{"id":227254,"date":"2017-07-12T11:55:19","date_gmt":"2017-07-12T15:55:19","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/data-driven-medicine-the-role-of-ai-in-cancer-diagnostics-technology-networks-blog.php"},"modified":"2017-07-12T11:55:19","modified_gmt":"2017-07-12T15:55:19","slug":"data-driven-medicine-the-role-of-ai-in-cancer-diagnostics-technology-networks-blog","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/molecular-medicine\/data-driven-medicine-the-role-of-ai-in-cancer-diagnostics-technology-networks-blog.php","title":{"rendered":"Data-Driven Medicine: The Role of AI in Cancer Diagnostics &#8211; Technology Networks (blog)"},"content":{"rendered":"<p><p>  Dr. Jurgi Camblong, CEO and Co-founder, SOPHiA GENETICS<\/p>\n<p>    Liquid biopsies are a growing area of interest for cancer    diagnostics, offering a number of advantages over traditional    methods. However, before more widespread adoption of these    tools is seen in hospitals, there is a need for a more    standardized approach to testing. One possible solution to help    overcome this challenge, is SOPHiA, a recently introduced    artificial intelligence platform.<\/p>\n<p>        To find out more about SOPHiA, the benefits it offers, and the    role that AI could play in the future of healthcare, we spoke    to Dr. Jurgi Camblong, CEO and co-founder of SOPHiA GENETICS.  <\/p>\n<p>    Can you tell us about some of the advantages liquid biopsies    offer over more traditional tissue biopsies?<\/p>\n<p>    Liquid biopsy is a new paradigm. Compared to tissue    biopsies, liquid biopsies allow clinicians to perform analysis    of solid tumors and hematological malignancies at various time    points to detect tumor progression and monitor treatments    effectiveness. Also, a liquid biopsy tends to be more accurate    than a tissue biopsy as they offer a more comprehensive picture    of the spread or remission of a cancer. To sum-up, liquid    biopsies allow clinicians to have several different analyses    run over time in one blood sample and adapt treatments    accordingly. For patients, this new approach represents a    faster and less invasive alternative to existing    solutions.  <\/p>\n<p>    What has been responsible for the lack of widespread    adoption of liquid biopsies in the clinic so far?  <\/p>\n<p>    The lack of a standardized accurate and unbiased analytical    solution able to take into account low ctDNA levels has for a    long time been the main significant barrier to the widespread    adoption of liquid biopsies in hospitals.  <\/p>\n<p>    Can you tell us a little about SOPHiAand how it    can help overcome some of these limitations?  <\/p>\n<p>    Our new application for liquid biopsy taps the    analytical power of our artificial intelligence SOPHiA to help    clinicians diagnose, treat, and monitor cancer earlier and more    effectively by looking at circulating tumor DNA (ctDNA)    contained in patients liquid samples such as blood, urine, and    cerebral spinal fluid. SOPHiA solves the existing challenges in    liquid biopsy by offering a standardized DNA analysis approach    to liquid biopsy testing, built upon the network of over 300    hospitals from 51 countries already using SOPHiA for genomic    data analysis.  <\/p>\n<p>        Even with low ctDNA levels, SOPHiA provides indispensable    insights into tumors profiles, straight from liquid samples.    Rather than waiting for months to detect changes on an imaging    scan, SOPHiA allows clinicians to monitor a tumors progression    with remarkable precision from a simple blood test. Faster and    more accurate analysis eliminates undue anxiety resulting from    biased answers and unclear response to heavy treatments, making    regular status-checks less stressful and painful for patients.    To facilitate the interpretation of all the genetic variants    detected by SOPHiA in ctDNA, the analysis results are presented    in the companys OncoPortal, an interface dedicated to solid    tumors and hematological malignancies, which experts can access    on the companys online analytical platform, SOPHiA    DDM. OncoPortal flags associations between human    gene variants, disease causality, progression, drug efficacy,    and toxicity to help the clinicians better leverage the data    analyzed by SOPHiA in order to provide personalized care to    patients.  <\/p>\n<p>    SOPHiA's application for liquid biopsies is also available for    clinical trials, making it possible to identify the patients    most likely to benefit from new treatments.<\/p>\n<\/p>\n<p>    How important do you think Data-Driven    Medicinewill be in the future of    healthcare?  <\/p>\n<p>        Thanks to AI, Data-Driven Medicine will play a key role to    ensure treatments are targeted and personalized for each    patient, building on the thousands of previous patient cases we    will have analyzed. By 2020, our goal for SOPHiAis to    have participated in diagnosing 1 million patients. By then, we    should have succeeded in ensuring that patients get access to    the best treatments, not based on clinical trials but rather    building on evidence-based medicine.  <\/p>\n<p>        Moving forward, SOPHiA will ultimately be used to target    treatments, based on the value and benefits they have    previously proven to bring to patients. In healthcare,    SOPHiAalready participated in delivering on several    milestones highlighted in President Obama Precision Medicine    Initiative, i.e. connect hospitals, pool molecular data and    share knowledge. To date, we have helped diagnose over 115,000    patients. The next step is now to expand our knowledge base and    head towards a future of real time epidemiology. An era when we    can monitor treatments almost real time within patients    cohorts and where we will be able to say that one particular    patients cancer is identical to 10,000 other patients, who had    received treatment plan A and survived. SOPHiAGENETICS    already put the infrastructure in place and democratized the    approach. The next step is to have access to more and different    types of data and metadata to expand our knowledge base and    fully leverage SOPHiAAI technology for Data-Driven    Medicine.  <\/p>\n<p>    Next we spoke to Professor La Payen-Gay, co-investigator of    the CIRCAN program at the Hospices Civils de Lyon Laboratory,    to learn more about CIRCAN and the benefits that    SOPHiAhas brought to the program.  <\/p>\n<p>        Can you tell us about the CIRCAN program?  <\/p>\n<p>    The CIRCAN (CIRculating CANcer) program is a comprehensive    research program on liquid biopsy developed at the Hospices    Civils of Lyon, with the support of the Cancer institute of the    Hospices Civils of Lyon. Samples are collected within the    framework of the CIRCAN study, which is a prospective and    retrospective programs established to setup the analysis of    circulating biomarkers. Primary and metastatic patients are    included at diagnosis and during progression for NSCLC, colon    cancer, etc. The program hosts Next Generation Sequencing,    BEAMing and Digital PCR (BioRad) optimized for cfDNA analysis    and circulating tumoral cells (CTCs).  <\/p>\n<p>    How is SOPHiAbeing used in the program, and    what benefits has it brought?  <\/p>\n<p>    The Hospices Civils de Lyon, which is the    second-oldest teaching hospital in France, is an early adopter    of SOPHiAfor liquid biopsies. We use this cutting edge    technology to analyze samples directly within the hospital    after ctDNA has been sequenced. For us, SOPHiAmakes it    easy to carry out a molecular profile for patients. It helps us    find relevant models in certain cancers so that we locate    mutations that can serve as predictive biomarkers to help us    choose therapies. SOPHiAmakes it easier for us to detect    multiple mutations from small fragments of ctDNA. We can run    different analyses from one blood sample and personalize the    treatment. This approach tends to be more accurate than a    tissue biopsy, since the latter is just a sample from one area    and not a full representation of a disease. It also reduces    stress on patients and can lower costs by avoiding invasive    biopsies and inappropriate drug choices.  <\/p>\n<p>        How much of a role do you think artificial intelligence will    play in the future of cancer diagnosis?  <\/p>\n<p>    I think AI will play a key role to ensure treatments are    targeted and personalized for each patient and oncology should    be the first disease area to benefit from this technological    advance.  <\/p>\n<p>        Dr. Camblong and Professor Payen-Gay were speaking to    Anna MacDonald, Editor for Technology Networks.  <\/p>\n<p>    You can find out more from @JurgiCamblong and @SOPHiAGENETICS  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Excerpt from:<\/p>\n<p><a target=\"_blank\" href=\"https:\/\/www.technologynetworks.com\/tn\/blog\/data-driven-medicine-the-role-of-ai-in-cancer-diagnostics-290293\" title=\"Data-Driven Medicine: The Role of AI in Cancer Diagnostics - Technology Networks (blog)\">Data-Driven Medicine: The Role of AI in Cancer Diagnostics - Technology Networks (blog)<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Dr. Jurgi Camblong, CEO and Co-founder, SOPHiA GENETICS Liquid biopsies are a growing area of interest for cancer diagnostics, offering a number of advantages over traditional methods. However, before more widespread adoption of these tools is seen in hospitals, there is a need for a more standardized approach to testing.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/molecular-medicine\/data-driven-medicine-the-role-of-ai-in-cancer-diagnostics-technology-networks-blog.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[26],"tags":[],"class_list":["post-227254","post","type-post","status-publish","format-standard","hentry","category-molecular-medicine"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/227254"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=227254"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/227254\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=227254"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=227254"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=227254"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}