Machine Learning, AI, and Health Collaborations Workshop - March 21, 2024
This workshop aimed to promote collaboration between machine learning/AI researchers and researchers in public health and medicine. The objective was to offer guidance, showcase available collaboration resources, and inspire joint applications for major grants.
0:00 Opening Session by Nilanjana Laha
12:41 Keynote Presentation by Henry Fadamiro
46:31 Panel Discussion: What Makes a Cross-Disciplinary Project Successful?
1:39:07 AI Uses in Disaster Response by Jason Moats
1:54:27 Governing AI for Population Health by Cason Schmit
2:06:54 Leveraging AI for Health Promotion by Lu Tang
2:26:01 Machine Learning and Single-Cell Biology by James Cai
2:38:59 Advancing Cancer Research with Single-Cell Technology by Tapasree Roy Sarkar
3:21:54 Collaborative Experiences in Community Health by Marcia Ory
3:39:51 Bridging Health Access Gaps in Rural Communities by Wei Li
3:53:43 Machine Learning in Human Postmortem Microbiome by Sing-Hoi Sze
4:07:20 Ordinality Preserving Variational Auto-Encoder for Omics Data Analysis by Xiaoning Qian
4:26:06 Efficient Invariant Neural Networks via Weighted Frame Averaging by Jonathan Siegel
4:38:03 Q&A