Applications of AI for the prevention, diagnosis and treatment of diseases is an active area of research and commercial activity. The on-going public health crisis caused by COVID-19 provides ample opportunities for leveraging these emerging technologies. Large amounts of data pertaining to all aspects of the disease are collected continuously, at the level of individual patients, hospitals and countries. The open question is whether this data was translated into better treatment plans, more effective disease detection, or greater intervention policies. At this conference, we are aiming to answer this question by bringing together AI researchers who develop novel methods targeting COVID-19 and clinicians who utilize them in patient care.
Areas of Focus
Welcome & About Jameel Clinic and SCC Dan Huttenlocher, Regina Barzilay
AI for Detection and Monitoring
Session Chair: Dimitris Bertsimas
• Jim Collins, "Harnessing Synthetic Biology and DL to Address the COVID-19 Pandemic"
• Dina Katabi, "Short and Long Term Impact of COVID-19 on Older Patients"
• Yonina Eldar, "Point of Care Image Analysis for COVID-19"
• Dimitris Bertsimas, "Predictive and Prescriptive Analytics for the COVID-19 Pandemic"
• Asu Ozdaglar, "Optimal Adaptive Testing: Detection and Nowcasting"
AI for Clinical Management
Session Chair: David Sontag
• Collin Stultz, "Predicting Respiratory De-compensation in Patients with COVID-19"
• John Guttag, "Modeling the Role of Asymptomatic Carriage of Infectious Disease"
• Constance Lehman, "Clinical Implementation of AI Tools to Reduce Disparities and Increase Access in Peri-pandemic Times"
Panel: Open Problems in COVID Patient Care and New Opportunities for AI Solutions
Moderator: Regina Barzilay
Participants: Gabriella Antici (Protea Institute), Rajesh Gandhi (MGH), Guillermo Torre (TEC Salud), Karen Wong (CDC)