Artificial Intelligence in Precision Medicine for Diabetes and Other Chronic Diseases, Day 2 скачать в хорошем качестве

Artificial Intelligence in Precision Medicine for Diabetes and Other Chronic Diseases, Day 2

Artificial intelligence and machine learning (AI/ML) have made substantial strides in biomedicine, enhancing biomarker development drug discovery, improving diagnostics, and ultimately leading to more personalized and effective health care. This workshop aims to bring together biomedical researchers and AI/ML experts, to discuss the critical challenges, crosscutting gaps, and opportunities for and actionable items in leveraging AI/ML and other recent data science advances in precision medicine. 00:00 - Day 1 Recap by Co-chairs 08:16 - Remarks and Welcome by NIDDK Leadership Gregory Germino, M.D., Deputy Director, NIDDK, NIH 13:18 - Opportunities for Studying Heterogeneity, Uncovering New Biomarkers, and Predicting Progression in Type 2 Diabetes Using the AI-READI Dataset Cecilia S. Lee, M.D, University of Washington 29:29 - dkNET & Its Scalable Cloud-based Computing Platform to Support the Integration of AI/ML Toward Accelerating Discovery and Translation Chen Li, Ph.D., University of California, Irvine, California 45:03 - PanKbase: A New Knowledgebase to Support T1D Research Kyle Gaulton, Ph.D., University of California, San Diego 1:03:22 - NIDDK-CR Resources for Research: Opportunities for AI-based Data Science Rebecca Rodriguez, Ph.D., M.S., NIDDK, NIH 1:12:51 - Session 3 Panel Discussion 1:38:24 - Keynote 2 From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis Eran Segal, Ph.D., Weizmann Institute of Science 2:26:07 - Topic 1 (AI) 2:35:15 - Topic 2 (Diabetes) 2:42:49 - Topic 3 (Ethics) 2:51:27 - Topic 4 (Collaboration) 3:14:47 - Panelist-led Discussions 3:15:30 - Topic: Challenges and Opportunities in Precision Medicine of T2D Michael Snyder, Ph.D., Stanford University School of Medicine 3:26:21 - Topic: Opportunities and Challenges in AI Wei Wang, Ph.D., University of California, Los Angeles 3:42:11 - Topic: Workforce Development Talitha Washington, Ph.D., Clark Atlanta University 4:17:52 - Closing Remarks Workshop Co-chairs Dr. William Cefalu, M.D., Director, Division of Diabetes, Endocrinology, and Metabolic Diseases, NIDDK, NIH