Machine Learning in Medicine

2020 Fall | 2021 Spring | 2021 Fall | 2022 Spring | 2022 Fall | 2023 Spring | 2023 Fall | 2024 Spring

Medicine is complex and data-driven and discovery and decision making are increasingly enabled by machine learning. Machine learning has the potential to support, enable and improve medical discovery and clinical decision making in areas such as medical imaging, cancer diagnostics, precision medicine, clinical trials, and electronic health records. This seminar series focuses on new algorithms, real-world deployment, and future trends in machine learning in medicine. It will feature prominent investigators who are developing and applying machine learning to biomedical discovery and in clinical decision support.

Date	Topic	Speaker	Institution
January 25, 2023 Wednesday 3:00 PM - 4:00 PM EST Hosted by Pitt/UPMC	Beyond Bias Audits: Bringing Equity to the Machine Learning Pipeline Recording of presentation	Irene Y. Chen	UC Berkeley
February 8, 2023 Wednesday 3:00 PM - 4:00 PM EST Hosted by UofT	Health Disparities From Epidemiological and Clinical Perspectives Recording of presentation	Yuan Luo	Northwestern University
February 22, 2023 Wednesday 3:00 PM - 4:00 PM EST Hosted by BU	Bias in Medical Studies in the Age of Large-Scale Models Recording of presentation	Ehsan Adeli	Stanford University
March 8, 2023 Wednesday 3:00 PM - 4:00 PM EST Hosted by Pitt/UPMC	Single-cell Data Science Applied for Cancer Treatment and Prognosis Prediction (No recording)	Lana Garmire	University of Michigan
March 22, 2023 Wednesday 3:00 PM - 4:00 PM EDT Hosted by UofT	Democratizing Data-Driven Biology to Unravel Complex Diseases Mechanisms Recording of presentation	Arjun Krishnan	University of Colorado Anschutz Medical Campus
April 7, 2023 Friday 11:00 AM - 12:00 Noon EDT Hosted by BU	AI for Digital Health: A Full-Stack Health Data Science Perspective Recording of presentation	Fei Wang	Weill Cornell Medicine
April 19, 2023 Wednesday 3:00 PM - 4:00 PM EDT Hosted by Pitt/UPMC	Artificial Intelligence and Computational Imaging: Opportunities for Precision Medicine Recording of presentation	Pallavi Tiwari	University of Wisconsin-Madison
May 3, 2023 Wednesday 3:00 PM - 4:00 PM EDT Hosted by UofT	Deep Learning-Based Recurrent Prediction of Delirium in the Intensive Care Unit Recording of presentation	Joon Lee	University of Calgary
May 4, 2023 Thursday 3:00 PM - 4:00 PM EDT Hosted by BU	Understanding Brain Network Modulation Recording of presentation	Dani S. Bassett	University of Pennsylvania
May 17, 2023 Wednesday 3:00 PM - 4:00 PM EDT Hosted by BU	Extending a Causal Analysis Suite for Health Analyses: Capturing and Validating Critical Assumptions Recording of presentation	Emre Kiciman	Microsoft Research
May 31, 2023 Wednesday 3:00 PM - 4:00 PM EDT Hosted by Pitt/UPMC	Studying the Mechanisms of Alzheimer's Disease Progression with Deep Learning (No recording)	Eran Dayan	University of North Carolina
June 14, 2023 Wednesday 3:00 PM - 4:00 PM EDT Hosted by UofT	Reliability of Deep Learning in Medical Image Analysis Recording of presentation	Pingkun Yan	Rensselaer Polytechnic Institute