{"id":32860,"date":"2020-05-20T11:11:28","date_gmt":"2020-05-20T15:11:28","guid":{"rendered":"https:\/\/cifar661.wpengine.com\/?page_id=32860"},"modified":"2025-12-17T06:52:27","modified_gmt":"2025-12-17T11:52:27","slug":"table-ronde-internationale-sur-lia-et-la-covid-19","status":"publish","type":"page","link":"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/","title":{"rendered":"Table ronde internationale sur l\u2019IA et la COVID-19"},"content":{"rendered":"\r\n\r\n\t\t\t<h2>\r\n\t\t\tSuivez-nous\t\t<\/h2>\r\n\t\t<button class='connect square balloon white-transparent facebook left' data-url='https:\/\/www.facebook.com\/CIFAR\/' aria-haspopup=\"false\"   aria-label='Suis nous surFaceBook' data-balloon-pos='right'>\r\n\t\t\tFaceBook\r\n\t\t<\/button>\r\n\t\t<button class='connect square balloon white-transparent twitter' data-url='https:\/\/twitter.com\/cifar_news' aria-haspopup=\"false\"   aria-label='Suis nous surTwitter' data-balloon-pos='right'>\r\n\t\t\tTwitter\r\n\t\t<\/button>\r\n\t\t<button class='connect square balloon white-transparent youtube left' data-url='https:\/\/www.youtube.com\/channel\/UCZj1nnTIiutUjEg-22e8UTA' aria-haspopup=\"false\"   aria-label='Suis nous surYouTube' data-balloon-pos='right'>\r\n\t\t\tYouTube\r\n\t\t<\/button>\r\n\t\t<button class='connect square balloon white-transparent linkedin' data-url='https:\/\/ca.linkedin.com\/company\/canadian-institute-for-advanced-research' aria-haspopup=\"false\"   aria-label='Suis nous surLinkedIn' data-balloon-pos='right'>\r\n\t\t\tLinkedIn\r\n\t\t<\/button>\r\n\t\t<button class='connect square balloon white-transparent instagram left' data-url='https:\/\/www.instagram.com\/cifar.ca_fr\/' aria-haspopup=\"false\"   aria-label='Suis nous surInstagram' data-balloon-pos='right'>\r\n\t\t\tInstagram\r\n\t\t<\/button>\r\n\r\n\t<h2>1. Introductory Remarks\u00a0<\/h2>\r\nAlan Bernstein opened the meeting by articulating its key goal: to discuss challenges in slowing and stopping the COVID-19 pandemic, and identifying where AI can play a role in addressing some of the most pressing questions.\u00a0 Peter Singer reiterated the World Health Organization&rsquo;s message about the need for rapid testing and contact tracing, in addition to physical distancing, in containing this pandemic. Samira Asma pointed out the significant gaps in the current reported data, for example, in terms of sex and age desegregation.\u00a0 Mona Nemer emphasized the importance of articulating what kind of data is needed, the accessibility of this data for researchers, and the need for ideas and approaches on how to exit from this crisis.\r\n<h2 dir=\"ltr\">2. Theme: Public Health\/Mathematical Modelling\u00a0<\/h2>\r\nThe group identified that lack of access to high-quality, high-dimensional data was a major limitation of research right now.\u00a0 We need to be collecting and curating much larger and multi-dimensional data sets and sharing those internationally and we need to address the policy issues around the use of those data sets for research and health system planning.\r\nTwo broad families of data are currently needed: 1) epidemiological data, to understand how the disease spreads (stratified by sex, age, location, etc.); and 2) clinical data, to understand how cases evolve, so we can better plan for resource allocation within healthcare systems. This includes disaggregated anonymized case history, comorbidities, etc. One challenge is the types of data that are needed for countries at different stages of the epidemiological curve; the needs can change quickly.\r\nWHO is considering refreshing its data sharing policy and what should be the global standard in such an emergency situation.\r\nTesting needs to be done in a much more comprehensive way, massively scaled up across Canada and around the world. Data on things such as the number of positive and negative test results need to be collected and made available in order to get closer to an idea about population-level trends of this pandemic.\r\nA priority right now is to couple the prediction modelling of the disease dynamic with our health system capacity. The choke point for most health systems is ICU bed capacity, and our healthcare systems will drown quite quickly in the face of exponential growth in the spread of the virus.\u00a0 There is a stark gap between the data that is available to governments and what is available to epidemiologists and modellers. A secondary concern is surveillance &#8212; how do we keep tracking the disease when we know we are not able to test everyone? This data will be important for a cyclical strategy where we can press the \u00ab\u00a0gas pedal\u00a0\u00bb on and off for measures such as physical distancing.\u00a0 Predictive models to, for example, quantify where testing is needed will be critical in the next 2-12 months.\r\nIt is estimated that many countries are currently reporting less than 20% of their symptomatic cases, so there needs to be a way to track mild community cases. This kind of real-time data will be useful for designing peer-to-peer AI apps for contact tracing and maybe even to encourage behavioural change to reduce risk. Singapore has now rolled out an app for contact tracing, which would be worthwhile to be modified and deployed globally as soon as possible.\r\nAI could help for the following public health purposes:\r\n<ul>\r\n<li dir=\"ltr\">\r\nDisease surveillance &#8211; how can we track disease activity (beyond testing) during social distancing to reduce ICU burden\r\n<\/li>\r\n<li dir=\"ltr\">\r\nCase prediction models &#8211; the likelihood of someone having COVID before test results are available, to help with prioritizing patient beds\r\n<\/li>\r\n<li dir=\"ltr\">\r\nMortality risk &#8211; for example, to decide which patients should be prioritized for ventilators\r\n<\/li>\r\n<li dir=\"ltr\">\r\nAssessing clinical displacement &#8211; what is the impact on patients who are not receiving clinical care for other illnesses during this pandemic and what are the implications over the increasingly longer term\r\n<\/li>\r\n<li dir=\"ltr\">\r\nTracking how patients can be moved between different health regions or hospitals based on different demands \/ system stress\r\n<\/li>\r\n<\/ul>\r\nThere is a need to look beyond traditional public health data in central repositories to \u00ab\u00a0non-traditional\u00a0\u00bb data such as surveys (to ask if people are changing their behaviour) or Big Data from apps such as Citymapper. Platforms such as Facebook and Google have very high resolution data on user location and movement, but there are current legal and privacy hurdles that prevent the sharing of such data. Some platforms such as Google TakeOut and Uber allow users to download their own data and voluntarily share with researchers &#8212; this could be a useful model. Other possibilities that may be worth exploring include programming digital assistants such as Alexa to use cough as a wake word, or to geotag internet searches as a symptom checker, but all of these have legal and ethical issues that need to be tackled.\r\nOrganizations such as CIFAR and NSERC want to help as much as possible with these initiatives and coordinate and connect researchers in public health, AI, mathematical modelling, etc.\r\nBy the end of this week, Element AI will provide full-text access to the recent CORD-19 dataset within a (beta) semantic search engine front-end developed internally, to allow researchers to identify similarities across articles or individual research results. Their goal is to then progressively integrate additional unstructured and structured datasets to this engine, and enable asking natural language questions against them.\r\nIn South Korea, there were difficult questions initially about how to organize data for immediate intervention and future planning. When cases began to skyrocket, the central health authorities had no capacity to coordinate, but data (such as those on mortality) from different sites are now linked. Interdisciplinary researchers are beginning to analyze this data using models, to inform diagnostic practice and the best way to handle patients in critical condition.\r\nSerological tests based on antibodies with rapid turnaround (10-15 min) are about to be rolled out, first in South Korea. A better understanding of immunity will help with predicting a second wave of the disease, as well as potentially to identify an immune cohort of health workers.\r\n<h2 dir=\"ltr\">3. Theme: Biology, Drug and Vaccine Development\u00a0\u00a0<\/h2>\r\nFrom the industry perspective, several vaccine candidates are currently being studied at an accelerated pace, but it will still take 12-18 months to deploy to the population. Helpful applications of AI for drug and vaccine development would include:\r\n<ul>\r\n<li dir=\"ltr\">\r\nPrediction models to help manufacturers accurately assess how much vaccine to manufacture to ensure equitable access and the right number of doses to protect at-risk populations\r\n<\/li>\r\n<li dir=\"ltr\">\r\nUsing AI to unravel large\/complicated datasets that could indicate correlates of protection or biomarkers of harm\r\n<\/li>\r\n<li dir=\"ltr\">\r\nThe ability to model vaccine impact to make decisions on coverage and deployment\r\n<\/li>\r\n<\/ul>\r\nDrug cocktails have been known to be helpful in treating coronaviruses. The modelling of drug cocktails is challenging with limited methods for looking at combined data sets, so the capacity offered by AI would be very useful.\r\nThe MIT team develops AI tools designed to help identify or generate compounds against viral, bacterial or other similar threats. Regarding COVID-19 specifically, in order to contribute in the short term, their goal is to search for effective and safe therapies from among already approved drugs or those that have already passed phase 1 clinical trials. In particular, they are looking for effective combinations or cocktails of such drugs. For larger initiatives, Wellcome Trust, Mastercard &amp; Gates Foundation have launched a joint effort to accelerate the screening of therapeutics for COVID-19. Currently, only more traditional screening approaches are being used, and AI would significantly accelerate analysis of the data.\r\nA team\u00a0 headed by Al\u00e1n Aspuru-Guzik is using AI to work on the following:\r\n<ul>\r\n<li dir=\"ltr\">\r\nScaling up the production of current small molecules in pipeline (synthesis routes for them)\r\n<\/li>\r\n<li dir=\"ltr\">\r\nDeveloping surface coatings and new soaps to remove the virus\r\n<\/li>\r\n<li dir=\"ltr\">\r\nAttacking a specific receptor\r\n<\/li>\r\n<\/ul>\r\nGerry Wright from McMaster University and Michael Tyers from Universit\u00e9 de Montr\u00e9al have been working with Yoshua Bengio to apply AI toward drug development. Ways that AI may contribute to drug development include chemical structural modelling to build compounds; interrogation of genetic or protein-protein interactions; and correlation of clinical and cellular data to study off-target effects and adverse reactions.\r\nJEDI (Joint European Disruptive Initiative) is preparing a competition in the field of COVID-19 drug discovery that will combine molecular dynamics and machine learning.\r\nAI could also help to determine whether existing drugs can be repurposed.\u00a0 Anti-inflammatory drugs may be effective in reducing the mortality from pneumonia. Clinical trials with several IL-6 inhibitors are currently ongoing or being planned, but the benefit or harm will be unclear until then (e.g., corticosteroids were used against SARS, but were later found to be harmful).\r\nWe can make an effort to understand coronavirus and treatment from domestic animals and other animal models, including Rhesus macaques, which are recapitulating the disease much like humans.\r\nA team led by Bo Wang is collaborating with researchers at Sunnybrook Hospital who have isolated SARS-CoV2 viral particles to study the genetics of the virus, trace transmission and predict mutations that may lead to a second wave of the infections.\r\nA current major limitation is synthetic chemistry capacity, as many university labs are currently closed and unable to produce and examine potential treatments. Individual universities and funding agencies are examining the possibility of reopening some labs and mobilizing research. The Chief Science Advisor of Canada will be discussing this with the U15 universities.\r\n<h2 dir=\"ltr\">4. Theme: Clinical Trials Design\u00a0<\/h2>\r\nThe WHO announced a large global trial, called Solidarity, to find out whether any promising existing medications (including antivirals, interferon beta, and chloroquine) work against COVID-19.\u00a0 Participants of this group are encouraged to think about how AI can help in this effort.\r\nOne difficulty with extrapolating from clinical trials in the Global South to countries with G7-type demographics is their younger population distributions, which may be affecting disease severity. However, it is currently unclear if this age distribution of COVID-19 cases being observed right now is due to the distribution of comorbidity (such as chronic diseases, smoking). AI could be helpful in teasing these factors apart. Machine learning can also help with tackling effect heterogeneity in clinical trial design.\r\n<h2 dir=\"ltr\">5. Theme: Health System Capacity and Resilience<\/h2>\r\nWhen looking at regions that seem to have made better progress in containing COVID-19, such as South Korea, Singapore and Taiwan, we need to disentangle the relative contribution or effectiveness of different public health strategies. AI could be helpful in teasing these apart, for example, by analyzing between-region variability.\r\nAI could be used to optimize patient intake, queuing and circuit\/flow within hospitals to avoid contamination of non-COVID-19 patients. AI can also be useful for high-resolution modelling for resource planning by hospitals &#8212; not just for physical resources such as PPEs, but also for scheduling for doctors and nurses to avoid burnout. Another potential application of AI may be to help in understanding the global supply of testing &#8212; sourcing of reagents, transportation, prediction of surges in demand, etc.\r\n<h2 dir=\"ltr\">6. Policy Implications<\/h2>\r\nThe participants of this working group came to a consensus that access to data is critical. \u00a0 One key issue is to balance privacy concerns with the benefits of having real-time data on the whereabouts of individuals from companies such as Facebook and Google in an urgent emergency situation such as this one. One recommendation was opt-in with an app using existing software (e.g., Facebook, Google) and allow people to volunteer information.\u00a0 This is a conversation that will need to involve ethicists as well as legal and policy experts.\r\nPolicy and health systems experts at the Roundtable also pointed out the importance for researchers to engage with public health organizations and health ministries about their actual needs at this time. Economics is also another area of concern, and data is needed for devising an exit strategy from this crisis.\r\n<h2 dir=\"ltr\">7. Next Steps<\/h2>\r\nCIFAR will invite call participants and others to join sub-committees to work together.\u00a0 One area of interest is drafting a statement emphasizing the importance of sharing COVID-19 data across nations and organizations and working collectively to accelerate progress toward fighting this pandemic.\r\nAn AI COVID-19 Briefing for Canadian policy-makers on the outcomes of today&rsquo;s Roundtable is taking place on March 24th from 1-2pm EDT and attendees of this working group are welcome to join.\r\nIf there are collaborations that arise from today&rsquo;s meeting, attendees are encouraged to keep CIFAR informed and should not hesitate to make a funding request.\r\nCIFAR will coordinate future calls and meetings and will administer a survey to determine frequency of future meetings, additional invitees, and possible sub-committee participation.\r\n<h2 dir=\"ltr\">8. Resources Identified by Roundtable Participants<\/h2>\r\n<a href=\"https:\/\/www.straitstimes.com\/singapore\/coronavirus-spore-government-to-make-its-contact-tracing-app-freely-available-to\">Singapore contact-tracing app TraceTogether<\/a>\r\n<a href=\"https:\/\/docs.google.com\/document\/d\/1xx5ePG-jjYng6RLcwZJzZzwulYeIEU0RAdGWMDbGOls\/edit\">Yoshua Bengio: Peer-to-peer AI-based tracing of COVID-19<\/a>\r\n<a href=\"https:\/\/www.who.int\/publishing\/datapolicy\/en\/\">WHO data sharing policy<\/a>\r\n<a href=\"https:\/\/cdac.uchicago.edu\/\">Center for Data and Computing &#8211; has existing partnerships providing data for developing apps for mobility tracing, happy to collaborate<\/a>\r\nCrowdsourced symptom report and tracking sites:<br \/>\r\n<a href=\"http:\/\/covidnearyou.com\/\">covidnearyou.com<\/a>\u00a0(USA)<br \/>\r\n<a href=\"http:\/\/www.flatten.ca\/\">flatten.ca<\/a>\u00a0(Canada)\r\n<a href=\"http:\/\/ncov.mohw.go.kr\/en\/\">Updated COVID info from Korea<\/a>\r\n<a href=\"https:\/\/cmmid.github.io\/topics\/covid19\/severity\/global_cfr_estimates.html\">Adam Kucharski: Rough initial estimates of case under-testing\/reporting<\/a>\r\n<a href=\"https:\/\/www.statnews.com\/2020\/03\/10\/125m-effort-to-find-coronavirus-drugs-started-by-gates-foundation-wellcome-and-mastercard\/\">Gates &#8211; Wellcome &#8211; Mastercard initiative for coronavirus therapeutics screening\u00a0<\/a>\r\n<a href=\"https:\/\/www.sciencemag.org\/news\/2020\/03\/who-launches-global-megatrial-four-most-promising-coronavirus-treatments\">WHO Solidarity trial<\/a>\r\n<a href=\"https:\/\/www.wsj.com\/articles\/how-south-korea-solved-its-acute-hospital-bed-shortage-11584874801?mod=searchresults&amp;page=1&amp;pos=1\">South Korea hospital bed triage<\/a>\r\n<a href=\"https:\/\/www.nytimes.com\/interactive\/2020\/03\/23\/opinion\/coronavirus-economy-recession.html\">Economic impact of social distancing \/ WFH<\/a>\r\n<p><a href=\"https:\/\/www.aicures.mit.edu\/\">MIT initiative on drug discovery<\/a><\/p>\r\n\r\n<hr \/>\r\n<h2>Appendix A: Participants in the Roundtable<\/h2>\r\n<strong>Alejandro Adem<br \/>\r\n<\/strong>NSERC<br \/>\r\nPresident\r\n<strong>Samira Asma<br \/>\r\n<\/strong>World Health Organization<br \/>\r\nAssistant Director-General for the Data, Analytics and Delivery for Impact Division\r\n<strong>Al\u00e1n Aspuru-Guzik<br \/>\r\n<\/strong>University of Toronto; Vector Institute<br \/>\r\nProfessor of Chemistry and Computer Science; CIFAR Lebovic Fellow Bio-inspired Solar Energy Program;<br \/>\r\nCanada CIFAR AI Chair, Vector Institute;<br \/>\r\nCanada 150 Research Chair in Theoretical Chemistry\r\n<strong>Regina Barzilay<br \/>\r\n<\/strong>Delta Electronics Professor of Electrical Engineering and Computer Science, Faculty Co-lead of J-Clinic,<br \/>\r\nMIT Initiative for machine learning in health\r\n<strong>Marc Bellemare<br \/>\r\n<\/strong>Google; McGill University; Mila<br \/>\r\nResearch Scientist; Adjunct Professor; Canada CIFAR AI Chair\r\n<strong>Yoshua Bengio<br \/>\r\n<\/strong>Universit\u00e9 de Montr\u00e9al; Mila; CIFAR<br \/>\r\nProfessor, Department of Computer Science and Operations Research; Scientific Director; ACM Turing Award Laureate; Canada CIFAR AI Chair, Program Co-Director of the Learning in Machines &amp; Brains Program\r\n<strong>Alan Bernstein<br \/>\r\n<\/strong>CIFAR<br \/>\r\nPresident &amp; CEO\r\n<strong>John Brownstein<\/strong><br \/>\r\nBoston Children&rsquo;s Hospital\/Harvard Medical School<br \/>\r\nChief Innovation Officer\/Professor\r\n<strong>Sean Caffrey<\/strong><br \/>\r\nUniversity of Toronto<br \/>\r\nExecutive Director, Strategic Initiative Development, Office of the VP Research &amp; Innovation\r\n<strong>Nick Cammack<\/strong><br \/>\r\nWellcome<br \/>\r\nHead of Snakebite Priority Area\r\n<strong>Masha Cemma<\/strong><br \/>\r\nOffice of Canada&rsquo;s Chief Science Advisor<br \/>\r\nPolicy Advisor\r\n<strong>Nicolas Chapados<\/strong><br \/>\r\nElement AI<br \/>\r\nChief Scientist\r\n<strong>Dan Drexler<\/strong><br \/>\r\nKlick Health<br \/>\r\nManaging Director\r\n<strong>Audrey Durand<\/strong><br \/>\r\nUniversit\u00e9 Laval\/Mila<br \/>\r\nAssistant Professor in Computer Science and Software\/Computer\/Electrical Engineering; Canada CIFAR AI Chair\r\n<strong>Rosalind Eggo<\/strong><br \/>\r\nLondon School of Hygiene and Tropical Medicine<br \/>\r\nAssistant Professor\r\n<strong>Kim Elmslie<\/strong><br \/>\r\nPublic Health Agency of Canada<br \/>\r\nVice-President\r\n<strong>Tim Evans<\/strong><br \/>\r\nMcGill University<br \/>\r\nInaugural Director and Associate Dean of the School of Population and Global Health (SPGH) in the Faculty of Medicine and Associate Vice-Principal (Global Policy and Innovation)\r\n<strong>Rebecca Finlay<\/strong><br \/>\r\nCIFAR<br \/>\r\nVP, Engagement &amp; Public Policy\r\n<strong>Rita Finley<\/strong><br \/>\r\nPublic Health Agency of Canada<br \/>\r\nSenior Policy Advisor\r\n<strong>David Fisman<\/strong><br \/>\r\nDalla Lana School of Public Health ,University of Toronto, University Health Network<br \/>\r\nProfessor, Division of Epidemiology\r\n<strong>Matthew German<\/strong><br \/>\r\nBlueDot<br \/>\r\nDirector, Product Innovation\r\n<strong>Marzyeh Ghassemi<\/strong><br \/>\r\nUniversity of Toronto, Vector Institute<br \/>\r\nAssistant Professor, Computer Science and Medicine; Canada CIFAR AI Chair\r\n<strong>Garth Gibson<\/strong><br \/>\r\nVector Institute<br \/>\r\nPresident and CEO<br \/>\r\n<strong><br \/>\r\nNick Jackson<\/strong><br \/>\r\nCoalition for Epidemic Preparedness Innovations<br \/>\r\nHead of Programs and Technology, Vaccine R&amp;D\r\n<strong>Kamran Khan<\/strong><br \/>\r\nBlueDot<br \/>\r\nFounder &amp; CEO\r\n<strong>Douglas Kingsford<\/strong><br \/>\r\nBritish Columbia Ministry of Health<br \/>\r\nChief Medical Information Officer\r\n<strong>Yann LeCun<\/strong><br \/>\r\nFacebook; New York University; CIFAR<br \/>\r\nVP and Chief AI Scientist;<br \/>\r\nSilver Professor of Computer Science, Data Science, Neural Science, and Electrical and Computer Engineering; ACM Turing Award Laureate; Program Co-Director of the Learning in Machines &amp; Brains Program\r\n<strong>Gabriel Leung<\/strong><br \/>\r\nHong Kong University<br \/>\r\nDean of Medicine\r\n<strong>Arnie Levine<\/strong><br \/>\r\nInstitute for Advanced Study<br \/>\r\nThe Simons Center for Systems Biology<br \/>\r\nProfessor Emeritus;<br \/>\r\nSchool of Natural Sciences, Biology\r\n<strong>Cam Linke<\/strong><br \/>\r\nAmii<br \/>\r\nCEO\r\n<strong>Joanne Liu<\/strong><br \/>\r\nDoctors Without Borders<br \/>\r\nPast President\r\n<strong>Muhammad Mamdani<\/strong><br \/>\r\nSt. Michael&rsquo;s Hospital<br \/>\r\nDirector, Li Ka Shing Centre for Healthcare Analytics Research and Training (CHART)\r\n<strong>Leslie McCarley<\/strong><br \/>\r\nCIFAR<br \/>\r\nVice-President, Advancement\r\n<strong>Sara Mostafavi<\/strong><br \/>\r\nUniversity of British Columbia; Vector Institute<br \/>\r\nAssistant Professor, Statistics &amp; Medical Genetics; Canada CIFAR AI Chair, CIFAR Fellow in Child &amp; Brain Development Program\r\n<strong>Mona Nemer<\/strong><br \/>\r\nGovernment of Canada<br \/>\r\nChief Science Advisor\r\n<strong>Nathaniel Osgood\u00a0<\/strong><br \/>\r\nUniversity of Saskatchewan<br \/>\r\nProfessor, Department of Computer Science<br \/>\r\nAssociate Faculty, Department of Community Health &amp; Epidemiology<br \/>\r\nAssociate Faculty, Bioengineering Division\r\n<strong>Marc-Etienne Ouimette<\/strong><br \/>\r\nElement AI<br \/>\r\nHead, Public Policy and Government Relations\r\n<strong>Antoine Petit<\/strong><br \/>\r\nCentre National de la Recherche Scientifique<br \/>\r\nChairman and CEO\r\n<strong>Joelle Pineau<\/strong><br \/>\r\nFacebook; McGill University; Mila<br \/>\r\nLead, Facebook&rsquo;s Artificial Intelligence Research lab; Associate Professor and William Dawson Scholar at the School of Computer Science; Canada CIFAR AI Chair\r\n<strong>Valerie Pisano<\/strong><br \/>\r\nMila<br \/>\r\nPresident and CEO\r\n<strong>Mike Poole<br \/>\r\n<\/strong>Biomatics Capital, Inc.\/ Gates Foundation<br \/>\r\nVenture Partner, previous Director, Global Health @ Gates\r\n<strong>Catherine Riddell<\/strong><br \/>\r\nCIFAR<br \/>\r\nVice-President, Strategic Communications\r\n<strong>Laura Rosella<\/strong><br \/>\r\nICES\/University of Toronto, Dalla Lana School of Public Health<br \/>\r\nAssistant Professor (Cross-appointment)\r\n<strong>Beate Sander<\/strong><br \/>\r\nUniversity of Toronto; University Health Network<br \/>\r\nScientist and Director of Population Health Economics Research, Toronto Health Economics and Technology Assessment Collaborative\r\n<strong>Bernhard Sch\u00f6lkopf<\/strong><br \/>\r\nMax Planck Institute for Intelligent Systems; ETH Z\u00fcrich<br \/>\r\nDirector; Department of Empirical Inference; Fellow of the CIFAR Learning in Machines &amp; Brains Program\r\n<strong>Michael Schull<\/strong><br \/>\r\nICES<br \/>\r\nPresident &amp; CEO\r\n<strong>Sebastian Seung<\/strong><br \/>\r\nPrinceton University<br \/>\r\nEvnin Professor in Neuroscience, Professor of Computer Science and Princeton Neurosciences Institute; Advisor, Learning in Machines &amp; Brains Program, CIFAR; International Scientific Advisory Council, CIFAR\r\n<strong>Peter Singer<\/strong><br \/>\r\nWorld Health Organization<br \/>\r\nSpecial Advisor to Director General\r\n<strong>Elissa Strome<\/strong><br \/>\r\nCIFAR<br \/>\r\nInterim VP Research and Executive Director, Pan-Canadian AI Strategy\r\n<strong>Shirley Tilghman<\/strong><br \/>\r\nPrinceton University<br \/>\r\nPresident of the University, Emeritus Professor of Molecular Biology and Public Affairs\r\n<strong>Ashleigh Tuite<\/strong><br \/>\r\nUniversity of Toronto<br \/>\r\nAssistant Professor, Epidemiology Division\r\n<strong>Mike Tyers<\/strong><br \/>\r\nInstitute for Research in Immunology and Cancer; Universit\u00e9 de Montr\u00e9al<br \/>\r\nPrincipal Investigator, Systems Biology and Synthetic Biology Research Unit<br \/>\r\nProfessor, Department of Medicine, Faculty of Medicine\r\n<strong>Harold Varmus<\/strong><br \/>\r\nCornell University<br \/>\r\nLewis Thomas University Professor &amp; Senior Advisor to the Dean &amp; Provost\r\n<strong>MarianVermeulen<\/strong><br \/>\r\nICES<br \/>\r\nSenior Director, Research &amp; Data\r\n<strong>Charles Victor<\/strong><br \/>\r\nICES<br \/>\r\nSenior Director, Strategic Partnerships &amp; External Services\r\n<strong>Joshua Vogelstein<\/strong><br \/>\r\nJohns Hopkins University<br \/>\r\nAssistant Professor, Institute for Computational Medicine<br \/>\r\nCenter for Imaging Science\r\n<strong>Bo Wang<\/strong><br \/>\r\nPeter Munk Cardiac Centre and the Techna Institute at the University Health Network; Vector Institute<br \/>\r\nLead Artificial Intelligence Scientist; Canada CIFAR AI Chair\r\n<strong>Gerry Wright<\/strong><br \/>\r\nMcMaster University<br \/>\r\nDirector of the Michael G. DeGroote Institute for Infectious Disease Research; Professor in the Department of Biochemistry and Biomedical Sciences; CIFAR Fellow in Fungal Kingdom: Threats &amp; Opportunities\r\n<strong>Pauline Yick<\/strong><br \/>\r\nCIFAR<br \/>\r\nChief Financial &amp; Administrative Officer\r\n<strong>Bill Young<\/strong><br \/>\r\nCIFAR Board<br \/>\r\nChair\r\n<strong>Asaph Young Chun<\/strong><br \/>\r\nStatistics Korea<br \/>\r\nDirector-General, Statistics Research Institute\r\n<strong>Rich Zemel<\/strong><br \/>\r\nUniversity of Toronto; Vector Institute<br \/>\r\nProfessor, Computer Science; Research Director\r\n\t<p><strong>Meeting Summary<\/strong><\/p>\r\nMarch 23, 2020<br \/>\r\nAttendees: See the participant list in Appendix A.\r\n<p><a href=\"https:\/\/cifar.ca\/programs\/action-on-covid-19\/\"><strong>Action on COVID-19<\/strong><\/a>\u00a0This roundtable is one of several immediate actions CIFAR has taken in the global response to COVID-19.<\/p>\r\n<p><strong><button data-href=\"https:\/\/cifar.ca\/wp-content\/uploads\/2020\/05\/international-roundtable-on-ai-and-covid-19-meeting-summarya59bd4ed64294cbd8995fd828d7d1711.pdf\" data-target=\"_blank\" rel=\"noopener\">International Roundtable on AI and COVID-19 &#8211; Meeting Summary<\/button><\/strong><\/p>\r\n<h2>\r\n\t\tSoutenez-nous\r\n\t<\/h2>\r\n\t<p>L&rsquo;Institut canadien de recherches avanc\u00e9es (CIFAR) est une organisation de recherche d&rsquo;influence mondiale fi\u00e8rement bas\u00e9e au Canada. Nous mobilisons les plus brillants personnes du monde, dans toutes les disciplines et \u00e0 tous les stades de carri\u00e8re, pour faire progresser les connaissances transformatrices et r\u00e9soudre ensemble les plus grands probl\u00e8mes de l&rsquo;humanit\u00e9. Nous recevons l&rsquo;appui des gouvernements du Canada, de l&rsquo;Alberta et du Qu\u00e9bec, ainsi que de fondations, de particuliers, d&rsquo;entreprises et d&rsquo;organisations partenaires du Canada et du monde entier.<\/p>\r\n   <!-- Mandeep add class on anchor -->\r\n\t<a href=\"https:\/\/cifar.ca\/fr\/dons\/\" target=\"_self\" rel=\"noopener\">\r\n\t\t\t\t\tDons\t\t\t\t\t\t\t\r\n\t\t\t\t\t\t<\/a>\r\n\r\n","protected":false},"excerpt":{"rendered":"<p>Suivez-nous FaceBook Twitter YouTube LinkedIn Instagram 1. Introductory Remarks\u00a0 Alan Bernstein opened the meeting by articulating its key goal: to discuss challenges in slowing and [&hellip;]<\/p>\n","protected":false},"author":65,"featured_media":32582,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-32860","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CIFAR<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Table ronde internationale sur l\u2019IA et la COVID-19 - CIFAR\" \/>\n<meta property=\"og:description\" content=\"Suivez-nous FaceBook Twitter YouTube LinkedIn Instagram 1. Introductory Remarks\u00a0 Alan Bernstein opened the meeting by articulating its key goal: to discuss challenges in slowing and [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/\" \/>\n<meta property=\"og:site_name\" content=\"CIFAR\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-17T11:52:27+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cifar.ca\/wp-content\/uploads\/2020\/05\/covid-pic-640x340-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"640\" \/>\n\t<meta property=\"og:image:height\" content=\"340\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"14 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/\",\"url\":\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/\",\"name\":\"Table ronde internationale sur l\u2019IA et la COVID-19 - CIFAR\",\"isPartOf\":{\"@id\":\"https:\/\/cifar.ca\/fr\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/cifar.ca\/wp-content\/uploads\/2020\/05\/covid-pic-640x340-1.jpg\",\"datePublished\":\"2020-05-20T15:11:28+00:00\",\"dateModified\":\"2025-12-17T11:52:27+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/#primaryimage\",\"url\":\"https:\/\/cifar.ca\/wp-content\/uploads\/2020\/05\/covid-pic-640x340-1.jpg\",\"contentUrl\":\"https:\/\/cifar.ca\/wp-content\/uploads\/2020\/05\/covid-pic-640x340-1.jpg\",\"width\":640,\"height\":340,\"caption\":\"covid pic\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Acceuil\",\"item\":\"https:\/\/cifar.ca\/fr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Table ronde internationale sur l\u2019IA et la COVID-19\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/cifar.ca\/fr\/#website\",\"url\":\"https:\/\/cifar.ca\/fr\/\",\"name\":\"CIFAR\",\"description\":\"Convoquer des esprits extraordinaires pour r\u00e9pondre aux questions les plus importantes auxquelles la science et l'humanit\u00e9 sont confront\u00e9es.\",\"publisher\":{\"@id\":\"https:\/\/cifar.ca\/fr\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/cifar.ca\/fr\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/cifar.ca\/fr\/#organization\",\"name\":\"CIFAR\",\"url\":\"https:\/\/cifar.ca\/fr\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/cifar.ca\/fr\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/cifar.ca\/wp-content\/uploads\/2020\/01\/cifar-logo-rgb-colour.png\",\"contentUrl\":\"https:\/\/cifar.ca\/wp-content\/uploads\/2020\/01\/cifar-logo-rgb-colour.png\",\"width\":1884,\"height\":681,\"caption\":\"CIFAR\"},\"image\":{\"@id\":\"https:\/\/cifar.ca\/fr\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"CIFAR","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/cifar.ca\/fr\/table-ronde-internationale-sur-lia-et-la-covid-19\/","og_locale":"fr_FR","og_type":"article","og_title":"Table ronde internationale sur l\u2019IA et la COVID-19 - CIFAR","og_description":"Suivez-nous FaceBook Twitter YouTube LinkedIn Instagram 1. 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