Bonnie Berger: AI Cures Drug Discovery Conference

Marinka Zitnik: AI Cures Drug Discovery Conference

Maksym Korablyov: AI Cures Drug Discovery Conference

Jian Tang: AI Cures Drug Discovery

Conference

David Gifford: AI Cures Drug Discovery

Conference

Caroline Uhler: AI Cures Drug Discovery Conference

Wengong Jin: AI Cures Drug Discovery

Conference

Kyle Swanson and Jonathan Stokes: AI Cures Drug Discovery Conference

Rafael Gomez Bombarelli: AI Cures Drug Discovery Conference

New Directions for COVID Drug Discovery Panel:

AI Cures Drug Discovery Conference

Inequities in Access to Medical Care and Health Outcomes Panel

Dimitris Bertsimas, “Optimized Prediction of Mortality for Liver Transplant Allocation"

Irene Chen, "Beyond Bias Audits: Bringing Equity to the Entire Machine Learning Pipeline"

Collin Stultz, "Identifying Bias in Treatment Decisions"

AI Solutions for Addressing Inequity in Breast Cancer Care

Jameel Clinic x Wellcome Trust: Building Trustworthy Clinical AI

Aleksander Mądry, "Data (Really) Matters"

Marzyeh Ghassemi, “Exploring Healthy Models in ML For Health”

Anthony Philippakis, "A Data Platform for Public Health"

Policy Implications and Equity Considerations Panel

Dina Katabi, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

Dimitris Bertsimas, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

Collin Stultz, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

Constance Lehman, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

Yonina Eldar, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

Asu Ozdaglar, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

John Guttag, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

Open Problems in Patient Care and New AI Opportunities Panel, AI Cures Conference: Data-driven Clinical Solutions for COVID-19

Jameel Clinic PI '20: Shaping the Future of

Disease Diagnostics

Jameel Clinic PI ’20: Contactless Monitoring of COVID-19 with Radio Signals

Jameel Clinic PI ’20: iBOCA: A Machine Learning App for Early Detection of Cognitive Impairment

Jameel Clinic PI ’20: Deep Learning of Peptide Representations

Jameel Clinic PI ’20: Harnessing Signals of

Clinical Effectiveness From EHR Data

Jameel Clinic PI ’20: ML Methods for Screening

& Designing Better Therapeutic Molecules

Jameel Clinic PI ’20: Deep Learning for Home-based Ultrasonic Screening of Pelvic Organs

Jameel Clinic PI ’20: Fast, Structured Clinical Documentation via Contextual Autocomplete

Jameel Clinic PI ’20: Causal Experimentation and Modeling with Uncertain Disease Labels

Jameel Clinic PI ’20: AI/ML in Clinical Mental Health: Depression, Bipolar Disorder, and Anxiety

Jameel Clinic PI ’20: Tracking Irregular Red Blood Cell Shapes for Human Diseases with DL

Jameel Clinic PI ’20: Improving the Accuracy of Personalized ML to Monitor Depression

Jameel Clinic PI ’20: Project InCyte: Enhancing Histopathological Diagnosis with Digitization / ML

Jameel Clinic PI ’20: DL System to Identify Combinatorial MEG & PET-based Biomarkers for Alz

Jameel Clinic PI ’20: ML based Non-Invasive Ultrasound Device to Monitor Blood Pressure

Jameel Clinic PI ’20: CryoDRGN

​

Active Disruption in Pharma | Mathai Mammen |

MIT AIDM Conference, Jameel Clinic