Is Entera Bio Ltd (ENTX) a Winner in the Biotechnology Industry? – InvestorsObserver

The 61 rating InvestorsObserver gives to Entera Bio Ltd (ENTX) stock puts it near the top of the Biotechnology industry. In addition to scoring higher than 69 percent of stocks in the Biotechnology industry, ENTXs 61 overall rating means the stock scores better than 61 percent of all stocks.

Trying to find the best stocks can be a daunting task. There are a wide variety of ways to analyze stocks in order to determine which ones are performing the strongest. Investors Observer makes the entire process easier by using percentile rankings that allows you to easily find the stocks who have the strongest evaluations by analysts.

These scores are not only easy to understand, but it is easy to compare stocks to each other. You can find the best stock in an industry, or look for the sector that has the highest average score. The overall score is a combination of technical and fundamental factors that serves as a good starting point when analyzing a stock. Traders and investors with different goals may have different goals and will want to consider other factors than just the headline number before making any investment decisions.

Entera Bio Ltd (ENTX) stock is trading at $1.90 as of 1:11 PM on Wednesday, Feb 10, a decline of -$0.03, or -1.55% from the previous closing price of $1.93. The stock has traded between $1.82 and $2.09 so far today. Volume today is 475,843 compared to average volume of 604,868.

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Is Entera Bio Ltd (ENTX) a Winner in the Biotechnology Industry? - InvestorsObserver

Where Does Polarityte Inc (PTE) Stock Fall in the Biotechnology Field? – InvestorsObserver

A rating of 33 puts Polarityte Inc (PTE) near the middle of the Biotechnology industry according to InvestorsObserver. Polarityte Inc's score of 33 means it scores higher than 33% of stocks in the industry. Polarityte Inc also received an overall rating of 39, putting it above 39% of all stocks. Biotechnology is ranked 23 out of the 148 industries.

Analyzing stocks can be hard. There are tons of numbers and ratios, and it can be hard to remember what they all mean and what counts as good for a given value. InvestorsObserver ranks stocks on eight different metrics. We percentile rank most of our scores to make it easy for investors to understand. A score of 39 means the stock is more attractive than 39 percent of stocks.

These rankings allows you to easily compare stocks and view what the strengths and weaknesses are of a given company. This lets you find the stocks with the best short and long term growth prospects in a matter of seconds. The combined score incorporates technical and fundamental analysis in order to give a comprehensive overview of a stocks performance. Investors who then want to focus on analysts rankings or valuations are able to see the separate scores for each section.

Polarityte Inc (PTE) stock is trading at $1.27 as of 1:29 PM on Monday, Feb 8, a gain of $0.12, or 9.91% from the previous closing price of $1.16. The stock has traded between $1.19 and $1.32 so far today. Volume today is 9,264,669 compared to average volume of 12,177,284.

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Where Does Polarityte Inc (PTE) Stock Fall in the Biotechnology Field? - InvestorsObserver

New Machine Learning Theory Raises Questions About the Very Nature of Science – SciTechDaily

A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.

The algorithm, devised by a scientist at the U.S. Department of Energys (DOE) Princeton Plasma Physics Laboratory (PPPL), applies machine learning, the form of artificial intelligence (AI) that learns from experience, to develop the predictions. Usually in physics, you make observations, create a theory based on those observations, and then use that theory to predict new observations, said PPPL physicist Hong Qin, author of a paper detailing the concept in Scientific Reports. What Im doing is replacing this process with a type of black box that can produce accurate predictions without using a traditional theory or law.

Qin (pronounced Chin) created a computer program into which he fed data from past observations of the orbits of Mercury, Venus, Earth, Mars, Jupiter, and the dwarf planet Ceres. This program, along with an additional program known as a serving algorithm, then made accurate predictions of the orbits of other planets in the solar system without using Newtons laws of motion and gravitation. Essentially, I bypassed all the fundamental ingredients of physics. I go directly from data to data, Qin said. There is no law of physics in the middle.

PPPL physicist Hong Qin in front of images of planetary orbits and computer code. Credit: Elle Starkman / PPPL Office of Communications

The program does not happen upon accurate predictions by accident. Hong taught the program the underlying principle used by nature to determine the dynamics of any physical system, said Joshua Burby, a physicist at the DOEs Los Alamos National Laboratory who earned his Ph.D. at Princeton under Qins mentorship. The payoff is that the network learns the laws of planetary motion after witnessing very few training examples. In other words, his code really learns the laws of physics.

Machine learning is what makes computer programs like Google Translate possible. Google Translate sifts through a vast amount of information to determine how frequently one word in one language has been translated into a word in the other language. In this way, the program can make an accurate translation without actually learning either language.

The process also appears in philosophical thought experiments like John Searles Chinese Room. In that scenario, a person who did not know Chinese could nevertheless translate a Chinese sentence into English or any other language by using a set of instructions, or rules, that would substitute for understanding. The thought experiment raises questions about what, at root, it means to understand anything at all, and whether understanding implies that something else is happening in the mind besides following rules.

Qin was inspired in part by Oxford philosopher Nick Bostroms philosophical thought experiment that the universe is a computer simulation. If that were true, then fundamental physical laws should reveal that the universe consists of individual chunks of space-time, like pixels in a video game. If we live in a simulation, our world has to be discrete, Qin said. The black box technique Qin devised does not require that physicists believe the simulation conjecture literally, though it builds on this idea to create a program that makes accurate physical predictions.

The resulting pixelated view of the world, akin to what is portrayed in the movie The Matrix, is known as a discrete field theory, which views the universe as composed of individual bits and differs from the theories that people normally create. While scientists typically devise overarching concepts of how the physical world behaves, computers just assemble a collection of data points.

Qin and Eric Palmerduca, a graduate student in the Princeton University Program in Plasma Physics, are now developing ways to use discrete field theories to predict the behavior of particles of plasma in fusion experiments conducted by scientists around the world. The most widely used fusion facilities are doughnut-shaped tokamaks that confine the plasma in powerful magnetic fields.

Fusion, the power that drives the sun and stars, combines light elements in the form of plasma the hot, charged state of matter composed of free electrons and atomic nuclei that represents 99% of the visible universe to generate massive amounts of energy. Scientists are seeking to replicate fusion on Earth for a virtually inexhaustible supply of power to generate electricity.

In a magnetic fusion device, the dynamics of plasmas are complexand multi-scale, and the effective governing laws or computational models for a particular physical process that we are interested in are not always clear, Qin said. In these scenarios, we can apply the machine learning technique that I developed to create a discrete field theory and then apply this discrete field theory to understand and predict new experimental observations.

This process opens up questions about the nature of science itself. Dont scientists want to develop physics theories that explain the world, instead of simply amassing data? Arent theories fundamental to physics and necessary to explain and understand phenomena?

I would argue that the ultimate goal of any scientist is prediction, Qin said. You might not necessarily need a law. For example, if I can perfectly predict a planetary orbit, I dont need to know Newtons laws of gravitation and motion. You could argue that by doing so you would understand less than if you knew Newtons laws. In a sense, that is correct. But from a practical point of view, making accurate predictions is not doing anything less.

Machine learning could also open up possibilities for more research. It significantly broadens the scope of problems that you can tackle because all you need to get going is data, Palmerduca said.

The technique could also lead to the development of a traditional physical theory. While in some sense this method precludes the need of such a theory, it can also be viewed as a path toward one, Palmerduca said. When youre trying to deduce a theory, youd like to have as much data at your disposal as possible. If youre given some data, you can use machine learning to fill in gaps in that data or otherwise expand the data set.

Reference: Machine learning and serving of discrete field theories by Hong Qin, 9 November 2020, Scientific Reports.DOI: 10.1038/s41598-020-76301-0

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Using AI and Machine Learning will increase in horti industry – hortidaily.com

The expectation is that in 2021, artificial intelligence and machine learning technologies will continue to become more mainstream. Businesses that havent traditionally viewed themselves as candidates for AI applications will embrace these technologies.

A great story of machine learning being used in an industry that is not known for its technology investments is the story of Makoto Koike. Using Googles TensorFlow, Makoto initially developed a cucumber sorting system using pictures that he took of the cucumbers. With that small step, a machine learning cucumber sorting system was born.

Getting started with AI and machine learning is becoming increasingly accessible for organizations of all sizes. Technology-as-a-service companies including Microsoft, AWS and Google all have offerings that will get most organizations started on their AI and machine learning journeys. These technologies can be used to automate and streamline manual business processes that have historically been resource-intensive.

An article on forbes.com claims that, as business leaders continue to refine their processes to support the new normal of the Covid-19 pandemic, they should be considering where these technologies might help reduce manual, resource-intensive or paper-based processes. Any manual process should be fair game for review for automation possibilities.

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Machine Learning in Medicine Market 2021 to Perceive Biggest Trend and Opportunity by 2028 KSU | The Sentinel Newspaper – KSU | The Sentinel…

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Machine Learning in Medicine Helps in Avoiding Delays in Processing, Turn-Around-Time, & Redundant Operational Costs. It is Efficient in the Management of Entire Claim Administrative Processes, Such as Adjudication, Pricing, Authorizations, & Analytics. It Provides Real-Time Claim Processing With No Wait Time for Batch Processes

Market Drivers The Rise in the Number ofPatients Opting For Medical Insurance & Increasein Premium Costs The Surge in the Geriatric Population with Chronic Diseases

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Restraints High Cost Linked With Machine Learning in Medicine

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The head of JPMorgan’s machine learning platform explained what it’s like to work there – eFinancialCareers

For the past few years, JPMorgan has been busy building out its machine learning capability underDaryush Laqab, its San Francisco-based head of AI platform product management, who was hired from Google in 2019. Last time we looked, the bank seemed to be paying salaries of $160-$170k to new joiners onLaqab's team.

If that sounds appealing, you might want to watch the video below so that you know what you're getting into. Recorded at the AWS re:Invent conferencein December, it's only just made it to you YouTube. The video is flagged as a day in the life of JPMorgan's machine learning data scientists, butLaqab arguably does a better of job of highlighting some of the constraints data professionals at allbanks have to work under.

"There are some barriers to smooth data science at JPMorgan," he explains - a bank is not the same as a large technology firm.

For example, data scientists at JPMorgan have to check data is authorized for use, saysLaqab: "They need to go to a process to log that use and make surethat they have the adequate approvals for that intent in terms of use."

They also have to deal with the legacy infrastructureissue: "We are a large organization, we have a lot of legacy infrastructure," says Laqab. "Like any other legacy infrastructure, it is built over time,it is patched over time. These are tightly integrated,so moving part or all of that infrastructure to public cloud,replacing rule base engines with AI/ML based engines.All of that takes time and brings inertia to the innovation."

JPMorgan's size and complexity is another source of inertia as multiple business lines in multiple regulated entities in different regulated environments need to be considered. "Making sure that those regulatory obligationsare taken care of, again, slows down data science at times," saysLaqab.

And then there are more specific regulations such as those concerning model governance. At JPMorgan, a machine learning model can't go straight into a production environment."It needs to go through a model review and a model governance process," says Laqab. "- To make sure we have another set of eyes that looksat how that model was created, how that model was developed..." And then there are software governance issues too.

Despite all these hindrances, JPMorgan has already productionized AI models and built an 'Omni AI ecosystem,'which Laqab heads,to help employees to identify and ingest minimum viable data so that they canbuild models faster. Laqab saysthe bank saved $150m in expenses in 2019 as a result. JPMorgan's AI researchers are now working on everything fromFAQ bots and chat bots, to NLP search models for the bank'sown content, pattern recognition in equities markets and email processing. - The breadth of work on offer is considerable. "We play in every market that is out there," saysLaqab,

The bank has also learned that the best way to structure its AI team is to split people into data scientists who train and create models and machine learning engineers who operationalize models, saysLaqab. - Before you apply, you might want to consider which you'd rather be.

Photo by NeONBRAND on Unsplash

Have a confidential story, tip, or comment youd like to share? Contact:sbutcher@efinancialcareers.comin the first instance. Whatsapp/Signal/Telegram also available. Bear with us if you leave a comment at the bottom of this article: all our comments are moderated by human beings. Sometimes these humans might be asleep, or away from their desks, so it may take a while for your comment to appear. Eventually it will unless its offensive or libelous (in which case it wont.)

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Mental health diagnoses and the role of machine learning – Health Europa

It is common for patients with psychosis or depression to experience symptoms of both conditions which has meant that traditionally, mental health diagnoses have been given for a primary illness with secondary symptoms of the other.

Making an accurate diagnosis often poses difficulties to mental health clinicians and diagnoses often do not accurately reflect the complexity of individual experience or neurobiology. For example, a patient being diagnosed with psychosis will often have depression regarded as a secondary condition, with more focus on the psychosis symptoms, such as hallucinations or delusions; this has implications on treatment decisions for patients.

A team at the University of Birminghams Institute for Mental Health and Centre for Human Brain Health, along with researchers at the European Union-funded PRONIA consortium, explored the possibility of using machine learning to create extremely accurate models of pure forms of both illnesses and using these models to investigate the diagnostic accuracy of a cohort of patients with mixed symptoms. The results of this study have been published in Schizophrenia Bulletin.

Paris Alexandros Lalousis, lead author, explains that the majority of patients have co-morbidities, so people with psychosis also have depressive symptoms and vice versa That presents a big challenge for clinicians in terms of diagnosing and then delivering treatments that are designed for patients without co-morbidity. Its not that patients are misdiagnosed, but the current diagnostic categories we have do not accurately reflect the clinical and neurobiological reality.

The researchers analysed questionnaire responses and detailed clinical interviews, as well as data from structural magnetic resonance imaging from a cohort of 300 patients taking part in the study. From this group of patients, they identified small subgroups of patients, who could be classified as suffering either from psychosis without any symptoms of depression, or from depression without any psychotic symptoms.

With the goal of developing a precise disease profile for each patient and testing it against their diagnosis to see how accurate it was, the research team was able to identify machine learning models of pure depression, and pure psychosis by using the collected data. They were then able to use machine learning methods to apply these models to patients with symptoms of both illnesses.

The team discovered that patients with depression as a primary illness were more likely to have accurate mental health diagnoses, whereas patients with psychosis with depression had symptoms which most frequently leaned towards the depression dimension. This may suggest that depression plays a greater part in the illness than had previously been thought.

Lalousis added: There is a pressing need for better treatments for psychosis and depression, conditions which constitute a major mental health challenge worldwide. Our study highlights the need for clinicians to understand better the complex neurobiology of these conditions, and the role of co-morbid symptoms; in particular considering carefully the role that depression is playing in the illness.

In this study we have shown how using sophisticated machine learning algorithms, which take into account clinical, neurocognitive, and neurobiological factors can aid our understanding of the complexity of mental illness. In the future, we think machine learning could become a critical tool for accurate diagnosis. We have a real opportunity to develop data-driven diagnostic methods this is an area in which mental health is keeping pace with physical health and its really important that we keep up that momentum.

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Mental health diagnoses and the role of machine learning - Health Europa

5 Ways the IoT and Machine Learning Improve Operations – BOSS Magazine

Reading Time: 4 minutes

By Emily Newton

The Internet of Things (IoT) and machine learning are two of the most disruptive technologies in business today. Separately, both of these innovations can bring remarkable benefits to any company. Together, they can transform your business entirely.

The intersection of IoT devices and machine learning is a natural progression. Machine learning needs large pools of relevant data to work at its best, and the IoT can supply it. As adoption of both soars, companies should start using them in conjunction.

Here are five ways the IoT and machine learning can improve operations in any business.

Around 25% of businesses today use IoT devices, and this figure will keep climbing. As companies implement more of these sensors, they add places where they can gather data. Machine learning algorithms can then analyze this data to find inefficiencies in the workplace.

Looking at various workplace data, a machine learning program could see where a company spends an unusually high amount of time. It could then suggest a new workflow that would reduce the effort employees expend in that area. Business leaders may not have ever realized this was a problem area without machine learning.

Machine learning programs are skilled at making connections between data points that humans may miss. They can also make predictions 20 times earlier than traditional tools and do so with more accuracy. With IoT devices feeding them more data, theyll only become faster and more accurate.

Machine learning and the IoT can also automate routine tasks. Business process automation (BPA) leverages AI to handle a range of administrative tasks, so workers dont have to. As IoT devices feed more data into these programs, they become even more effective.

Over time, technology like this has contributed to a 40% productivity increase in some industries. Automating and streamlining tasks like scheduling and record-keeping frees employees to focus on other, value-adding work. BPAs potential doesnt stop there, either.

BPA can automate more than straightforward data manipulation tasks. It can talk to customers, plan and schedule events, run marketing campaigns and more. With more comprehensive IoT implementation, it would have access to more areas, becoming even more versatile.

One of the most promising areas for IoT implementation is in the supply chain. IoT sensors in vehicles or shipping containers can provide companies with critical information like real-time location data or product quality. This data alone improves supply chain visibility, but paired with machine learning, it could transform your business.

Machine learning programs can take this real-time data from IoT sensors and put it into action. It could predict possible disruptions and warn workers so they can respond accordingly. These predictive analytics could save companies the all-too-familiar headache of supply chain delays.

UPS Orion tool is the gold standard for what machine learning can do for supply chains. The system has saved the shipping giant 10 million gallons of fuel a year by adjusting routes on the fly based on traffic and weather data.

If a company cant understand the vulnerabilities it faces, business leaders cant make fully informed decisions. IoT devices can provide the data businesses need to get a better understanding of these risks. Machine learning can take it a step further and find points of concern in this data that humans could miss.

IoT devices can gather data about the workplace or customers that machine learning programs then process. For example, Progressive has made more than 1.7 trillion observations about its customers driving habits through Snapshot, an IoT tracking device. These analytics help the company adjust clients insurance rates based on the dangers their driving presents.

Business risks arent the only hazards the Internet of Things and machine learning can predict. IoT air quality sensors could alert businesses when to change HVAC filters to protect employee health. Similarly, machine learning cybersecurity programs could sense when hackers are trying to infiltrate a companys network.

Another way the IoT and machine learning could transform your business is by eliminating waste. Data from IoT sensors can reveal where the company could be using more resources than it needs. Machine learning algorithms can then analyze this data to suggest ways to improve.

One of the most common culprits of waste in businesses is energy. Thanks to various inefficiencies, 68% of power in America ends up wasted. IoT sensors can measure where this waste is happening, and with machine learning, adjust to stop it.

Machine learning algorithms in conjunction with IoT devices could restrict energy use, so processes only use what they need. Alternatively, they could suggest new workflows or procedures that would be less wasteful. While many of these steps may seem small, they add up to substantial savings.

Without the IoT and machine learning, businesses cant reach their full potential. These technologies enable savings companies couldnt achieve otherwise. As they advance, theyll only become more effective.

The Internet of Things and machine learning are reshaping the business world. Those that dont take advantage of them now could soon fall behind.

Emily Newton is the Editor-in-Chief of Revolutionized, a magazine exploring how innovations change our world. She has over 3 years experience writing articles in the industrial and tech sectors.

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Parascript and SFORCE Partner to Leverage Machine Learning Eliminating Barriers to Automation – GlobeNewswire

Longmont, CO, Feb. 09, 2021 (GLOBE NEWSWIRE) -- Parascript, which provides document analysis software processing for over 100 billion documents each year, announced today the Smart-Force (SFORCE) and Parascript partnership to provide a digital workforce that augments operations by combining cognitive Robotic Process Automation (RPA) technology with customers current investments for high scalability, improved accuracy and an enhanced customer experience in Mexico and across Latin America.

Partnering with Smart-Force means we get to help solve some of the greatest digital transformation challenges in Intelligent Document Processing instead of just the low-hanging fruit. Smart-Force is forward-thinking and committed to futureproofing their customers processes, even with hard-to-automate, unstructured documents where the application of techniques such as NLP is often required, said Greg Council, Vice President of Marketing and Product Management at Parascript. Smart-Force leverages bots to genuinely collaborate with staff so that the staff no longer have to spend all their time on finding information, and performing data entry and verification, even for the most complex multi-page documents that you see in lending and insurance.

Smart-Force specializes in digital transformation by identifying processes in need of automation and implementing RPA to improve those processes so that they run faster without errors. SFORCE routinely enables increased productivity, improves customer satisfaction, and improves staff morale through leveraging the technology of Automation Anywhere, Inc., a leader in RPA, and now Parascript Intelligent Document Processing.

As intelligent automation technology becomes more ubiquitous, it has created opportunities for organizations to ignite their staff towards new ways of working freeing up time from the manual tasks to focus on creative, strategic projects, what humans are meant to do, said Griffin Pickard, Director of Technology Alliance Program at Automation Anywhere. By creating an alliance with Parascript and Smart-Force, we have enabled customers to advance their automation strategy by leveraging ML and accelerate end-to-end business processes.

Our focus at SFORCE is on RPA with Machine Learning to transform how customers are doing things. We dont replace; we compliment the technology investments of our customers to improve how they are working, said Alejandro Castrejn, Founder of SFORCE. We make processes faster, more efficient and augment their staff capabilities. In terms of RPA processes that focus on complex document-based information, we havent seen anything approach what Parascript can do.

We found that Parascript does a lot more than other IDP providers. Our customers need a point-to-point RPA solution. Where Parascript software becomes essential is in extracting and verifying data from complex documents such as legal contracts. Manual data entry and review produces a lot of errors and takes time, said Barbara Mair, Partner at SFORCE. Using Parascript software, we can significantly accelerate contract execution, customer onboarding and many other processes without introducing errors.

The ability to process simple to very complex documents such as unstructured contracts and policies within RPA leveraging FormXtra.AI represents real opportunities for digital transformation across the enterprise. FormXtra.AI and its Smart Learning allow for easy configuration, and by training the systems on client-specific data, the automation is rapidly deployed with the ability to adapt to new information introduced in dynamic production environments.

About SFORCE, S.A. de C.V.

SFORCE offers services that allow customers to adopt digital transformation at whatever pace the organization needs. SFORCE is dedicated to helping customers get the most out of their existing investments in technology. SFORCE provides point-to-point solutions that combine existing technologies with next generation technology, which allows customers to transform operations, dramatically increase efficiency as well as automate manual tasks that are rote and error-prone, so that staff can focus on high-value activities that significantly increase revenue. From exploring process automation to planning a disruptive change that ensures high levels of automation, our team of specialists helps design and implement the automation of processes for digital transformation. Visit SFORCE.

About Parascript

Parascript software, driven by data science and powered by machine learning, configures and optimizes itself to automate simple and complex document-oriented tasks such as document classification, document separation and data entry for payments, lending and AP/AR processes. Every year, over 100 billion documents involved in banking, insurance, and government are processed by Parascript software. Parascript offers its technology both as software products and as software-enabled services to our partners. Visit Parascript.

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There Is No Silver Bullet Machine Learning Solution – Analytics India Magazine

A recommendation engine is a class of machine learning algorithm that suggests products, services, information to users based on analysis of data. Robust recommendation systems are the key differentiator in the operations of big companies like Netflix, Amazon, and Byte Dance (TikTok parent) etc.

Alok Menthe, Data Scientist at Ericsson, gave an informative talk on building Custom recommendation engines for real-world problems at the Machine Learning Developers Summit (MLDS) 2021. Whenever a niche business problem comes in, it has complicated intertwined ways of working. Standard ML techniques may be inadequate and might not serve the customers purpose. That is where the need for a custom-made engine comes in. We were also faced with such a problem with our service network unit at Ericsson, he said.

Menthe said the unit wanted to implement a recommendation system to provide suggestions for assignment workflow a model to delegate the incoming projects to the most appropriate team or resource pool

Credit: Alok Menthe

There were three kinds of data available:

Pool definition data: It relates to the composition of a particular resource poolthe number of people, their competence, and other metadata.

Historical demand data: This kind of data helps in establishing a relationship between the feature demand and a particular resource pool.

Transactional data: It is used for operational purposes.

Menthe said building a custom recommendation system in this context involves the following steps:

Credit: Alok Menthe

After building our model, the most difficult part was feature engineering, which is imperative for building an efficient system. Among the two major modules classification and clusteringwe faced challenges with respect to the latter. We had only categorical information making it difficult to find distances within the objects. We went out of the box to see if we can do any special encoding for the data. We adopted data encoding techniques and frequency-based encoding in this regard, said Menthe.

Clustering module: For this module, initially the team implemented K-modes and agglomerative. However, the results were far from perfect, prompting the team to consider the good-old K-means algorithm. For evaluation purposes, it was done manually with the help of subject matter experts.

The final model had 700 resource pools condensed to 15 pool clusters.

Classification module: For this module, three kinds of algorithm iterations were usedRandom Forest, Artificial Neural Network, XGBoost. Classification accuracy was used as an evaluation metric. Finally, upon 50,00,000 training records, this module demonstrated an accuracy of 71 percent.

Menthe said this recommendation model is monitored on a fortnightly basis by validating the suggested pools against the allocated pools for project demands:

The model has proved to be successful on three fronts:

Menthe summarised the three major takeaways from this project in his concluding remarks: the need to preserve business nuances in ML solutions; thinking beyond standard ML approaches; and understanding that there is no silver bullet ML solution.

I am a journalist with a postgraduate degree in computer network engineering. When not reading or writing, one can find me doodling away to my hearts content.

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There Is No Silver Bullet Machine Learning Solution - Analytics India Magazine

The Collision of AI’s Machine Learning and Manipulation: Deepfake Litigation Risks to Companies from a Product Liability, Privacy, and Cyber…

AI and machine-learning advances have made it possible to produce fake videos and photos that seem real, commonly known as deepfakes. Deepfake content is exploding in popularity.[i] In Star Wars: The Rise of Skywalker, for instance, a visage of Carrie Fischer graced the screen, generated through artificial intelligence models trained on historic footage. Using thousands of hours of interviews with Salvador Dali, the Dali Museum of Florida created an interactive exhibit featuring the artist.[ii] For Game of Thrones fans miffed over plot holes in the season finale, Jon Snow can be seen profusely apologizing in a deepfake video that looks all too real.[iii]

Deepfake technologyhow does it work? From a technical perspective, deepfakes (also referred to as synthetic media) are made from artificial intelligence and machine-learning models trained on data sets of real photos or videos. These trained algorithms then produce altered media that looks and sounds just like the real deal. Behind the scenes, generative adversarial networks (GANs) power deepfake creation.[iv] With GANs, two AI algorithms are pitted against one another: one creates the forgery while the other tries to detect it, teaching itself along the way. The more data is fed into GANs, the more believable the deepfake will be. Researchers at academic institutions such as MIT, Carnegie Mellon, and Stanford University, as well as large Fortune 500 corporations, are experimenting with deepfake technology.[v] Yet deepfakes are not solely the province of technical universities or AI product development groups. Anybody with an internet connection can download publicly available deepfake software and crank out content.[vi]

Deepfake risks and abuse. Deepfakes are not always fun and games. Deepfake videos can phish employees to reveal credentials or confidential information, e-commerce platforms may face deepfake circumvention of authentication technologies for purposes of fraud, and intellectual property owners may find their properties featured in videos without authorization. For consumer-facing online platforms, certain actors may attempt to leverage deepfakes to spread misinformation. Another well-documented and unfortunate abuse of deepfake technology is for purposes of revenge pornography.[vii]

In response, online platforms and consumer-facing companies have begun enforcing limitations on the use of deepfake media. Twitter, for example, announced a new policy within the last year to prohibit users from sharing synthetic or manipulated media that are likely to cause harm. Per its policy, Twitter reserves the right to apply a label or warning to Tweets containing such media.[viii] Reddit also updated its policies to ban content that impersonates individuals or entities in a misleading or deceptive manner (while still permitting satire and parody).[ix] Others have followed. Yet social media and online platforms are not the only industries concerned with deepfakes. Companies across industry sectors, including financial and healthcare, face growing rates of identity theft and imposter scams in government services, online shopping, and credit bureaus as deepfake media proliferates.[x]

Deepfake legal claims and litigation risks. We are seeing legal claims and litigation relating to deepfakes across multiple vectors:

1. Claims brought by those who object to their appearance in deepfakes. Victims of deepfake media sometimes pursue tort law claims for false light, invasion of privacy, defamation, and intentional infliction of emotional distress. At a high level, these overlapping tort claims typically require the person harmed by the deepfake to prove that the deepfake creator published something that gives a false or misleading impression of the subject person in a manner that (a) damages the subjects reputation, (b) would be highly offensive to a reasonable person, or (c) causes mental anguish or suffering. As more companies begin to implement countermeasures, the lack of sufficient safeguards against misleading deepfakes may give rise to a negligence claim. Companies could face negligence claims for failure to detect deepfakes, either alongside the deepfake creator or alone if the creator is unknown or unreachable.

2. Product liability issues related to deepfakes on platforms. Section 230 of the Communications Decency Act shields online companies from claims arising from user content published on the companys platform or website. The law typically bars defamation and similar tort claims. But e-commerce companies can also use Section 230 to dismiss product liability and breach of warranty claims where the underlying allegations focus on a third-party sellers representation (such as a product description or express warranty). Businesses sued for product liability or other tort claims should look to assert Section 230 immunity as a defense where the alleged harm stems from a deepfake video posted by a user. Note, however, the immunity may be lost where the host platform performs editorial functions with respect to the published content at issue. As a result, it is important for businesses to implement clear policies addressing harmful deepfake videos that broadly apply to all users and avoid wading into influencing a specific users content.

3. Claims from consumers who suffer account compromise due to deepfakes. Multiple claims may arise where cyber criminals leverage deepfakes to compromise consumer credentials for various financial, online service, or other accounts. The California Consumer Privacy Act (CCPA), for instance, provides consumers with a private right of action to bring claims against businesses that violate the duty to implement and maintain reasonable security procedures and practices.[xi] Plaintiffs may also bring claims for negligence, invasion of privacy claims under common law or certain state constitutions, and state unfair competition or false advertising statutes (e.g., Californias Unfair Competition Law and Consumers Legal Remedies Act).

4. Claims available to platforms enforcing Terms of Use prohibitions of certain kinds of deepfakes. Online content platforms may be able to enforce prohibitions on abusive or malicious deepfakes through claims involving breach of contract and potential violations of the Computer Fraud and Abuse Act (CFAA), among others. These claims may turn on nuanced issues around what conduct constitutes exceeding authorized access under the CFAA, or Terms of Use assent and enforceability of particular provisions.

5. Claims related to state statutes limiting deepfakes. As malicious deepfakes proliferate, several states such as California, Texas, and Virginia have enacted statutes prohibiting their use to interfere with elections or criminalizing pornographic deepfake revenge video distribution.[xii] More such statutes are pending.

Practical tips for companies managing deepfake risks. While every company and situation is unique, companies dealing with deepfakes on their platforms, or as a potential threat vector for information security attacks, can consider several practical avenues to manage risks:

While the future of deepfakes is uncertain, it is apparent that the underlying AI and machine-learning technology is very real and here to staypresenting both risks and opportunity for organizations across industries.

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The Collision of AI's Machine Learning and Manipulation: Deepfake Litigation Risks to Companies from a Product Liability, Privacy, and Cyber...

Postdoctoral Research Associate in Digital Humanities and Machine Learning job with DURHAM UNIVERSITY | 246392 – Times Higher Education (THE)

Department of Computer Science

Grade 7:-33,797 - 40,322 per annumFixed Term-Full TimeContract Duration:7 monthsContracted Hours per Week:35Closing Date:13-Mar-2021, 7:59:00 AM

Durham University

Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social Sciences. We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives.

The University sits in a beautiful historic city where it shares ownership of a UNESCO World Heritage Site with Durham Cathedral, the greatest Romanesque building in Western Europe. A collegiate University, Durham recruits outstanding students from across the world and offers an unmatched wider student experience.

Less than 3 hours north of London, and an hour and a half south of Edinburgh, County Durham is a region steeped in history and natural beauty. The Durham Dales, including the North Pennines Area of Outstanding Natural Beauty, are home to breathtaking scenery and attractions. Durham offers an excellent choice of city, suburban and rural residential locations. The University provides a range of benefits including pension and childcare benefits and the Universitys Relocation Manager can assist with potential schooling requirements.

Durham University seeks to promote and maintain an inclusive and supportive environment for work and study that assists all members of our University community to reach their full potential. Diversity brings strength and we welcome applications from across the international, national and regional communities that we work with and serve.

The Department

The Department of Computer Science is rapidly expanding. A new building for the department (joint with Mathematical Sciences) has recently opened to house the expanded Department. The current Department has research strengths in (1) algorithms and complexity, (2) computer vision, imaging, and visualisation and (3) high-performance computing, cloud computing, and simulation. We work closely with industry and government departments. Research-led teaching is a key strength of the Department, which came 5th in the Complete University Guide. The department offers BSc and MEng undergraduate degrees and is currently redeveloping its interdisciplinary taught postgraduate degrees. The size of its student cohort has more than trebled in the past five years. The Department has an exceptionally strong External Advisory Board that provides strategic support for developing research and education, consisting of high-profile industrialists and academics.Computer Science is one of the very best UK Computer Science Departments with an outstanding reputation for excellence in teaching, research and employability of our students.

The Role

Postdoctoral Research Associate to work on the AHRC-funded project Visitor Interaction and Machine Curation in the Virtual Liverpool Biennial.

The project looks at virtual art exhibitions that are curated by machines, or even co-curated by humans and machines; and how audiences interact with these exhibitions in the era of online art shows. The project is in close collaboration with the 2020 (now 2021) Liverpool Biennial (http://biennial.com/). The role of the post holder is, along with the PI Leonardo Impett, to implement different strategies of user-machine interaction for virtual art exhibits; and to investigate the interaction behaviour of different types of users with such systems.

Responsibilities:

This post is fixed term until31 August 2021 as the research project is time limited and will end on 31 August 2021.

The post-holder is employed to work on research/a research project which will be led by another colleague. Whilst this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation and development of research protocols.

Successful applicants will, ideally, be in post byFebruary 2021.

How to Apply

For informal enquiries please contactDr Leonardo Impett (leonardo.l.impett@durham.ac.uk).All enquiries will be treated in the strictest confidence.

We prefer to receive applications online via the Durham University Vacancies Site.https://www.dur.ac.uk/jobs/. As part of the application process, you should provide details of 3 (preferably academic/research) referees and the details of your current line manager so that we may seek an employment reference.

Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic posts in the University.We are committed to equality: if for any reason you have taken a career break or periods of leave that may have impacted on your career path, such as maternity, adoption or parental leave, you may wish to disclose this in your application.The selection committee will recognise that this may have reduced the quantity of your research accordingly.

What to Submit

All applicants are asked to submit:

The Requirements

Essential:

Qualifications

Experience

Skills

Desirable:

Experience

Skills

DBS Requirement:Not Applicable.

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Postdoctoral Research Associate in Digital Humanities and Machine Learning job with DURHAM UNIVERSITY | 246392 - Times Higher Education (THE)

LPSS career center expands medical career course options; new course opening this fall – The Advocate

The novel coronavirus pandemic has increased demand for certified medical providers in key areas, and the Lafayette Parish School Systems W.D. and Mary Baker Smith Career Center is expanding its medical certification offerings to help students capitalize on job opportunities post-graduation.

Principal Holly Boffy said the career center will begin offering a new medical assistant program in the fall, in addition to an EMT program launched this August and an overhauled nursing program. The nursing program, originally a certified nursing assistant class, has been swapped to a patient care technician class, she said.

The transition was in the works before Boffy, whos been with the center for roughly seven months, took over, but the principal said one reason for the switch is that the patient care technician and medical assistant courses together allow more students the opportunity to earn medical credentials.

Previously, the EMT course was exclusive to Lafayette High Schools Health Careers Magnet Academy; the Lafayette High course will remain in place, Boffy said.

Launching a program revamp during the pandemic is ambitious, but Boffy said it was important to the career center and the district that current juniors and seniors dont miss out on career advancement while job opportunities exist. The goal is to provide as many students with options for advancement as possible, she said.

While a lot of students when they graduate from high school plan on going to college, some go to college and find theyre not successful or some of them need to have a job that pays more than minimum wage to even help them further their education. I think its good for all of our students to have opportunities to get industry based credentials so they graduate from school, can get that good first job and begin to build a career, the principal said.

Each course is open to juniors and seniors. The courses are limited because of age restrictions set on the certification exams, Boffy said. In addition to potential certification, the courses also count for three credit hours and will count toward graduation requirements.

The Lafayette Parish School System is transitioning hybrid students to campuses for in-person learning shortly after the Mardi Gras break, acc

This year, there are six students enrolled in the EMT course and 45 students in the patient care technician courses, Boffy said. The first months of the new courses have been about adjusting the curricula, gathering equipment and materials, registering with necessary state boards and seeking guidance from partners, like Acadian Ambulance and the St. Landry Parish School District, which itself made the switch from the CNA to patient care technician and medical assistant programs, she said.

So far, the student response has been positive, the principal said.

All of the juniors that we have have said theyre returning for their senior year in the program. I think thats a great indication we made the right choice, Boffy said.

Spencer Sonnier, the career centers EMT instructor, passed his EMT certification last summer after previously earning his emergency medical responder certification. Fresh off the test, Sonnier said hes able to coach the students on how to approach the written and practical application portions of the certification exam. Its not just about knowing the material, but about knowing how to reason and apply the knowledge in different scenarios, he said.

Course topics include CPR, how to supply supplemental oxygen, how to fashion a sling, how to read vitals, how to mobilize a broken long bone and how to stabilize someone with a potential spinal injury, Sonnier said.

Sonnier, an athletic trainer at Northside High School, said his emergency medical skills strengthen his ability to provide the best care to players in all situations.

cole St. Landry, a new French immersion charter school in St. Landry Parish, is accepting applications for its inaugural semester, planning a

It helps me in my profession see it from a different angle and be able to be a better athletic trainer, and vice versa, athletic training has helped me be a better EMT. It adds another viewpoint on situations, he said.

The usefulness of an EMT certification is broad and career options arent limited to working on an ambulance. EMTs work with SWAT teams, in fire departments and in the oil field, among other areas, and students interested in nursing school or medical school can get valuable experience and a resume boost from working as an EMT, Sonnier said.

Earning the certification in high school can either give students a head start toward those goals, or help students rule out a planned career option with less risk, the teacher said.

It saves time and money for the student if they take it while theyre in high school. The high school pays for their learning, as opposed to if they wanted to take it after graduation, then they would have to pay for their learning. And then just the time, because once they graduate theyre ready to go instead of taking the traditional class that could take six months to a year, Sonnier said.

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LPSS career center expands medical career course options; new course opening this fall - The Advocate

YU and Montefiore Announce New BA/BS-MD Program with Einstein for High School Students – The Commentator – The Commentator

YU President Ari Berman and President and CEO of Montefiore Medicine Philip Ozuah signed a new agreement launching a joint YU-Albert Einstein College of Medicine BA/BS-MD program for high school graduates, according to an announcement made by YU on Jan. 19.

The new program, which is set to begin in 2022, will enable students to complete their undergraduate degree and continue directly into medical school at Einstein. Students apply for the program in their senior year of high school and are accepted to both schools, eliminating the separate application process usually necessary to progress from an undergraduate college to a medical school. This follows similar types of programs at other universities, such as the Sophie Davis Biomedical Education Program at the CUNY School of Medicine.

I have enjoyed working with Dr. Ari Berman to lay the groundwork for an exciting new chapter for Montefiore Medicine, Albert Einstein College of Medicine, and Yeshiva University, Ozuah told The Commentator.

According to YUs press release, this program is intended for highly qualified high school graduates ensuring their path to an excellent medical education and an impactful career in health care. Additionally, the press release noted that YU and Einstein established a task force to study the creation of additional joint academic and career-related programs in the fields of healthcare and health sciences. Provost and Vice President of Academic Affairs Dr. Selma Botman commented, This new era opens up potential for additional educational and research initiatives for our students.

Some current pre-med students, like Yona Berzon (SCW 23), were impressed with the program. This seems like such a brilliant program and an obvious choice for high schoolers who are serious about medicine, she said. Berzon, who is disappointed the program did not exist when she applied to college, also believes that this program will draw more students in who may not otherwise attend YU.

Most of the details of this new program such as how selective the program will be, eligibility for admissions, requirements that will need to be maintained once admitted and what happens if a student decided to drop out still need to be worked out. Botman shared that additional information on the program will be available in the coming months.

This partnership marks a significant renewal in YU and Einsteins partnership, which faltered in 2015 when YU turned over the leadership of Einstein to the Montefiore Health System.

Founded by YU in 1953, Einstein was created at a time when access to medical schools was generally restricted for Jews. Since its starting class of 56 students in 1955, Einstein has conferred 8,749 MD and 1,606 PhD degrees, and is currently ranked No. 40 in Best Medical Schools for Research and No. 43 in Best Medical Schools for Primary Care. In 1963, Einstein first established its affiliation with Montefiore Medical Center, which became Einsteins university hospital and academic medical center in 2009. However, it was not until February 2015 that YU announced the transfer of ownership of Einstein to the Montefiore Health System, in order to eliminate a massive deficit from the university's financial statements. The medical school was estimated to account for two-thirds of YUs annual operating deficits, which reached $100 million at the time of the announcement.

The agreement between YU and Montefiore was finalized on Sept. 9, 2015. Details of this transaction remained unclear at the time, as YU and Montefiore Health System declined to share any financial details of the deal, but documents obtained by The Forward show that YU transferred hundreds of millions of dollars in assets to Montefiore, including real estate and a portion of its endowment.

While financial and operational control of Einstein transferred over to Montefiore, which already operated Einsteins university hospital, YU continued to be the degree-granting authority until 2019, when the New York Board of Regents granted Einstein independent degree-granting jurisdiction. As of publication, it is unclear how, if at all, the announcement of this new program will affect the YU-Einstein partnership going forward.

However, in an email sent to the student body on Feb. 4, Berman wrote, This exciting new chapter in our relationship with Einstein further establishes opportunities for our students to attend and benefit from the incredible world-class research of our affiliate medical school.

--

Photo Caption: Montefiore Medicine President Philip Ozuah (left) and YU President Ari Berman (right)Photo Credit: Yeshiva University

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YU and Montefiore Announce New BA/BS-MD Program with Einstein for High School Students - The Commentator - The Commentator

Donation to Canadas smallest medical school will help train northern doctors – Yahoo News Canada

The Canadian Press

The latest numbers of confirmed COVID-19 cases in Canada as of 7:30 p.m. ET on Saturday Feb. 13, 2021. There are 823,353 confirmed cases in Canada. _ Canada: 823,353 confirmed cases (36,656 active, 765,469 resolved, 21,228 deaths).*The total case count includes 13 confirmed cases among repatriated travellers. There were 3,047 new cases Saturday. The rate of active cases is 96.45 per 100,000 people. Over the past seven days, there have been a total of 21,868 new cases. The seven-day rolling average of new cases is 3,124. There were 66 new reported deaths Saturday. Over the past seven days there have been a total of 526 new reported deaths. The seven-day rolling average of new reported deaths is 75. The seven-day rolling average of the death rate is 0.2 per 100,000 people. The overall death rate is 55.86 per 100,000 people. There have been 22,922,357 tests completed. _ Newfoundland and Labrador: 686 confirmed cases (288 active, 394 resolved, four deaths). There were 26 new cases Saturday. The rate of active cases is 55.16 per 100,000 people. Over the past seven days, there have been a total of 271 new cases. The seven-day rolling average of new cases is 39. There have been no deaths reported over the past week. The overall death rate is 0.77 per 100,000 people. There have been 157,097 tests completed. _ Prince Edward Island: 114 confirmed cases (two active, 112 resolved, zero deaths). There were zero new cases Saturday. The rate of active cases is 1.25 per 100,000 people. Over the past seven days, there have been a total of one new cases. The seven-day rolling average of new cases is zero. There have been no deaths reported over the past week. The overall death rate is zero per 100,000 people. There have been 95,793 tests completed. _ Nova Scotia: 1,592 confirmed cases (10 active, 1,517 resolved, 65 deaths). There were two new cases Saturday. The rate of active cases is 1.02 per 100,000 people. Over the past seven days, there have been a total of eight new cases. The seven-day rolling average of new cases is one. There have been no deaths reported over the past week. The overall death rate is 6.64 per 100,000 people. There have been 300,593 tests completed. _ New Brunswick: 1,398 confirmed cases (161 active, 1,215 resolved, 22 deaths). There were 16 new cases Saturday. The rate of active cases is 20.6 per 100,000 people. Over the past seven days, there have been a total of 61 new cases. The seven-day rolling average of new cases is nine. There were zero new reported deaths Saturday. Over the past seven days there have been a total of two new reported deaths. The seven-day rolling average of new reported deaths is zero. The seven-day rolling average of the death rate is 0.04 per 100,000 people. The overall death rate is 2.82 per 100,000 people. There have been 223,163 tests completed. _ Quebec: 275,880 confirmed cases (10,533 active, 255,146 resolved, 10,201 deaths). There were 1,049 new cases Saturday. The rate of active cases is 122.84 per 100,000 people. Over the past seven days, there have been a total of 6,903 new cases. The seven-day rolling average of new cases is 986. There were 28 new reported deaths Saturday. Over the past seven days there have been a total of 202 new reported deaths. The seven-day rolling average of new reported deaths is 29. The seven-day rolling average of the death rate is 0.34 per 100,000 people. The overall death rate is 118.97 per 100,000 people. There have been 5,868,164 tests completed. _ Ontario: 284,887 confirmed cases (12,343 active, 265,893 resolved, 6,651 deaths). There were 1,300 new cases Saturday. The rate of active cases is 83.77 per 100,000 people. Over the past seven days, there have been a total of 8,169 new cases. The seven-day rolling average of new cases is 1,167. There were 19 new reported deaths Saturday. Over the past seven days there have been a total of 168 new reported deaths. The seven-day rolling average of new reported deaths is 24. The seven-day rolling average of the death rate is 0.16 per 100,000 people. The overall death rate is 45.14 per 100,000 people. There have been 10,121,997 tests completed. _ Manitoba: 30,687 confirmed cases (1,628 active, 28,193 resolved, 866 deaths). There were 99 new cases Saturday. The rate of active cases is 118.03 per 100,000 people. Over the past seven days, there have been a total of 529 new cases. The seven-day rolling average of new cases is 76. There were zero new reported deaths Saturday. Over the past seven days there have been a total of 24 new reported deaths. The seven-day rolling average of new reported deaths is three. The seven-day rolling average of the death rate is 0.25 per 100,000 people. The overall death rate is 62.79 per 100,000 people. There have been 504,191 tests completed. _ Saskatchewan: 26,389 confirmed cases (1,950 active, 24,085 resolved, 354 deaths). There were 244 new cases Saturday. The rate of active cases is 165.44 per 100,000 people. Over the past seven days, there have been a total of 1,180 new cases. The seven-day rolling average of new cases is 169. There were four new reported deaths Saturday. Over the past seven days there have been a total of 18 new reported deaths. The seven-day rolling average of new reported deaths is three. The seven-day rolling average of the death rate is 0.22 per 100,000 people. The overall death rate is 30.03 per 100,000 people. There have been 537,172 tests completed. _ Alberta: 128,540 confirmed cases (5,271 active, 121,494 resolved, 1,775 deaths). There were 305 new cases Saturday. The rate of active cases is 119.2 per 100,000 people. Over the past seven days, there have been a total of 2,124 new cases. The seven-day rolling average of new cases is 303. There were 15 new reported deaths Saturday. Over the past seven days there have been a total of 70 new reported deaths. The seven-day rolling average of new reported deaths is 10. The seven-day rolling average of the death rate is 0.23 per 100,000 people. The overall death rate is 40.14 per 100,000 people. There have been 3,277,825 tests completed. _ British Columbia: 72,750 confirmed cases (4,454 active, 67,008 resolved, 1,288 deaths). There were zero new cases Saturday. The rate of active cases is 86.52 per 100,000 people. Over the past seven days, there have been a total of 2,606 new cases. The seven-day rolling average of new cases is 372. There were zero new reported deaths Saturday. Over the past seven days there have been a total of 42 new reported deaths. The seven-day rolling average of new reported deaths is six. The seven-day rolling average of the death rate is 0.12 per 100,000 people. The overall death rate is 25.02 per 100,000 people. There have been 1,807,331 tests completed. _ Yukon: 71 confirmed cases (one active, 69 resolved, one deaths). There was one new case Saturday. The rate of active cases is 2.38 per 100,000 people. Over the past seven days, there has been one new case. The seven-day rolling average of new cases is zero. There have been no deaths reported over the past week. The overall death rate is 2.38 per 100,000 people. There have been 7,854 tests completed. _ Northwest Territories: 38 confirmed cases (six active, 32 resolved, zero deaths). There were zero new cases Saturday. The rate of active cases is 13.29 per 100,000 people. Over the past seven days, there have been a total of six new cases. The seven-day rolling average of new cases is one. There have been no deaths reported over the past week. The overall death rate is zero per 100,000 people. There have been 13,038 tests completed. _ Nunavut: 308 confirmed cases (nine active, 298 resolved, one deaths). There were five new cases Saturday. The rate of active cases is 22.87 per 100,000 people. Over the past seven days, there have been a total of nine new cases. The seven-day rolling average of new cases is one. There have been no deaths reported over the past week. The overall death rate is 2.54 per 100,000 people. There have been 8,063 tests completed. This report was automatically generated by The Canadian Press Digital Data Desk and was first published Feb. 14, 2021. This report by The Canadian Press was first published Feb. 14, 2021 The Canadian Press

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Donation to Canadas smallest medical school will help train northern doctors - Yahoo News Canada

Of All Things: Medicine names, old and new – Montgomery Newspapers

Words interest me. Ive been reading them since I was five years old or so, and working with them for profit ever since I sold my first writing while I was in high school.

Which is why I wonder who invents all those unusual names that are hung on brands of medicine.

I see them in advertising in magazines, especially in ones about travel or gardening or entertainment, aimed at a middle-aged audience. They are astonishingly meaningless.

I jotted down a few of them:Cequa, Dovoto, Fanaft, Isbrance, Keytruda, Nexletol, Nuplazid, Prevagen, Rinvoq, Rybelsis, Skyrizi, and XiiDRA.

There is no way most of us could tell that Cequa treats dry eyes, and Fanaft is for schizophrenia. Maybe they teach it in medical school like a foreign language.

It was always like that in a way, but the names on most medicine bottles were not in impossible language when I was a little boy. So I looked into some of the medicines then inflicted on me.

Castor Oil, a nasty-tasting laxative dreaded by little kids, was labeled in plain English, and still is. You can buy a bottle for a few bucks at Walmart. You can buy a castor bean plant and grow your own. And there are places where you can buy a gallon for about 25 bucks. I dont want to think about a gallon.

Aspirin is short foracetylsalicylic acid, which GermanchemistCharles FredericGerhardtcreated in 1853. By 1899, the Bayerfirmhad named it Aspirin and sold it around the world.The wordAspirinwas Bayer's brand name, but, its rights to the use itwere lost in many countries.

You can still buy Father Johns Cough Syrup at Walmart. Another regular potion when I was a kid is harder to find these days.

It started on May 12, 1868, when a patent was granted to Dr. Samuel Pitcher (1824-1907) of Barnstable, Massachusetts, for a cathartic thats ingredients included sodium bicarbonate, but also essence of wintergreen, dandelion, sugar and water. The remedy was first sold as Pitcher'sCastoria.

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Of All Things: Medicine names, old and new - Montgomery Newspapers

Covid-19 Live News and Updates – The New York Times

Heres what you need to know:Genomic sequencing can detect and track virus variants, but the United States is sequencing relatively few coronavirus test samples. Lab technicians at Duke University prepared samples for sequencing earlier this month.Credit...Pete Kiehart for The New York Times

As Americans anxiously watch the spread of coronavirus variants that were first identified in Britain and South Africa, scientists are finding a number of new variants that seem to have originated in the United States and many of them may pose the same kind of extra-contagious threat.

In a study posted on Sunday, a team of researchers reported seven growing lineages of the coronavirus, spotted in states across the country. All have gained a mutation at the exact same spot in their genes.

Theres clearly something going on with this mutation, said Jeremy Kamil, a virologist at Louisiana State University Health Sciences Center and a co-author of the new study.

Its not clear yet whether this shared mutation makes the variants more contagious, but because it appears in a gene that influences how the virus enters human cells, the scientists are highly suspicious.

I think theres a clear signature of an evolutionary benefit, Dr. Kamil said.

Its not unusual for different genetic lineages to independently evolve in the same direction. Charles Darwin recognized convergent evolution in animals. Virologists have found that it happens with viruses, too. As the coronavirus branches into new variants, researchers are observing Darwins theory of evolution in action every day.

Its difficult to answer even basic questions about how prevalent the new variants are in the United States because the country sequences genomes from less than 1 percent of coronavirus test samples. The researchers found examples scattered across much of the country, but they cant tell where they first arose.

Its also hard to say whether the variants are spreading now because they are more contagious, or for some other reason, like holiday travel or superspreader events.

Scientists say the mutation could plausibly affect how easily the virus gets into human cells. But Jason McLellan, a structural biologist at the University of Texas at Austin who was not involved in the study, cautioned that the way that the coronavirus unleashes its harpoons was still fairly mysterious.

Its tough to know what these substitutions are doing, he said of the mutations. It really needs to be followed up with some additional experimental data.

Vaccinations are picking up pace. The spread of the coronavirus in the United States has slowed drastically. The Centers for Disease Control and Prevention is urging K-12 schools to reopen safely and as soon as possible.

But just as states are again lifting mask-wearing mandates and loosening restrictions, experts fear that more contagious variants could undo all that progress.

That threat seems only to grow as researchers learn more. British government scientists now believe the more contagious variant that is ravaging Britain is also likely to be deadlier than earlier versions of the virus, according to a document posted on a government website on Friday. An earlier assessment on a smaller scale warned last month that there was a realistic possibility the variant was more lethal.

The variant, also known as B.1.1.7, is spreading rapidly in the United States, doubling roughly every 10 days, another recent study found.

In line with an earlier warning from the C.D.C., the study predicted that by March the variant could become the dominant source of coronavirus infection in the United States, potentially bringing a surge of new cases and increased risk of death.

Beyond that, scientists reported on Sunday that they have begun to spot more new variants that seem to have emerged in the U.S. and are concerned that they may spread more readily than earlier versions.

Vaccine distribution is accelerating the U.S. is now averaging about 1.66 million doses a day, well above the Biden administrations target of 1.5 million but B.1.1.7 has a worrisome mutation that could make it harder to control with vaccines, a Public Health England study found this month.

The variant has spread to at least 82 countries, and is being transmitted 35 percent to 45 percent more easily than other variants in the United States, scientists recently estimated. Most people who catch the virus in Britain these days are being infected by that variant.

The British research on B.1.1.7s lethality did come with caveats, and the reasons for the variants apparently elevated death rate are not entirely clear. Some evidence suggests that people infected with the variant may have higher viral loads, a feature that could not only make the virus more contagious but also potentially undermine the effectiveness of certain treatments.

But government scientists were relying on studies that examined a small proportion of overall deaths. They also struggled to account for the presence of underlying illnesses in people infected with the new variant, and for whether the cases originated in nursing homes.

Bill Hanage, an epidemiologist at Harvard University, said that although we do need to have a degree of caution in looking at the findings, its perfectly reasonable to think that this is something serious I am certainly taking it seriously.

Its pretty clear we have something which is both more transmissible and is more worrying if people become infected, he said.

Angela Rasmussen, a virologist at Georgetown University, said relaxing restrictions now would be courting disaster. She urged Americans to be extra vigilant about mask wearing, distancing and avoiding enclosed spaces.

You dont want to get any variant, Dr. Rasmussen said, but you really dont want to get B.1.1.7.

The United States confirmed its first case of the B.1.1.7 variant on Dec. 29. Unlike Britain, it has been conducting little of the genomic sequencing necessary to track the spread of new variants that have caused concern, though the Biden administration has vowed to do more.

On Friday, for the fifth time in six days, the number of new virus cases reported in the United States dipped below 100,000 far less than the countrys peak of more than 300,000 reported on Jan. 8.

As the number of virus cases and hospitalizations has fallen, the Republican governors of Montana, Iowa, North Dakota and Mississippi have recently ended statewide mask-wearing mandates. In New York, Gov. Andrew M. Cuomo, a Democrat, has allowed indoor dining to resume at 25 percent capacity, though experts have repeatedly warned that maskless activities, such as eating, in enclosed spaces are high-risk.

Although virus case numbers are moving in the right direction, the loosening of restrictions has unnerved experts like Saskia Popescu, an epidemiologist at George Mason University in Virginia.

Now more than ever, with novel variants, we need to be strategic with these reopening efforts and be slow and not rush things, she said.

The director of the Centers for Disease Control, Dr. Rochelle Walensky, tried on Sunday to build support for reopening schools, even in districts with high infection rates and before vaccinating teachers, political sticking points for the Biden administration.

In a round of appearances on the morning news shows, Dr. Walensky promoted her agencys new guidelines for schools, seeking to build confidence that the Biden administrations strategy could satisfy teachers and parents alike and fulfill the new presidents promise to reopen schools by his 100th day in office.

We hadnt previously had the science in order to inform how to open safely, Dr. Walensky said on Fox News Sunday. We didnt have the data, and prior we didnt have any guidance as to how to do it safely, so we are really anticipating with this guidance emerging, that schools will be able to start reopening.

She reiterated her earlier, controversial statement at a news briefing that scientific data supported the idea of reopening schools before teachers were vaccinated but she also noted that the C.D.C.s advisory panel on vaccines recommended that states consider teachers to be essential workers, placing them high on the priority list.

The Biden administration is juggling demands to open schools as soon as possible with teachers concerns about safety. Earlier this month, teachers unions objected to Dr. Walenskys comment about teachers not needing to be vaccinated before schools reopened. The comment also drew a rebuke from the White House press secretary, Jen Psaki, who said Dr. Walenskys remark was made in her personal capacity.

The guidelines issued on Friday offered a chance for a reset, by outlining strict and expensive safety measures, like cleaning, mask wearing, contact tracing, frequent testing and social distancing.

But on Sunday, Dr. Walensky acknowledged that few schools were currently up to the task, without a significant infusion of federal funds.

Not all schools are able to do all of those things right now, she said on CNN, and many of those schools are in red zones, referring to communities with high infection rates. We need to do the work to get all of those mitigation strategies up and running in all of the schools.

transcript

transcript

Its a very important day for us, weve been waiting for it, this pandemic took a great toll. Weve had a lot of cases, a lot of fatalities in Lebanon. So were really looking forward to the vaccine to hopefully see some light at the end of the tunnel. Privileged. Excited. Happy that this is happening, that it is happening to Lebanon. A good thing for once. Its working. And I look forward to everybody being able to get the chance to get it too.

BEIRUT, Lebanon Lebanon began vaccinating its citizens against Covid-19 on Sunday, offering a rare glimmer of hope in a country suffering badly from several overlapping crises, just one of which is the pandemic.

The first shot was administered to the director of the intensive care unit at the lead government hospital fighting the pandemic. The second was given to a famous 93-year-old comedian.

The vaccination drive began after Lebanon received its first batch of 28,500 doses of the Pfizer-BioNTech vaccine. Using $34 million in financing from the World Bank, Lebanon is buying enough doses to vaccinate about two million people, roughly one-third of its population. Millions more doses are expected to arrive in the spring and summer through a United Nations program and commercial sources.

Lebanons worst coronavirus surge peaked in mid-January, when the country was averaging more than 4,800 newly reported cases a day, according to a New York Times database; the average has since fallen somewhat, to about 2,700 a day. Some 337,000 people in Lebanon almost 5 percent of the population are now known to have had the virus, and more than 3,900 have died.

To try to drive the numbers down, the government imposed a very strict lockdown in mid-January, with a 24-hour curfew and widespread shop closures. It eased the restrictions slightly last week, but the curfew largely remains in effect.

The suffering caused by the pandemic has been compounded by a political crisis that has left Lebanon without an effective government for six months, and a financial crisis that has drastically weakened the local currency, making imported medicines, food and other products more expensive.

A huge explosion in the port of Beirut last August also made matters worse, heavily damaging four hospitals, killing 200 people and leaving thousands more wounded.

global roundup

transcript

transcript

These new cases pose questions our public health staff are working around the clock to answer. We dont yet have a complete picture of the potential source of the infection and spread, if any, beyond one household. And we are waiting for the genome sequencing and serology, both of which will provide important pieces of this puzzle. As of 11:59 p.m. tonight, Sunday, Feb. 14, Aukland will move to Level 3 for a period of three days, until midnight on Wednesday. The rest of New Zealand will move to Level 2 for the same period of time. The main thing we are asking people in Auckland to do is to stay home to avoid any risk of spread. That means staying in your bubble other than for essential personal movement. People should work from home unless that is not possible. If you go outside your home, please maintain physical distancing of two meters outside. Or if youre in a controlled environment where you know others present, one meter. Im asking New Zealanders to continue to be strong and be kind. I know we all feel the same way when this happens. We all get that sense of, not again. But remember, we have been here before. That means we know how to get out of this again. And that is together. If you know someone in Auckland, reach out, please check on them. And if youre in Auckland, please check on your neighbors, ensure theyre looked after and supported. And finally, as Ive said all the way through this, ultimately, please remember, we are going to be OK.

AUCKLAND, New Zealand Faced with the creeping threat of more infectious coronavirus variants, Australia and New Zealand have responded to a small number of cases with near-immediate regional lockdowns.

On Sunday night, as couples celebrating Valentines Day strolled arm-in-arm through central Auckland, Prime Minister Jacinda Ardern of New Zealand announced that the city would begin a three-day lockdown at midnight because of three unexplained positive test results in a single family. The rest of New Zealand would be subject to increased physical distancing requirements over the same period, she said.

Ms. Ardern said Monday that all three cases were the variant first detected in Britain, and that its higher transmissibility meant the government had been absolutely right to order the lockdown. Australia has also suspended quarantine-free travel with New Zealand for at least 72 hours over the new cases.

Separately, both countries said Monday that they had received their first shipments of the Pfizer vaccine.

New Zealand has had almost no virus-related restrictions since the fall, when it successfully eliminated the virus for a second time. Over all, the country has reported 2,330 coronavirus cases and 25 deaths, far fewer in proportion to its population than most other developed nations.

The Australian state of Victoria has also been placed in a short-term lockdown in response to a small outbreak, which began at a quarantine hotel and has grown to 16 cases. During the lockdown, which began at 11:59 p.m. Friday and is intended to last five days, most of Victorias six million people are not allowed to leave home except for limited periods of outdoor exercise or shopping. Professional tennis players who are in Melbourne, the state capital, for the Australian Open are considered essential workers and have been allowed to continue playing their matches, albeit without fans in attendance.

Like New Zealand, Australia has had relatively few infections and deaths, and acts aggressively at the first sign of new outbreaks. Similar snap lockdowns in the Australian cities of Perth and Brisbane were successful recently at quashing transmission.

Announcing the Auckland lockdown on Sunday, Ms. Ardern said, Our view is, youll have less regret if you move early and hard than if you leave it and it gets out of control.

In other news around the world:

The start of ski season in Italy is delayed, the health minister Roberto Speranza announced. Citing the spread of a coronavirus variant, Mr. Speranza said amateur skiing was forbidden through at least March 5, The Associated Press reported. Italys last ski season was halted as the country became a coronavirus epicenter last spring, and it hasnt restarted since then. This years closure is another blow to an industry that generates 1.2 billion euros, or $1.5 billion, in annual revenues.

Portugal, which until the last few days had been enduring one of the worlds worst coronavirus surges, has prolonged its Covid-19 state of emergency. The extension, until at least March 1, comes as new daily cases fell over the weekend to their lowest level since late December, while the latest daily death toll, 138, is the lowest since Jan. 11. Still, Portugals Covid-19 death toll now stands at 15,321. By comparison, Greece, which has a roughly equal population of about 10 million, has recorded 6,126 deaths.

Japan issued its first approval for a vaccine against the coronavirus on Sunday, saying that it would use the Pfizer-BioNTech vaccine to begin inoculating frontline health care workers this week. Japan has been slower than the United States and Europe to authorize any coronavirus vaccines, but it has also had the luxury of time. Public health measures have successfully kept case rates low and the countrys economy has suffered less than others. It showed a sharp rebound, growing 3 percent, in the last three months of 2020. But the growth was fragile and could easily be disrupted, analysts cautioned.

New Yorkers with chronic health conditions that made them newly eligible for the Covid-19 vaccine flooded a state website and call center Sunday morning, leaving many unable to immediately schedule appointments at mass vaccination centers.

State officials said on Sunday that 73,000 appointments had been scheduled as of 11:30 a.m., while 500,000 people went through an online eligibility screening tool needed to make appointments. Thousands were in virtual waiting rooms that can hold up to 8,000 people per vaccination site. Once those waiting rooms are full, people attempting to schedule appointments are told to try again later.

Richard Azzopardi, a senior adviser to Gov. Andrew M. Cuomo, said demand was high, but our infrastructure has remained up and intact. He said that the states ability to make appointments depended on the vaccine supply, which is steadily increasing.

Officials said the new criteria, which include chronic health conditions like obesity and hypertension, made four million more New Yorkers eligible for the Covid-19 vaccine. They join a growing number of people in the state who are eligible for the vaccine despite a shortage in supply.

Those who are now eligible include adults who have certain health conditions that may increase their risk of severe illness or death from the coronavirus. Aside from obesity and hypertension, other conditions that would qualify New Yorkers for the vaccine include pulmonary diseases and cancer, Mr. Cuomo announced this month. He also made pregnancy a qualifying condition.

Appointments for people who are in this group can be scheduled for as early as Monday, though most people will probably face a long wait because vaccine doses are scarce now. New Yorkers must provide proof of their condition with a doctors note, signed certification or medical documentation, Mr. Cuomo said.

While this is a great step forward in ensuring the most vulnerable among us have access to this lifesaving vaccine, its no secret that any time youre dealing with a resource this scarce, there are going to be attempts to commit fraud and game the systems, Mr. Cuomo said in a statement.

In New York State, about 10 percent of the population has received its first dose, according to data gathered by The New York Times. With the new criteria, about 11 million people are now eligible in the state, including people ages 65 and older, health care workers and teachers over half the state population.

New York City recently opened mass vaccination sites at Yankee Stadium in the Bronx and Citi Field in Queens to better reach communities hit hard by the virus. The state and federal government also announced last week that the Federal Emergency Management Agency would open vaccination sites at Medgar Evers College in Brooklyn and York College in Queens.

To check on eligibility and schedule an appointment, New Yorkers can complete a prescreening on the states website. They can also call the states vaccination hotline at 1-833-NYS-4VAX (1-833-697-4829) for more information about vaccine appointments.

Phila Lachaux, a 22-year-old business student in France, dreamed of striking out on her own in the live music industry. But the pandemic led to the loss of her part-time job as a waitress, and sent her back to live at her family home.

Now, struggling to envision a future after months of restrictions, Ms. Lachaux says that loneliness and despair seep in at night. I look at the ceiling, I feel a lump in my throat, she said. Ive never had so many suicidal thoughts.

With curfews, closures and lockdowns in Europe set to drag into the spring or even the summer, mental health professionals are growing increasingly alarmed about the deteriorating mental state of young people.

Last in line for vaccines and with schools and universities shuttered, young adults have borne many of the sacrifices made largely to protect older people, who are more at risk from severe infections.

Across the world, the young have lost economic opportunities, missed traditional milestones and forfeited relationships at a pivotal time for forming identity.

Many feel theyre paying the price not of the pandemic, but of the measures taken against the pandemic, said Dr. Nicolas Franck, the head of a psychiatric network in Lyon, France. In a survey of 30,000 people that he conducted last spring, young people ranked the lowest in psychological well-being, he said.

In Italy and in the Netherlands, some youth psychiatric wards have filled to record capacity. In France, professionals have urged the authorities to consider reopening schools to fight loneliness. And in Britain, some therapists said that they had counseled patients to break lockdown guidelines to cope.

In the United States, a quarter of 18- to 24-year-olds said they had seriously considered suicide, one report said. In Latin America and the Caribbean, a survey conducted by UNICEF of 8,000 young people found that more than a quarter had experienced anxiety and 15 percent depression.

We are in the midst of a mental health pandemic, and I dont think its treated with near enough respect, said Arkadius Kyllendahl, a psychotherapist in London who has seen the number of younger clients double in recent months.

If you are having thoughts of suicide, the following organizations can help.

In Britain, call Papyrus at +44 800 068 4141 (9am to midnight), or message Young Minds: text YM to 85258. You can also find a list of additional resources on Mind.org.

In France, call SOS Amiti at +33 9 72 39 40 50 (24/7) or Fil Sant Jeunes at +33 800 235 236 (9am to 11pm). Ameli has a list of additional resources.

In Italy, call Telefono Amico at +39 2 2327 2327 (10am to midnight) or Telefono Azzurro at +39 19696 (a webchat is also available).

A team of experts selected by the World Health Organization to investigate the origins of the coronavirus returned last week from Wuhan, China, site of the worlds first outbreak. Having broken the ice with Chinese scientists, the team plans to produce a joint report on the possible origins of the virus.

The two groups of scientists agreed to pursue some ideas that the Chinese government has been promoting, like the possibility that the virus was transported on frozen food. But the W.H.O. team also became frustrated by Chinas refusal to turn over raw data for analysis.

Peter Daszak, a member of the W.H.O. team and the president of EcoHealth Alliance in New York, is primarily concerned with the animal origins of the virus. A specialist in animal diseases and their spread to humans, Dr. Daszak has worked with the Wuhan Virology Institute, a collaboration that last year prompted the Trump administration to cancel a grant to his organization.

In an interview after his return to New York, he said that the visit had provided some new clues, which all of the scientists, Chinese and international, agreed most likely pointed to an animal origin within China or Southeast Asia. The scientists have largely discounted claims that the virus originated in a lab, saying that possibility was so unlikely that it was not worth further investigation.

He reflected on the atmosphere in Wuhan and his first glimpse of the seafood market where the initial outbreak occurred last year, although it was not the site of the first cases. He also said the path ahead would be straightforward scientifically, but not politically.

The W.H.O. investigation was the subject of a sharp exchange over the weekend between the U.S. and Chinese governments. Jake Sullivan, the national security adviser, said Saturday that the Biden administration had deep concerns about its early findings and how they were communicated.

It is imperative that this report be independent, with expert findings free from intervention or alteration by the Chinese government, he said in a statement.

In response, the Chinese government asked whether the United States could be considered a credible partner in the matter, having only recently rejoined the W.H.O. after withdrawing during the Trump administration.

What the U.S. has done in recent years has severely undermined multilateral institutions, including the W.H.O., and gravely damaged international cooperation on Covid-19, the Chinese Embassy in Washington said in a statement.

But the U.S., acting as if none of this had ever happened, is pointing fingers at other countries who have been faithfully supporting the W.H.O. and at the W.H.O. itself, it continued. With such a track record, how can it win the confidence of the whole world?

Austin Ramzy contributed reporting.

WHEELING, W.Va. After nearly a year in lockdown for the residents of Good Shepherd Nursing Home eating meals in their rooms, playing bingo through their television sets and isolating themselves almost entirely from the outside world their coronavirus vaccinations were finished and the hallways were slowly beginning to reawaken.

In a first, tentative glimpse at what the other side of the pandemic might look like, Betty Lou Leech, 97, arrived to the dining room early, a mask on her face, her hair freshly curled.

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Covid-19 Live News and Updates - The New York Times

COVID-19 and victim-blaming has made it more difficult to care for people living with HIV/AIDS | Opinion – NJ.com

By Perry N. Halkitis, Shobha Swaminathan and Travis Love

For the 1.2 million Americans living with HIV or AIDS, the ongoing COVID-19 pandemic continues to undermine their physical, mental, social, and economic wellbeing.

These impacts on health are exacerbated in Black and brown communities particularly Black sexual- and gender-minority men and women and Black cisgender women who are coping with the realities created by COVID-19, ongoing systemic discrimination, and a plethora of other social inequities that create additional vulnerabilities to their overall health.

The COVID-19 pandemic has derailed our efforts to bring an end to the HIV/AIDS epidemic, adding to the stigma, systems of oppression and structural racism that ultimately fuel the HIV/AIDS epidemic in our state and country.

We know all too well that stigma is one of the reasons why patients continue to experience trauma related to their HIV diagnosis. In fact, for many people living with HIV/AIDS, reliving the trauma of isolation while simultaneously fearing for their lives should they become infected with COVID-19 has had a synergistic effect.

As a result of the ongoing stigma surrounding HIV/AIDS, many people who become infected with this virus may not want to know their status, fearing rejection from family, friends, and sexual partners. In fact, for those already diagnosed, the stigma and resulting trauma can prevent many from continuing to seek adequate care, undermining their viral suppression and resulting in the progression of HIV. This can also lead to increased infectivity to sexual partners.

In the early days of HIV/AIDS, victim-blaming was common and those who developed a detectable number of antibodies in their blood were categorized as either innocent victims (i.e. children and hemophiliacs) or immoral beings who through their actions brought the disease upon themselves (i.e. gay men and injection drug users).

We believe that stigma is the driving force behind the health disparities that continue to put people at risk for HIV/AIDS. In order to end the HIV/AIDS epidemic, we must ensure more access to care and cultivate an ecosystem that combats systemic racism, homophobia, and transphobia.

We must call on the federal government to fund and tackle gaps in care and to prioritize care for individuals who are vulnerable to both COVID-19 and HIV/AIDS, who are too often Black and brown people.

It is very possible to envision a world free from HIV, given our current medical advances in the form of preventative medication, PrEP, and effective antiretroviral therapy (ART), which when dosed properly creates a zero probability that an HIV-positive person can infect someone else.

What we need now, is a vaccine. After 30 years of research, a new clinical study, MOSAICO, shows promise and offers hope. The Rutgers New Jersey Medical School Clinical Research Center (NJMS CRC) is currently seeking volunteers who are queer, gender non-conforming, and transgender to screen and enroll in the study. The research team also facilitates workshops to reduce vaccine hesitancy and to raise research literacy.

Yet, medications are not enough. While novel therapeutics remain key, behavioral interventions and social acceptance are essential for their success. By using a status neutral approach, we will stop the forced differentiation of HIV positive and negative people. This approach is simple: a person is ensured access to care if they are HIV positive. If a person is HIV negative, they are given access to preventative medications such as PrEP.

Practicing a status neutral approach can repair the schism that has existed for far too long between HIV-positive and HIV-negative populations. Our goal is to assure that everyone has a right to good health.

Gov. Phil Murphy has shown how deeply he understands and how passionately he cares about the structural drivers of disease. Now we must act. We cannot let the HIV/AIDS epidemic continue to take a backseat to pressing health care issues of the moment. As we continue to raise awareness, we are calling on New Jerseys Legislative leadership to enact the policies developed by Governor Murphys Statewide Task Force to End the HIV Epidemic.

We all need to raise our voices together to end this epidemic. The public can also make a difference by urging our elected officials to:

To learn more, join Rutgers School of Public Health and Rutgers New Jersey Medical School as we strive to raise awareness of a Neutral Nation with a series of engaging events from February 17 to 20.

Dr. Perry N. Halkitis is dean and director of the Center for Health, Identity Behavior & Prevention Studies (CHIBPS) at the Rutgers School of Public Health. Dr. Halkitis also was a member of both the New Jersey and New York Ending the HIV Epidemic planning groups.

Dr. Shobha Swaminathan is an associate professor of medicine at Rutgers New Jersey Medical School and the Medical Director of the infectious diseases practice at University Hospital in Newark. She was a principal investigator of Modernas COVID-19 vaccine trial in Newark.

Travis Love is a community educator who has served as a public health representative at Rutgers New Jersey Medical School since 2016.

Our journalism needs your support. Please subscribe today to NJ.com.

Heres how to submit an op-ed or Letter to the Editor. Bookmark NJ.com/Opinion. Follow us on Twitter @NJ_Opinion and on Facebook at NJ.com Opinion. Get the latest news updates right in your inbox. Subscribe to NJ.coms newsletters.

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COVID-19 and victim-blaming has made it more difficult to care for people living with HIV/AIDS | Opinion - NJ.com

The Telling Numbers: How COVID-19 has Hit Black Residents in NJ – Jersey City Times

Higher impact of the disease is associated with existing health factors as well as social factors

This story was written and produced by NJ Spotlight. It is being republished under a special NJ News Commons content-sharing agreement related to COVID-19 coverage. To read more, visit njspotlight.com.

Full story link HERE.

By Colleen ODea

More evidence of COVID-19s disparate impact on New Jerseys African Americans can be found in an analysis by state health officials and a study by Rutgers University professors.

The state Department of Health adjusted cases, hospitalizations and deaths from the disease caused by the novel coronavirus for age and found the rate of infection among Black residents exceeded that of white residents, 4,181 per 100,000 compared with 3,332. African Americans were more than twice as likely as whites to be hospitalized from COVID-19 (810 per 100,000 versus 303) or to die from the disease (267 per 100,000 versus 120). Earlier this month, death data for 2020 showed COVID-19 was the number one killer of Blacks in New Jersey, with one of five African American deaths attributed to the disease and related conditions.

Health officials have noted the disparate impact the virus was having on Black and brown communities since early in the pandemic. The states COVID-19information portalbreaks out cases, hospitalizations and deaths by race. The state health commissioner typically relates some of this information during her briefings on the pandemic.

A recent study by a group of Rutgers University researchers published in theJournal of Racial and Ethnic Health Disparities found that COVID-19 mortality racial disparities in the U.S. are associated with such social factors as income, education and internet access and highlights the need for public-health policies that address structural racism.

The researchers looked at the association between COVID-19 cases and deaths in 2,026 U.S. counties from January to October 2020 and social determinants of health that can raise the risk for infection and death. They also looked at factors known or thought to impact COVID-19 outcomes, including the counties population density and such health factors as obesity, diabetes, chronic obstructive pulmonary disease and high blood pressure.

The study found that a higher rate in a countys percent of Black residents, uninsured adults, low birth-weight infants, adults without a high school diploma, incarceration rate and households without internet increased that countys COVID-19 death rates during the period examined.Counties that were the most deprived socioeconomically had a 67% increase in the COVID-19 death rate. Michelle DallaPiazza, lead author of the study and an associate professor at Rutgers New Jersey Medical School, said the percent of households without internet which provides updated knowledge of the pandemic and allows remote working and learning and the percentage of adults without a high school diploma were the factors most associated with a countys COVID-19 death rate.

The findings are consistent with historical health inequities in marginalized populations, particularly Black Americans, DallaPiazza said. This adds to the extensive literature on racial health disparities that demonstrate that social and structural factors greatly influence health outcomes, and this is particularly true when it comes to COVID-19.

Dr. Robert Johnson, dean of the Rutgers New Jersey Medical School and interim dean of Rutgers Robert WoodJohnson Medical School, said it is well-known that certain factors influence the way diseases like COVID-19 impact African Americans and others and policymakers need to make greater efforts to change these.

Theyre adversely affected by poverty, Johnson said. Theyre adversely affected by the environment they live in, adversely affected by poor nutrition. All these things need to be changed. Every time we have a severe chronic illness this is the outcome we get because the health disparities are real.

Header: Photo by Maria Oswalt on Unsplash

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The Telling Numbers: How COVID-19 has Hit Black Residents in NJ - Jersey City Times

Virus may never go away but could change into mild annoyance – Sumter Item

NEW DELHI (AP) What if COVID-19 never goes away?

Experts say it's likely that some version of the disease will linger for years. But what it will look like in the future is less clear.

Will the coronavirus, which has already killed more than 2 million people worldwide, eventually be eliminated by a global vaccination campaign, like smallpox? Will dangerous new variants evade vaccines? Or will the virus stick around for a long time, transforming into a mild annoyance, like the common cold?

Eventually, the virus known as SARS-CoV-2 will become yet "another animal in the zoo," joining the many other infectious diseases that humanity has learned to live with, predicted Dr. T. Jacob John, who studies viruses and was at the helm of India's efforts to tackle polio and HIV/AIDS.

But no one knows for sure. The virus is evolving rapidly, and new variants are popping up in different countries. The risk of these new variants was underscored when Novavax Inc. found that the company's vaccine did not work as well against mutated versions circulating in Britain and South Africa. The more the virus spreads, experts say, the more likely it is that a new variant will become capable of eluding current tests, treatments and vaccines.

For now, scientists agree on the immediate priority: Vaccinate as many people as quickly as possible. The next step is less certain and depends largely on the strength of the immunity offered by vaccines and natural infections and how long it lasts.

"Are people going to be frequently subject to repeat infections? We don't have enough data yet to know," said Jeffrey Shaman, who studies viruses at Columbia University. Like many researchers, he believes chances are slim that vaccines will confer lifelong immunity.

If humans must learn to live with COVID-19, the nature of that coexistence depends not just on how long immunity lasts, but also how the virus evolves. Will it mutate significantly each year, requiring annual shots, like the flu? Or will it pop up every few years?

This question of what happens next attracted Jennie Lavine, a virologist at Emory University, who is co-author of a recent paper in Science that projected a relatively optimistic scenario: After most people have been exposed to the virus either through vaccination or surviving infections the pathogen "will continue to circulate, but will mostly cause only mild illness," like a routine cold.

While immunity acquired from other coronaviruses like those that cause the common cold or SARS or MERS wanes over time, symptoms upon reinfection tend to be milder than the first illness, said Ottar Bjornstad, a co-author of the Science paper who studies viruses at Pennsylvania State University.

"Adults tend not to get very bad symptoms if they've already been exposed," he said.

The prediction in the Science paper is based on an analysis of how other coronaviruses have behaved over time and assumes that SAR-CoV-2 continues to evolve, but not quickly or radically.

The 1918 flu pandemic could offer clues about the course of COVID-19. That pathogen was an H1N1 virus with genes that originated in birds, not a coronavirus. At the time, no vaccines were available. The U.S. Centers for Disease Control and Prevention estimates that a third of the world's population became infected. Eventually, after infected people either died or developed immunity, the virus stopped spreading quickly. It later mutated into a less virulent form, which experts say continues to circulate seasonally.

"Very commonly the descendants of flu pandemics become the milder seasonal flu viruses we experience for many years," said Stephen Morse, who studies viruses at Columbia University.

It's not clear yet how future mutations in SARS-CoV-2 will shape the trajectory of the current disease.

As new variants emerge some more contagious, some more virulent and some possibly less responsive to vaccines scientists are reminded how much they don't yet know about the future of the virus, said Mark Jit, who studies viruses at the London School of Hygiene and Tropical Medicine.

"We've only known about this virus for about a year, so we don't yet have data to show its behavior over five years or 10 years," he said.

Of the more than 12 billion coronavirus vaccine shots being made in 2021, rich countries have bought about 9 billion, and many have options to buy more. This inequity is a threat since it will result in poorer countries having to wait longer for the vaccine, during which time the disease will continue to spread and kill people, said Ian MacKay, who studies viruses at the University of Queensland.

That some vaccines seem less effective against the new strains is worrisome, but since the shots provide some protection, vaccines could still be used to slow or stop the virus from spreading, said Ashley St. John, who studies immune systems at Duke-NUS Medical School in Singapore.

Dr. Gagandeep Kang, an infectious diseases expert at Christian Medical College at Vellore in southern India, said the evolution of the virus raises new questions: At what stage does the virus become a new strain? Will countries need to re-vaccinate from scratch? Or could a booster dose be given?

"These are questions that you will have to address in the future," Kang said.

The future of the coronavirus may contrast with other highly contagious diseases that have been largely beaten by vaccines that provide lifelong immunity such as measles. The spread of measles drops off after many people have been vaccinated.

But the dynamic changes over time with new births, so outbreaks tend to come in cycles, explained Dr. Jayaprakash Muliyil, who studies epidemics and advises India on virus surveillance.

Unlike measles, kids infected with COVID-19 don't always exhibit clear symptoms and could still transmit the disease to vulnerable adults. That means countries cannot let their guard down, he said.

Another unknown is the long-term impact of COVID-19 on patients who survive but are incapacitated for months, Kang said.

The "quantification of this damage" how many people can't do manual labor or are so exhausted that they can't concentrate is key to understanding the full consequences of the disease.

"We haven't had a lot of diseases that have affected people on a scale like this," she said.

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Virus may never go away but could change into mild annoyance - Sumter Item