that are really important to you.

Theres no need to wait until FI to see if you can limit your discretionary spending to what your supplemental income can provide.

If you start developing supplemental income streams by doing things you enjoy now, youll be able to increase your savings rate while cutting out the discretionary expenses that really arent meaningful to you.

In conclusion, here are the simple steps to achieve financial independence as quickly as possible:

What would you consider giving up if it meant you could quit your job tomorrow?

Want to shorten your journey to financial independence even more? Check out this comprehensive guide How to Optimize Your Journey to Financial Independence

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Shortest Path to Financial Independence - Mad Fientist

Visions of an automotive future that hasn’t come to fruition – The ClassicCars.com Journal

Its 2020. But sometimes it feels like our futuristic dreams are stuck in the 1950s and 60s. And theres actually a good reason for that, reports Budget Direct Singapore, part of the Budget Direct insurance company that commissioned artwork based on bygone dreams.

The period between 1958 and 1963 might be described as a Golden Age of American Futurism, the insurance company continued. Bookended by the founding of NASA in 1958 and the end of The Jetsons in 1963, these few years were filled with some of the wildest techno-utopian dreams that American futurists had to offer.

Some of these futurists delved into the motoring and automotive design space and these types of retro-futuristic concepts were the ones that intrigued, the company continued in explaining the seven speculative blueprints of the past that were reimagined and set in a contemporary world with the following text:

Super-Cycle (1936)

The June 1936 cover of Modern Mechanix & Inventions Magazine promised two revolutionary technologies: television, and the 300 mph Super-Cycle. Sadly, the Super-Cycle and its unnamed inventor were quickly left behind by TV.

The Super-Cycle is capable of reaching record-breaking speeds on its spherical wheels. The driver is safely encased within the bikes aerodynamic shell. For added safety, there is a cushion attached to the front of the canopy windshield to lean your head on as you power forward.

And those twin motors? Two separate power plants are employed, one on each side of the powerful rigid chassis, explains the author, without even blushing.

Chrysler Heir (1941)

Gil Spear started as a specialist within the trade of car design: he mostly did the fronts. The 1939 Plymouth, 1939 New Yorker, and 1940 Saratoga front ends were his. And Chrysler adopted the wraparound grille on this unbuilt 1941 cruiser for their 1942 Royal (hence weve christened the 41 model the Chrysler Heir).

Spears proto-space-age Chrysler tapers to a point at the rear, encasing a maximum of two passengers in the bubble-like cockpit. We can imagine that the designer would have projected the speedometer onto the windscreen, since that was one of his proposals for Ford a few years later.

HobbyPop RoadShop (1958)

Nostalgic for woodwork, cheerful Partridge Family optimism, and casual sexism? Youll love this 1958 bus-length workshop on wheels. The elevated drivers cabin means Mum is far less likely to take a wrong turn. Plus, the entire lower deck is left free for Dad to use it as his carpentry workshop.

Okay, so Bruce McCall actually drew up the HobbyPop RoadShop in 2001 to parody vehicles like the others on our list. But its still an oddly plausible addition to the world of 20th century speculative vehicle design.

McLouth XV61 Concept (1961)

Syd Meads most famous vehicles are the Tron Light Cycle (which inspired Kanedas bike in Akira) and Blade Runners flying Spinner car. Meads military-funded design for a four-legged, gyro-balanced, walking cargo vehicle directly inspired the Star Wars AT-AT.

But if youre more of a Volvo sort of person, consider the XV61, which Mead designed for um the McLouth Steel Corporation. McLouth built the XV (Xperimental Vehicle) for the 61 New York International Automobile Show, boasting that the family car was both road safe and future safe because it would also run on the monorail. Minimal trim and simple geometric lines just about keep the XV61 down-to-Earth for the responsible family man with one eye on the future.

Singlets (1962)

Suddenly, the Singoletta doesnt seem far-fetched. Put a canopy on a Segway and you have the perfect social-distancing little vehicle.

A speed of no more than forty kilometers per hour. A minimum of protection from the weather. A minimum of space. A minimum of consumption. A minimum of cost.

The magazine artist Walter Molino illustrated the Singoletta for the Domenica del Corriere in 1962. But the actual inventor was the mysterious Cesare Armano, a pseudonym for the famous correspondent and science-fiction author Franco Bandini. Bandinis solution to the traffic pandemic would cost a quarter of the price of a Fiat 500, and 10 Singlets would fit in the space of one car. Plus, its electric motor would have been kind to the environment. Visionary!

The New Urban Car (1970)

In 1970, the average 4-seater carried just 1.2 humans (today, its 1.67), y, clogging the air and roads. Automotive writer Ken W. Purdy imagined the solution in a Playboy article illustrated by Syd Mead.

Tomorrows in-city car would be a two-seater with a cheap, quiet, slightly greener gas turbine in place of the internal combustion engine.

Space is maximized by combining the steering wheel and accelerator into a single fold-away lever. Swing it to steer, twist it to accelerate.

The rear unit including wheels, turbine, and transmission is detachable to make repairs easier.

A cheap but adequate two-way telephone comes as standard. Looking for the doors? The canopy simply flips open and is hinged at the bumper.

Anti-Gravity Car (1979)

Meads 1979 anti-gravity vehicle conjures worlds beyond us, being part Spinner and part TIE fighter with a hint of Batwing.

We dont really know what gravity is but were going to figure it out, Syd Mead told Car Magazine, shortly before his death. I think thats the next huge breakthrough in controlling the real world.

The Anti-Gravs wraparound windscreen gives the driver-pilot a clear view in all directions. But wherever youre going, you still need roads as this is a hovering vehicle rather than an all-out flying car.

Note to city planners: Meads illustration includes buffer walls at street level to stop the cars overhanging fins from knocking down pedestrians!

Any attempt to predict the future of vehicle technology is doomed to be a bit absurd, the Budget Direct team continues. But the future is much closer than it used to be, and the world around is starting to look distinctly Jetsons-like.

Self-driving cars cruise the streets, even if they can be outwitted by a mischief with a can of paint. Mercedes-Benz posits the Urbanetic (the name Urbmobile was already taken in 1968), a self-driving, fully electric auto with an interchangeable body. Yes, the whole body.

And Elon Musk says Teslas cartoonish Cybertruck was inspired by Syd Meads Spinner. The consumer pickup has the specs of a sports car, armored glass, an impenetrable exoskeleton, and the option to include a fold-out barbeque and picnic table at the back. Perhaps Musk has been studying some of historys sillier car designs, too.

A note on methodology and sources: The team started by gathering interesting concepts created by visionaries, artists, and inventors depicting what they thought vehicles in the future might look like. They then researched each image further: who created it, where it was originally published and when, as well as any interesting facts or important features. Finally, a team of specialist designers created new, realistic renders based on the original drawings bringing these vehicles that never were to life.

Sources:

Abrams, A. (2010). Retrofuture Transportation Showcase. darkroastedblend.com

Modern Mechanix. (2006). Super-Cycle to Smash All Speed Records. blog.modernmechanix.com

Novak, M. (2007). Cars Detroit Forgot To Build. paleofuture.gizmodo.com

Pittenger, D. (2012). Gil Spear and the 1942 Chrysler. artcontrarian.blogspot.com

Sabatini, R. (2020). Coronavirus, the prophetic cover of Domenica del Corriere in 1962: We will go around like this. ilmessaggero.it

Sand, C. (2017). Syd Mead Urban Car design study. retro-futurism.livejournal.com

Tate, R. (2017). Syd Mead and Stainless Steel in a Concept for the Future. motorcities.org

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Visions of an automotive future that hasn't come to fruition - The ClassicCars.com Journal

Is Artificial intelligence the Future of IT Help Desk? – Analytics Insight

Artificial intelligence is one of the biggest markets for growth within the field of technology today. In fact, AI is rapidly empowering us to make major changes to various fields within the realm of technology. Help desk is no stranger to the idea that there is room for improvement within this niche of technology.

Businesses use help desk software to manage a variety of different types of information. From customers questions and concerns to employee computer repair requests, help desk is a solution for organizing, responding to, and gathering results from each of those individual tickets that are completed.

If you utilize a help desk for your own business, then you may have wondered how help desk could be changing in the near future. You might even be surprised that one of the many ways help desk could change is by utilizing AI technology to improve its accuracy and dependability.

One of the biggest areas of improvement that comes through the AI world within technology is the use of bots to chat with customers about their needs and any questions which may arise. Using AI, a business can employ virtual chatbots to troubleshoot concerns from the person visiting the help desk, SysAid is one such business already trialling out and employing AI on help desk concerns. This can greatly reduce the number of tickets that the help desk employees go through on a daily basis.

Although you can give users the opportunity to code their ticket in a certain priority rank, you can also use AI to help formulate the order in which those tickets should be reviewed. This function would also make the help desk more intuitive for the user because it can help the user auto-populate various options.

There are a number of ways that AI tools can help to build insight into the information that a help desk might find useful. First, using AI tools, a help desk can populate responses to the problem that a person is reporting. This can help to reduce the number of tickets that the help desk has to respond to on a daily basis.

AI can also help to formulate the most popular types of insight that are requested through this tool. Tracking this type of data can help the tech team to understand where there are weaknesses in their systems in use. Further, this same type of data tracking can help the tech team understand their weaknesses in response to certain issues as well. Using this data, tech teams can enhance their own performance to the questions that are posed through help desk technology.

Artificial intelligence is going to change the way that a lot of different technology tools are able to help us in the future. These tools automate processes and actually help the tech team to manage and understand their own worth in a new light. Further, AI can automate the system in such a way that the tech team has time to focus less on help desk requests and more on the bigger issues at hand with their resources.

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Is Artificial intelligence the Future of IT Help Desk? - Analytics Insight

Experts Are Divided Over Future Of Artificial Intelligence But Agree On Its Growing Impact – Outlook India

As humans, we love contrast. It is no wonder that experts, while defining the impact of Artificial Intelligence (AI) on the future of humankind, are at two ends of the spectrum. One is a happy scenario of human beings and artificially intelligent machines coexisting in perfect harmony. Another is an Orwellian dystopia of AI dominance over human intelligence and civilization. While there may be disagreements about the future, everyone agrees on the impact and growing ubiquity of AI.

Let us look at the potential impact of AI on our society. Algorithms have been generally successful in predicting almost all the weather calamities (except, of course, earthquakes) with reasonable accuracies. Since we started using AI, global death share from natural disasters since 2010 has reduced from 0.47% of all world deaths to 0.02% in 2017. AI worked wonders in healthcare by increasing the accuracy and timeliness of disease detection. Using a combination of big data and machine learning algorithms, we can predict machine part failures better. Stability of electricity grids, metal productions and commodity prices are predicted with astonishing precisions.

Enterprises were quick to jump on the AI bandwagon. Big four tech companies are seen to have made most of it. In the midst of the pandemic, global news media on June 9 reported an all-time high share prices for these companieswith a combined market capitalisation of almost $5 trillion. These companies are changing the way we live, do business and relax. We navigate lot more smoothly now with maps on our phone and do not need a translator to understand another language. We have super-efficient digital assistants to manage our schedules intelligently and can buy essential items from our phones.

Consumer packed goods companies have started using big data and machine learning to determine which of the retail stores should get what commodity and at what price. Many of the manufacturing organisations worldwide have started using predictive analytics to analyse their planning efficiency. Using AI techniques, logistics and transportation companies have started planning significant route optimisation, reducing cost and delivering faster to ports. Banks, stock markets and insurance companies use data, machine learning techniques and natural language processing techniques to provide the precise stocks and other financial products recommendations to their customers. Transformative aspects of AI seem to be going beyond delivering powerful use cases and outcomes. It seems to be changing the model of business itself. Organisations are no longer getting measured by the number of employees, assets and real estate they hold. Classic adage of David killing a Goliath is not a fable anymore. AI seems to have the potential to take a powerful business opportunity, analyse a lot of data with powerful algorithms and present the outcome through multiple channels to bring transformation right at the doorsteps (or screens) of consumers. Possibly, that is where it is getting a bit worrisome.

In his 2018 best seller Factfulness, Dr. Hans Rosling points out five global risks that should worry the human race. He could not have been more prophetic. First of them was global pandemic; others being financial collapse, World War III, climate change and extreme poverty. In the middle of a significant disruption, AI is seen to present a real disturbing proposition. Can the enterprise bring in more automation to replace the severely depleted job markets? Can the potential of AI create a situation where powerful corporations and states with the power of algorithm, processing capability of big data get into a position of more unassailable lead - where they have absolute power and society? Would we be left with the intent and resources to focus on most important challenge in post COVID world - more people than ever in the state of extreme hunger?

German philosopher Arthur Schopenhauer wrote, Talent hits a target that no one else can hit, Genius hits the target no one else can see. Human geniuses have their limited time to shape the future as clock ticks on.

(The author is partner, Deloitte India. Views expressed are personal.)

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Experts Are Divided Over Future Of Artificial Intelligence But Agree On Its Growing Impact - Outlook India

"Artificial Intelligence Will Make Medicine Better in the Long Run" – Biophotonics.World

Image source: Leibniz IPHT

By: Sven Dring

Leibniz IPHT is increasingly focusing on artificial intelligence and learning systems. Thomas Bocklitz is heading the new research department "Photonic Data Science". We asked him how AI could help shape the future of diagnostics

What new possibilities does Photonic Data Science open up for diagnostics?

Photonic Data Science is a potpourri combining mathematical and statistical methods with algorithms and domain knowledge to translate measurement data into useful information. We usually translate photonic data into biomedical for example diagnostic information. By translating with the computer, robust diagnostic information can be extracted. Tiny details in complex data can be made useful for diagnostics. This opens up new possibilities for diagnostics.

Artificial intelligence (AI) then helps to evaluate this data. Which technologies researched at the institute are based on AI?

In the laser-based rapid test of infectious pathogens, machine learning methods and algorithms for data pre-treatment are used to translate Raman spectra of bacteria into a resistance prediction i.e. to predict pathogens and antibiotic resistances on the basis of the spectroscopically recorded data. For the compact microscope Medicars we use deep and machine learning techniques to translate multimodal image data into a tissue prediction for the detection of tumor margins. In smartphone microscopy, which is being researched by Rainer Heintzmann's team, image enhancement is achieved by means of deep learning procedures.

Where do the data sets come from that are currently mainly used? Can they be applied equally to all patients?

The data sets are generated within clinical studies, which we supervise from the beginning. The studies are still too small to exclude a gender bias, but we are working on the experimental design so that there is no gender bias in the training data set and we hope that the models will not generate any bias.

Does the automated analysis of medical control data also carry a risk? A loss of control?

Of course, every technology has risks, although these are manageable here. Artificial intelligence or machine learning processes only work well if the new test data is similar to the training data. We try to tackle this problem by creating the necessary similarity through standardization and model transfer in order to im- prove the predictions. There is a loss of control when the models are applied fully automatically. But in the medium term the models will only represent a second opinion, so there will be no loss of control.

Can physicians improve the learning systems? Is the procedure of AI applications comprehensible for them?

Physicians can increase the database or reduce the uncertainty of the metadata i.e. labels by pooling or voting, which leads to better models. The traceability of AI models is a major topic in current machine learning research Keyword "Explainable AI". The aim is to decipher these models in order to make it clearly understandable how mass-based learning methods and deep learning systems achieve their results.

Can AI be perfected to the point where it can eventually make better diagnoses than a human?

I think so, if the data is highly standardized. Another challenge is to demonstrate that improvement. This requires quite long clinical trials and is ethically problematic.

Could AI ever replace doctors instead of just to supporting them? For example, could operations be performed by AI-controlled robots at some point?

I don't think so, because there are many uncertainties in an operation that must be reacted to flexibly. This is not a prominent feature of current AI procedures. It's more likely that the surgical robots will do very specific things directly on the operator's instructions.

Will AI make medicine better?

In the long run, I think so. But first, it will make diagnostics more comparable and it will also allow data to be used not only sequentially, but in combination.

Artificial Intelligence, Machine Learning, Deep Learning

Decision making, problem solving, learning these are actions that we commonly associate with human thinking. We call their automation artificial intelligence (AI). An important part of AI is machine learning (ML). Scientists are researching algorithms andstatistical or mathematical methods with which computer systems can solve specific tasks.

For this purpose, machine learning methods construct a statistical-mathematical model from an example data set, the training data. On this basis, ML methods can make predictions or make decisions without having been explicitly programmed for it. ML techniques are used, for example, for spam detection in e-mail accounts, in image processing, and for the analysis of spectroscopic data. Deep learning is a method of machine learning that is similar to the way the human brain processes visual and other stimuli. Artificial neurons receive input, process it and pass it on to other neurons.Starting from a first, visible layer, the characteristics in the subsequent, hidden intermediate layers become increasingly abstract. The result is output in the last, again visible layer.

Making Tumor Tissue Visible with AI

Did the surgeon remove the entire tumor during surgery? In order to find out, researchers are combining optical methods with artificial intelligence (AI) and data pre-processing methods. AI is behind the compact Medicars microscope, for example, which enables rapid cancer diagnosis during surgery. Here, patterns and molecular details of a tissue sample irradiated with laser light are automatically evaluated and translated into classical images of standard diagnostics. Thus, tumor margins become visible.

"For this purpose, we train AI algorithms together with pathologists," explains Thomas Bocklitz. We take multimodal images of a tissue sample with our laser-based multi- modal microscope. In pathology, the tissue section is then embedded, stained, and an image of the HE- stained tissue section is taken (HE = haematoxylin-eosin). This enables the pathologist to recognize tumor tissue. Then we put the multimodal and the HE image side by side."

Based on the pathologist's analysis of the tissue structure and morphology, the research team teaches the algorithm which tissue is healthy and which is sick. "In this supervised approach, the algorithm learns to distinguish successive, healthy and diseased areas." With success: The accuracy of the predictions is more than 90 percent according to tests on a small group of patients.

Source: Leibniz IPHT

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"Artificial Intelligence Will Make Medicine Better in the Long Run" - Biophotonics.World

How machine learning and artificial intelligence can drive clinical innovation – PharmaLive

By:

Dr. Basheer Hawwash, Principal Data Scientist

Amanda Coogan, Risk-Based Monitoring Senior Product Manager

Rhonda Roberts, Senior Data Scientist

Remarque Systems Inc.

Everyone knows the terms machine learning and artificial intelligence. Few can define them, much less explain their inestimable value to clinical trials. So, its not surprising that, despite their ability to minimize risk, improve safety, condense timelines, and save costs, these technology tools are not widely used by the clinical trial industry.

Basheer Hawwash

There are lots of reasons for resistance: It seems complicated. Those who are not statistically savvy may find the thought of algorithms overwhelming. Adopting new technology requires a change in the status quo.

Yet, there are more compelling reasons for adoption especially as the global pandemic has accelerated a trend toward patient-centricity and decentralized trials, and an accompanying need for remote monitoring.

Machine learning vs. artificial intelligence. Whats the difference?

Lets start by understanding what the two terms mean. While many people seem to use them interchangeably, they are distinct: machine learning can be used independently or to inform artificial intelligence; artificial intelligence cannot happen without machine learning.

Machine learning is a series of algorithms that analyze data in various ways. These algorithms search for patterns and trends, which can then be used to make more informed decisions. Supervised machine learning starts with a specific type of data for instance, a particular adverse event. By analyzing the records of all the patients who have had that specific adverse event, the algorithm can predict whether a new patient is also likely to suffer from it. Conversely, unsupervised machine learning applies analysis such as clustering to a group of data; the algorithm sorts the data into groups which researchers can then examine more closely to discern similarities they may not have considered previously.

In either case, artificial intelligence applies those data insights to mimic human problem-solving behavior. Speech recognition, self-driving cars, even forms that auto-populate all exist because of artificial intelligence. In each case, it is the vast amounts of data that have been ingested and analyzed by machine learning that make the artificial intelligence application possible.

Physicians, for instance, can use a combination of machine learning and artificial intelligence to enhance diagnostic abilities. In this way, given a set of data, machine learning tools can analyze images to find patterns of chronic obstructive pulmonary disease (COPD); artificial intelligence may be able to further identify that some patients have idiopathic pulmonary fibrosis (IPF) as well as COPD, something their physicians may neither have thought to look for, nor found unaided.

Amanda Coogan

Now, researchers are harnessing both machine learning and artificial intelligence in their clinical trial work, introducing new efficiencies while enhancing patient safety and trial outcomes.

The case of the missing data

Data is at the core of every clinical trial. If those data are not complete, then researchers are proceeding on false assumptions, which can jeopardize patient safety and even the entire trial.

Traditionally, researchers have guarded against this possibility by doing painstaking manual verification, examining every data point in the electronic data capture system to ensure that it is both accurate and complete. More automated systems may provide reports that researchers can look through but that still requires a lot of human involvement. The reports are static and must be reviewed on an ongoing basis and every review has the potential for human error.

Using machine learning, this process happens continually in the background throughout the trial, automatically notifying researchers when data are missing. This can make a material difference in a trials management and outcomes.

Consider, if you will, a study in which patients are tested for a specific metric every two weeks. Six weeks into the study, 95 percent of the patients show a value for that metric; 5 percent dont. Those values are missing. The system will alert researchers, enabling them to act promptly to remedy the situation. They may be able to contact the patients in the 5 percent and get their values, or they may need to adjust those patients out of the study. The choice is left to the research team but because they have the information in near-real time, they have a choice.

As clinical trials move to new models, with greater decentralization and greater reliance on patient-reported data, missing data may become a larger issue. To counteract that possibility, researchers will need to move away from manual methods and embrace both the ease and accuracy of machine-learning-based systems.

The importance of the outlier

In research studies, not every patient nor even every site reacts the same way. There are patients whose vital signs are off the charts. Sites with results that are too perfect. Outliers.

Rhonda Roberts

Often researchers discover these anomalies deep into the trial, during the process of cleaning the data in preparation for regulatory submission. That may be too late for a patient who is having a serious reaction to a study drug. It also may mean that the patients data are not valid and cannot be included in the end analysis. Caught earlier, there would be the possibility of a course correction. The patient might have been able to stay in the study, to continue to provide data; alternatively, they could be removed promptly along with their associated data.

Again, machine learning simplifies the process. By running an algorithm that continually searches for outliers, those irregularities are instantly identified. Researchers can then quickly drill down to ascertain whether there is an issue and, if so, determine an appropriate response.

Of course, an anomaly doesnt necessarily flag a safety issue. In a recent case, one of the primary endpoints involved a six-minute walk test. One site showed strikingly different results; as it happened, they were using a different measurement gauge, something that would have skewed the study results, but, having been flagged, was easily modified.

In another case, all the patients at a site were rated with maximum quality of life scores and all their blood pressure readings were whole numbers. Machine learning algorithms flagged these results because they varied dramatically from the readings at the other sites. On examination, researchers found that the site was submitting fraudulent reports. While that was disturbing to learn, the knowledge gave the trial team power to act, before the entire study was rendered invalid.

A changing landscape demands a changing approach

As quality management is increasingly focusing on risk-based strategies, harnessing machine learning algorithms simplifies and strengthens the process. Setting parameters based on study endpoints and study-specific risks, machine learning systems can run in the background throughout a study, providing alerts and triggers to help researchers avoid risks.

The need for such risk-based monitoring has accelerated in response to the COVID-19 pandemic. With both researchers and patients unable or unwilling to visit sites, studies have rapidly become decentralized. This has coincided with the emergence and growing importance of patient-centricity and further propelled the rise of remote monitoring. Processes are being forced online. Manual methods are increasingly insufficient and automated methods that incorporate machine learning and artificial intelligence are gaining primacy.

Marrying in-depth statistical thinking with critical analysis

The trend towards electronic systems does not replace either the need for or the value of clinical trial monitors and other research personnel; they are simply able to do their jobs more effectively. A machine-learning-based system runs unique algorithms, each analyzing data in a different way to produce visualizations, alerts, or workflows, which CROs and sponsors can use to improve patient safety and trial efficiency. Each algorithm is tailored to the specific trial, keyed to endpoints, known risks, or other relevant factors. While the algorithms offer guidance, the platform does not make any changes to the data or the trial process; it merely alerts researchers to examine the data and determine whether a flagged value is clinically significant. Trial personnel are relieved of much tedious, reproducible, manual work, and are able to use their qualifications to advance the trial in other meaningful ways.

The imperative to embrace change

Machine learning and artificial intelligence have long been buzzwords in the clinical trial industry yet these technologies have only haltingly been put to use. Its time for that pendulum to swing. We can move more quickly and more precisely than manual data verification, and data cleaning allow. We can work more efficiently if we harness data to drive trial performance rather than simply to prove that the study endpoints were achieved. We can operate more safely if we are programmed for risk management from the outset. All this can be achieved easily, with the application of machine learning and artificial intelligence. Now is the time to move forward.

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How machine learning and artificial intelligence can drive clinical innovation - PharmaLive

Top Artificial Intelligence and Robotics Investments in July 2020 – Analytics Insight

Artificial Intelligence is growing at a faster pace. Despite the unprecedented situation of coronavirus, 2020 till date has witnessed sustained momentum. Funding has increased by 51% to $8.4B from the previous quarter. With this faster pace, it is also attracting a series of funding and financial investments. Lets go through some of the important investments in artificial intelligence and robotics companies in July 2020.

Amount Funded: $6 million

Transaction Name: Seed Round

Lead Investors: Kindred Capital and Capnamic Ventures

BotsAnduS creates robots that work with people in shopping centers, retail stores, office buildings, airports etc. They aim at digitising the full customer journey by automating the collection of onsite data and providing 24/7 customer service.

BotsAnduS has reported that it has raised a $6m seed funding, which was co-driven by Kindred Capital and Capnamic Ventures, along with angel investors participating in the round.

Amount Funded: $225 million

Transaction Name: Seed E Funding

Lead Investors: Alkeon Capital Management

UiPath, a leading RPA company has brought $225 million up in Seed E funding. The round was driven by Alkeon Capital Management. Other investors participating in the round are Accel, Coatue, Dragoneer, IVP, Madrona Venture Group, Sequoia Capital, Tencent, Tiger Global, Wellington. The funding will be utilized for developing automation solutions in order to mitigate the risks posed on productivity and supply of human workers.

Amount Funded: $100 million

Transaction Name: Series C Funding

Lead Investors: Next47

Skydio is a leader in autonomous flight technology and a U.S. drone manufacturer. Skydio raised $100 million in Series C funding. The round was driven by Next47 along with Levitate Capital, NTT DOCOMO Ventures, and existing investors including Andreessen Horowitz, IVP, and Playground participating in the round. The organization will utilize the funding to grow its operations in public sector markets and accelerate product development.

Amount Funded: $56.2 million

Transaction Name: Series A Funding

Lead Investors: Lightspeed Venture Partners

The Bay Area-based robotics startup , has raised $56.2 million up in Series A funding led by Kleiner Perkins, Lightspeed Venture Partners, Obvious Ventures, Pacific West Bank, B37 Ventures, Presidio (Sumitomo) Ventures, Blackhorn Ventures, Liquid 2 Ventures and Stanford StartX.

Dexterity offers robots for warehousing, logistics and supply chain operations. It has already seen a boost from the push for essential services during the COVID-19 pandemic.

Amount Funded: $13m

Transaction Name: Series A Funding

Lead Investors: Index Ventures

Abacus.AI, a San Francisco, CA-based AI research and AI cloud services company, has as of late brought $13m up in Series A funding driven by Index Ventures, with participation from Eric Schmidt, Ram Shriram, Decibel Ventures, Jerry Yang, Mariam Naficy, Erica Shultz, Neha Narkhede, Xuezhao Lan, and Jeannette Furstenberg.

The company will use the funding to grow its research team and scale its operations.

Amount Funded:

Transaction Name: Series A

Lead Investors: ETP Ventures

Deep Longevity, a biotechnology company transforming longevity R&D through AI-discovered biomarkers of aging, has raised Series A funding of an undisclosed amount. The round was led by ETP Ventures and different prominent investors like BOLD Capital Partners, Longevity Vision Fund, Oculus, Formic Ventures, and LongeVCalso participated.

Amount Funded:

Transaction Name: Seed funding

Lead Investors: Y Combinator

The company raised an undisclosed amount of Seed funding. Nana is building the Guild for the eventual future of work. A distributed workforce of tradespeople, starting with the $4B Appliance Repair industry. Nana is an on-demand home maintenance marketplace. A marketplace meets modern trade school, showing new aptitudes and associating the 10M+ Americans who will be affected via automation to more compelling jobs in the home services space.

Nana is a place for consumers to complete things, and AI and a learning management system for skilled professionals.

Amount Funded: $53m

Transaction Name: Series B

Lead Investors: DCVC

Caption Health, the Calif.-based medical artificial intelligence (AI) company, has raised a $53m Series B funding driven by existing investor DCVC. Other investors which participated in the round are Atlantic Bridge, Edwards Lifesciences, along with existing investor Khosla Ventures. . The company plans to scale up its operations and develop its AI technology platform.

Amount Funded: $6.5m

Transaction Name: Series A

Lead Investors: Debiopharm

Computational biology startup Nucleai raised $6.5m Series A funding led by Debiopharm a Swiss biopharmaceutical company. Previous investors Vertex Ventures and Grove Ventures also participated in the round.

Nucleai offers an AI-powered precision oncology platform that offers biomarker discovery and treatment decisions for cancer treatments. It combines machine learning and computer vision to model the characteristics of both the tumour and the patients immune system.

Amount Funded: 2.5m

Transaction Name: Seed Funding

Lead Investors: NPIF and XTX Ventures

Logicaly, a UK-based dtech startup declared that it has raised 2.5m seed funding from NPIF and XTX Ventures. The company aims to use the funding to continue developing its product in time for the US election.

The startup deploys AI to detect fake and news and misinformation as well as provide fact-checking service to combat fake news.

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Top Artificial Intelligence and Robotics Investments in July 2020 - Analytics Insight

Job interviews: Recruiters are using artificial intelligence to analyse what you say to find the right hire – TechRepublic

Harqen's AI platform analyses language to determine a candidate's suitability for a role, potentially making it less prone to bias than video-based recruitment technology.

Artificial-intelligence-based hiring tools are already transforming the recruitment process by allowing businesses to vastly speed up the time it takes to identify top talent. With algorithms able to scour applications databases in the fraction of a time it would take a human hiring manager, AI-assisted hiring has the potential not only to give precious time back to businesses, but also draw in candidates from wider and more diverse talent pools.

AI-assisted hiring is also posited as a potential solution for reducing human bias whether subconscious or otherwise in the hiring process.

SEE: Robotic process automation: A cheat sheet (free PDF) (TechRepublic)

US company Harqen has been offering hiring technologies to some of the world's biggest companies for years, partnering with the likes of Walmart, FedEx and American Airlines to streamline and improve their hiring processes. Originating as an on-demand interviewing provider, the company has now expanded into AI with a new platform that it says offers a more dependable and bias-free means of matching employers with employees.

The solution, simply called the Harqen Machine Learning Platform, analyses candidate's answers to interview questions and assesses the type of words and language used in their responses. According to Harqen, this allows it to put together a profile of psychological traits that can be used to help determine a candidate's suitability for a role.

Combined with a resume analysis, which provides a more straightforward determiner of whether a candidate's professional and educational background fits with the requirements of the job, Harqen says its machine-learning platform is capable of making the same hiring decision as human recruiters 95% of the time. In one campaign that assessed approximately 3,500 job applications with "a very large US diagnostic firm" in early 2020, Harqen's machine-learning platform successfully predicted 2,193 of the candidate applications that were accepted, and 1,292 that were declined.

Key to Harqen's offering is what the company's chief technology officer Mark Unak describes as the platform's linguistic analysis, which can identify word clusters that are specific to certain job types but also offers a personality analysis based on the so-called "big five" traits, also known as the OCEAN model (openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism), which can help hiring managers determine a candidate's enthusiasm for the position.

"We have a dictionary of terms where most positive words are ranked as a +5 and most negative words are ranked as a -5, so we can determine how enthusiastic you are in the answers that you're giving," Unak tells TechRepublic.

"We can also use a linguistic analysis to analyse the grammar," he adds, noting that about 60% of our vocabulary consists of just 80 words. Those are the pronouns, the propositions, the articles and the intransigent verbs. "The remaining 10,000 words in the English language fill in that 40%. By the analysis of how you use that, we can get a psychological trait analysis."

Harqen's machine-learning tool analyses word clusters to help determine candidates' personality traits, such as enthusiasm.

Source: Harqen.ai

According to Unak, using a machine-learning system that determines a candidate's suitability based on linguistic analysis is a more accurate and impartial method than those that rely on facial-scanning or vocal-inflection algorithms. Such machine-learning techniques within hiring are on the rise and are increasingly being adopted by major companies around the world.

"That's kind of problematic," says Unak. "Not everybody expresses emotions in the same way, with the same facial expressions, and not everybody expresses the same emotion that's expected. Different cultures and different races might have different problems in expressing those facial expressions and having the computer recognise them."

SEE:Diversity and Inclusion policy (TechRepublic Premium)

By only analysing the linguistic content that has been transcribed from recorded interviews, Harqen's algorithm never factors in appearance, facial expressions, or other self-reported personality traits that could be unreliable. Unak says the company will also retrain its models on a regular basis as new data comes in, which will help ensure that algorithms don't get stuck in their old ways if candidates begin giving new answers to questions that are equally relevant.

"If our customer evolves and they start to hire people who are either more diverse, or come up with different answers to the questions that are just as relevant, our models will pick that up," Unak adds.

Diversity whether based on gender, race, age or otherwise has been show to play a significant role in the success or failure of workplace productivity and collaboration. Whether AI-based hiring tools can help here remains to be seen, and ultimately depends on whether they can be implemented in a fair and impartial way.

Beyond diversity, Harqen is exploring how its machine-learning tool could help businesses get the best return on investment form their hiring choices. The magic word here is delayed gratification: the ability to accurately identify employees who can resist the temptation for immediate rewards and instead persevere for an even greater payoff in the future.

"It's grit, it's persistence, it's the ability to imagine a future and it's the ability to develop and execute a plan to get there," says Unak. "Isn't that what hope and delayed gratification mean? I hope for a better future, I can imagine it, my hope is realistic and that there's a plan or a way to get there, and I'm going to work towards it."

Learn the latest news and best practices about data science, big data analytics, and artificial intelligence. Delivered Mondays

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Job interviews: Recruiters are using artificial intelligence to analyse what you say to find the right hire - TechRepublic

Unusual four-stranded configuration of DNA plays a vital role in breast cancer – Tech Explorist

Four stranded DNA structures known as G-quadruplexes, form in regions of DNA that are rich in one of its building blocks, guanine (G).

In a new study, scientists from the University of Cambridge discovered that G-quadruplexes form in preserved tumor tissue/biopsies of breast cancer.

Scientists used their quantitative sequencing technology to study G-quadruplex DNA structures in 22 model tumors. The models were generated by taking biopsies from patients at Addenbrookes Hospital, Cambridge University Hospital NHS Foundation Trust, then transplanting and growing the tumors in mice.

During the procedure of DNA replication and cell division that happens in cancer, large regions of the genome can be erroneously duplicated a few times, prompting alleged copy number aberrations (CNAs). The analysts found that G-quadruplexes are common inside these CNAs, especially inside genes and genetic regions that assume a vital job in transcription and, thus, in driving the tumors growth.

Professor Sir Shankar Balasubramanian said,Were all familiar with the idea of DNAs two-stranded, double helix structure, but over the past decade its become increasingly clear that DNA can also exist in four-stranded structures and that these play an important role in human biology. They are found in particularly high levels in cells that are rapidly dividing, such as cancer cells. This study is the first time that weve found them in breast cancer cells.

Dr. Robert Hnsel-Hertsch, who is now at the Center for Molecular Medicine Cologne, University of Cologne, said,The abundance and location of G-quadruplexes in these biopsies gives us a clue to their importance in cancer biology and the heterogeneity of these breast cancers.

Importantly, it highlights another potential weak spot that we might use against the breast tumor to develop better treatments for our patients.

Professor Carlos Caldas from the Cancer Research UK Cambridge Institute said:While we often think of breast cancer as one disease, there are actually at least 11 known subtypes, each of which may respond in different ways to different drugs.

Identifying a tumors particular pattern of G-quadruplexes could help us pinpoint a womans breast cancer subtype, enabling us to offer her a more personalized, targeted treatment.

By targeting the G-quadruplexes with synthetic molecules, it may be possible to prevent cells from replicating their DNA and so block cell division, halting the runaway cell proliferation at the root of cancer. Scientists identified two such molecules one known as pyridostatin and a second compound, CX-5461, which has previously been tested in a phase I trial against BRCA2-deficient breast cancer.

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Unusual four-stranded configuration of DNA plays a vital role in breast cancer - Tech Explorist

T-knife Completes 66 Million Series A Financing to Develop Next-Generation T-Cell Therapies – GlobeNewswire

BERLIN, Aug. 06, 2020 (GLOBE NEWSWIRE) -- T-knife GmbH, a next-generation adoptive T-cell company using its proprietary humanized T-cell receptor (HuTCR) mouse platform to treat solid tumors, announced today the closing of a 66 million Series A round of financing. The round was led by Versant Ventures and RA Capital Management, with significant participation from existing investors Andera Partners and Boehringer Ingelheim Venture Fund (BIVF).

The Company was spun out of Max-Delbruck Center for Molecular Medicine with support of Charit University Hospital in Berlin in 2018, where its proprietary HuTCR transgenic mouse platform carrying the entire human TCR gene loci was established by the pioneering work of Prof. Thomas Blankenstein, T-knifes co-founder. Due to its natural in vivo selection of high-affinity TCRs, T-knifes TCR-T-cell platform has the potential to be a marked improvement over existing TCR technologies in treating solid tumors.

Having worked in stealth mode to create a powerful humanized mouse platform bearing the human TCR loci,it is especially gratifying to now receive the validation from esteemed healthcare dedicated funds like Versant Ventures and RA Capital, commented Elisa Kieback, Chief Executive Officer and scientific co-founder of T-knife. We are equally grateful for the continued support of our founding shareholders, Andera Partners andBoehringer Ingelheim Venture Fund, two top-tier healthcare investors who have been our true partners since inception. Going forward, our goal is to become a transatlantic company by establishing a U.S. presence and expanding our management team accordingly.

T-knifes proprietary HuTCR mouse expresses only human TCRs that are restricted to human HLA. Due to their natural generation in mice without negative thymic selection, these TCRs are of high specificity and high affinity. The Company has generated a pipeline of patented, unique TCR candidates for clinical development. Proceeds from the Series A round will be allocated to advancing at least four programs into the clinic, ramping-up preclinical work for additional selected proprietary pipeline candidates and discovering TCRs against novel targets.

Moving forward, T-knifes Board of Directors will be comprised of Josh Resnick (RA Capital), Alex Mayweg (Versant Ventures), Olivier Litzka (Andera Partners), Frank Kalkbrenner (BIVF), Thomas Blankenstein and Elisa Kieback. The Company was advised by Blueprint Life Science Group on the fundraising and by CMS on all legal aspects of the transaction. The new investors were advised by Goodwin Procter. The transaction will close upon governmental and anti-trust clearance.

Alex Mayweg of Versant Ventures commented, While CAR-T-based therapieshave already demonstrated their power in the treatment of hematological cancers, their foray into solid tumors has proven to be less successful. T-knife has developed an exciting technology as its TCR-T cell therapy targets tumor antigens in an MHC-restricted manner, allowing it to be one of the few platforms that is able to target solid tumors. We are consequently thrilled to co-lead this round with RA Capital, a preeminent healthcare dedicated fund, as their investment mandate mirrors our own mission to identify and support game-changing therapies with curative intent.

We are delighted thatT-knife is now an RA Capital portfolio company and are especially pleased to partner with Versant Ventures on leading this financing round, commented Josh Resnick of RA Capital Management. With the Companys financial and strategic support now in place, we look forward to working alongside management and fellow investors bring T-knifes potentially transformative T-cell therapies to solid tumor patients.

Olivier Litzka of Andera Partners added, Together with our seed round co-investor BIVF and their representative Detlev Mennerich, who also served as the Companys Chairman over the past two years, we are extremely proud of T-knifes progress, culminating in this transformational, top quality Series A round. We commend Elisa, Thomas and the team for their accomplishments, and welcome our new partners who share the vision of making T-knife the premier leader in the cell therapy field.

About T-knife GmbHT-knife is a next-generation adoptive T-cell company utilizing its proprietary humanized T-cell receptor (HuTCR) mouse platform technology to treat solid tumors. It was founded as a spin-off from Max-Delbruck Center for Molecular Medicine with support of Charit University Hospital in Berlin in 2018. Ascenion GmbH, technology transfer partner of MDC and Charit, accompanied the scientists from the beginning, continuously expanded the patent base, supported the acquisition of pre-seed funding and the negotiation of collaboration and license agreements in coordination with MDC and Charit.

T-knifes mission is to use its unique technology to bring highly effective and safe T-cell receptor-based therapeutics to market. Based on the unparalleled T-cell immunology expertise of its founders and the unique and proprietary HuTCR platform, the Company develops fully human TCRs which are expected to set new technology standards and to provide superior safety and efficacy. The Company has demonstrated pre-clinical proof-of-concept and its lead TCR has entered clinical development. In addition, T-knife has validated the platform for over 90 undisclosed cancer targets, with several follow-on drug candidates being already in preclinical development. The Company expects to bring three additional TCRs into the clinic by 2022. T-knife is executing a two-pronged corporate growth strategy: developing an internalpipeline of best-in-class therapeutics and in parallel,establishing external partnerships by out-licensing already patentedTCRs and/or providing the Company's HuTCR mouse for unbiased discovery of new epitopes. T-knife is backed by top tier investors Versant Ventures, RA Capital, Andera Partners, and Boehringer Ingelheim Venture Fund.

Contact T-knifeT-knife GmbHElisa Kieback, CEORobert-Roessle-Str. 1013125 Berlin, GermanyTel.: +49 30 94892433info@t-knife.com

Media InquiriesakampionDr. Ludger Wess / Ines-Regina Buth Managing Partnersinfo@akampion.comTel. +49 40 88 16 59 64Tel. +49 30 23 63 27 68

Blueprint Life Science GroupJason WongJwong@bplifescience.comTel.: +1.415.375.3340 Ext. 4

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T-knife Completes 66 Million Series A Financing to Develop Next-Generation T-Cell Therapies - GlobeNewswire

New study published in the Journal of the National Cancer Institute concludes that Epi proColon is the test of choice for the millions of individuals…

BERLIN and SAN DIEGO, Aug. 10, 2020 (GLOBE NEWSWIRE) -- Epigenomics AG (Frankfurt Prime Standard: ECX, OTCQX: EPGNY; the "Company") announces that a study published by the NCI-sponsored cancer intervention and surveillance modeling network (CISNET) in the Journal of the National Cancer Institute reported that by comparing the incremental cost-effectiveness of CTC, PillCam, mtSDNA (Cologuard) and mSEPT9 (Epi proColon), the study revealed that of these CRC screening alternatives annual screening with Epi proColon is cost-effective. Annual screening with Epi proColon had an incremental cost-effectiveness ratio (ICER) of $63,253 per QALYG. Other efficient strategies were CTC screening every 5 years (ICER: $1,092 per QALYG) and annual (but not every three years) mtSDNA screening (ICER: $214,974 per QALYG), which were not optimal given the willingness-to-pay threshold ($100,000 per QALYG).

Jorge Garces, President and CSO of Epigenomics AG: CISNET microsimulation models are the gold-standard by which the American Cancer Society (ACS), United States Preventative Services Task Force (USPSTF), and other clinical societies base their guideline recommendations for CRC screening. This study supports the findings from another recent study published in Cancer Medicine and adds to the mounting evidence indicating that Epi proColon administered annually can reduce the incidence and mortality of colorectal cancer as effectively or better than other approved methods and most importantly highlights the opportunity for the Epi proColon blood test to serve as the test of choice for those currently resistant to colonoscopy and stool-based screening methods.

The JNCI publication analyzed the clinical effectiveness and performance of various screening strategies under five different scenarios:

Under all scenarios examined, annual Epi proColon was more cost-effective than Cologuard. The authors also conclude that ultimately, the best test is the one that gets done.

Greg Hamilton, CEO of Epigenomics AG: "This is an important publication as it further validates the clinical and cost-effectiveness of Epi proColon. It is also timely as we await the preliminary National Coverage Determination (NCD) from CMS later this month.

As the JNCI authors clearly state: A well-established microsimulation model demonstrates that for people who are unwilling to be screened with FIT or colonoscopy, annual screening with the mSEPT9 is the test of choice given its cost-effectiveness profile compared to CTC, PillCam and mtSDNA.

Epigenomics will hold a conference call on Tuesday August 11, 2020 at 9:30am ET (3:30pm CET) to discuss the publication in more detail and answer questions. Please use the link in the Financial Calendar on the Epigenomics.com website to join the conference call.

About Epigenomics

Epigenomics is a molecular diagnostics company focused on blood-based detection of cancers using its proprietary DNA methylation biomarker technology. The company develops and commercializes diagnostic products across multiple cancer indications with high medical need. Epigenomics' lead product, Epi proColon, is a blood-based screening test for the detection of colorectal cancer. Epi proColon has received approval from the U.S. Food and Drug Administration (FDA) and is currently marketed in the United States, Europe, and China and selected other countries. Epi proLung, a blood-based test for lung cancer detection, and HCCBloodTest, a blood-based test for liver cancer detection in cirrhoticpatients, have received CE mark in Europe.

For more information, visit http://www.epigenomics.com.

Contact:CompanyEpigenomics AG, Geneststrasse 5, 10829 Berlin, Tel +49 (0) 30 24345 0, Fax +49 (0) 30 24345 555, E-Mail: contact@epigenomics.com

Investor RelationsIR.on AG, Frederic Hilke, Tel +49 221 9140 970, E-Mail: ir@epigenomics.com24345 386, Fax +49 (0) 30 24345 555, E-Mail: ir@epigenomics.com

Epigenomics legal disclaimer

This communication expressly or implicitly contains certain forward-looking statements concerning Epigenomics AG and its business. Such statements involve certain known and unknown risks, uncertainties and other factors which could cause the actual results, financial condition, performance or achievements of Epigenomics AG to be materially different from any expected results, performance or achievements expressed or implied by such forward-looking statements. Epigenomics AG is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.

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New study published in the Journal of the National Cancer Institute concludes that Epi proColon is the test of choice for the millions of individuals...

Denmark’s 300-year-old homes of the future – BBC News

Most summer days on the Danish island of Ls, youll find Henning Johansen at work. A native islander, Johansen is a thatcher. But on Ls, a thatchers job is unlike anywhere else.

Nineteen kilometres off the north-east coast of Jutland, the island appears in Norse mythology as the home of the giant gir, and, surrounded by shipwrecks, is mentioned throughout Danish naval history. Lss most unique characteristic, however, is its houses, which are thatched with thick, heavy bundles of silvery seaweed.

Seaweed thatching began on Ls in the 17th Century and is largely unique to the island, though seaweed roofs were later reported to have been seen on Scotlands Orkney Islands. Ls, which had a thriving saltworks industry, had been deforested trees were burned to feed the salt kilns so islanders needed to find an alternative roofing material. The island itself has scant resources and, consisting largely of mud flats and sand banks, is difficult to cultivate, so instead residents looked to the sea.

People are always surprised because they're expecting it to smell or be slimy

Driftwood was salvaged from shipwrecks to be used as timber and abundant eelgrass (zostera marina) was dragged from the shore and harvested for the roofs. By the beginning of the 20th Century, most of the islands homes were roofed with seaweed. But, after a fungal disease wiped out much of the eelgrass in the 1920s, knowledge of the technique slowly vanished. Today, only 36 seaweed-roofed houses remain on the 1,800-person island.

Since 2012, Johansen has been reviving the technique as he replaces the roofs, the first in a generation to do so. It's one of the greatest things in Lss history, so its very important for the island, he told me by phone from a roof he was working on. It was women's work, he added, explaining that since the male islanders were often out at sea, the women were left to look after the farms and houses. They were alone on this island and taking care of themselves. They found a way to make these roofs, which is not seen elsewhere in the world. So, of course we are very proud of the heritage.

Around 40 to 50 women would work on the roofs together. They would gather the seaweed after autumn storms, then spread it out on a field to dry for around six months, which would remove micro algae and make it rot resistant. When building began, theyd treat the eelgrass almost as if it were wool by twisting it into large vasks (ropes) then tying them to the rafters to serve as the base. More seaweed would be piled on top and weighed down with peat: the average roof was more than 1m thick and weighed 35 to 40 tonnes. The women would take chairs up onto the completed roofs, where they would sit and scan the treeless horizon for shipwrecks (and possible salvaging opportunities) and move around, even dance, on the seaweed to compress it.

You may also be interested in: The secret to Danish happiness? Is this Europe's most livable city? Exploring Germany's northernmost island

They could make a roof in one day, said Johansen. For his team of five local thatchers, it takes around 21. Because I dont have 50 women.

But its not only for the sake of heritage that Johansen is reviving seaweed thatching. [Eelgrass] is a very interesting material, he said, because it won't burn; theres so much salt in the straw.

While eelgrass is commonly referred to as seaweed, it is actually a type of seagrass, which has long leaves and can grow up to 2m in length. Its found all around the world, though largely in the northern hemisphere. Not only is eelgrass naturally fire-, rot- and pest-resistant, it also absorbs CO2, and as it doesnt require heat to produce, is carbon neutral when harvested and used locally. Eelgrass becomes fully waterproof after about a year and has insulation properties comparable to those of mineral wool, a dense, fibrous material made from molten glass, stone or industrial waste. A roof can last hundreds of years one of islands remaining seaweed roofs dates more than 300 years for comparison, a concrete tile roof typically lasts around 50.

This combination of sustainability and heritage caught the eye of Copenhagen-based American architect Kathryn Larsen, who is currently researching how Lss traditionalseaweedthatching could be updated into a sustainable contemporary buildingmaterial around the world.

While studying at KEA Copenhagen School of Design and Technology, Larsen focused her thesis on Lss seaweed roofs, a subject with few English-language resources. It became this big mystery for me because almost all the information was in Danish, she said. I was really consumed by that for a few years: I would learn more Danish and then I would learn more about this and go back and forth. It became a real obsession.

After discovering that her school had a supply of eelgrass, which it had received from local seaweed farmers, Larsen started experimenting for fun. She developed prefabricated panels to be used on facades and roofs to act as supplementary, sustainable insulation, and installed the panels on the roof of her school to study how eelgrass reacts over time to the elements.

In 50 years all the knowledge about eelgrass disappeared

She soon realised, however, that she needed to create a more public installation. A lot of people were really sceptical, she said about the use of eelgrass. In late 2019 she started work on The Seaweed Pavilion, an installation incorporating her panels into a wooden structure in a courtyard at KEA. I wanted people to be able to sit underneath it and experience this material in person. People are always surprised because they're expecting it to smell or be slimy, so by having a more positive interaction with it, I was hoping to change that perception.

What I really wanted to drive home was that this is a really good form of natural installation, she said, explaining that with this type of installation you don't need a vapour barrier, which is not air permeable. You can use a lot of it and air will go through your building and not get blocked, so the whole construction will breathe and the air quality will be a lot higher.

Larsen wants to change the way the building industry looks at older techniques, which were not only better for our environment, by using natural renewable resources, but were also creating buildings that were a lot healthier for us. Basically, we figured it out, [then] we lost all this knowledge and [now] were building ourselves into a bigger hole where buildings are getting worse and worse in air quality.

Because eelgrass grows worldwide, she sees a huge global potential for it to be used as a sustainable building material, as long as its harvested and used locally.

The eelgrass that she used in The Seaweed Pavilion was harvested and prepared by Kurt Schierup, who uses the same farming and drying technique as those of Lss women, albeit with a machine rather than by hand. Although he established his eelgrass harvesting business Mn Tang in 2016, Schierup has been doing this work since his childhood in the 1950s on the Danish island of Tr, when eelgrass was exported internationally for use in upholstery, insulation and mattresses. Its a nugget of history that underscores how common a material eelgrass used to be.

When I was a kid, 50 years ago, said Johansen, everybody was sleeping on eelgrass in Denmark. But then then the plastic came, very cheap. So, in 50 years all the knowledge about eelgrass disappeared.

On Ls, Johansen still has 10 more roofs to replace. Its been a long project, but one that he says he doesnt want to finish because it's much easier to tell you the history when you come and see me repair old houses. Visitors to Ls are invited to watch him at work on weekdays during the summer where they can see first-hand the way it works, the material, and how interesting it is.

Eelgrass is part of the worlds heritage, he said. You can come to Ls and I can show you your own history from your country because it was once commonly used around the world everywhere from the Dutch Wadden Sea where it was used for building sea walls to New England where homes were insulated with Cabots Quilt, a thermal and sound insulator made of dried eelgrass.

It has a big history, which was very quickly forgotten and now I'm starting to tell it again. It's very easy to tell when you stand beside a very old roof, looking at it, and people say, what a funny material.

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Denmark's 300-year-old homes of the future - BBC News