AI for health webinar

Past AI for Health Webinars

AI4H #27, Connor Coley, Tailoring generative AI to small molecule design for early stage (drug) discovery

AI4H #25, Yun Liu, Generative AI for Biomedical Applications: Images, Molecules, Wearables, and Conversations

AI4H #26, Edward Choi, Interactive Evaluation of AI’s Multi-modal Medical Reasoning Capabilities

AI4H #23, David Sontag, Towards Precision Oncology: A Predictive, Causal, and LLM Lens

AI4H #24, David Page, Making Neural Nets More Causally Accurate for Clinical Applications

AI4H #22, Hua Xu, Large Language Models for Biomedical

AI4H #21, Aaron Lee, Building biomedical datasets for the future of AI

AI4H #20, Tristan Naumann, Biomedical NLP in the Age of GenAI

AI4H #19, Emily Alsentzer, Knowledge-Enhanced ML for Healthcare

AI4H #17, Sunlab team, PyHealth Overview and Discussion

AI4H #16, Sanmi Koyejo Enhancing Temporal Processing in EHR Foundation Models by Prof. Sanmi Koyejo

AI4H#15 Automatically Labeling Clinical Trial Outcomes: A Large-Scale Benchmark for Drug Development

AI4H #14, Faisal Mahmood, Multimodal Generative and Agentic AI for Pathology

AI4H #13, Zifeng Wang, Large language models for clinical trial design, execution, and analysis

AI4H #12, James Zou, AI agents for biomedicine and healthcare

A4H#11: Jenna Wiens, White Coat, Black Box -Navigating Pitfalls in AI Diagnostic Decision Making

AI4H #10, Sheng Wang, Generative AI for Multimodal Biomedicine in pathology and retinal imaging

AI4H #9, Marzyeh Ghassemi, Taking the Pulse Of Ethical ML in Health

AI4H #7, Bradley Malin, Baking Responsibility into the AI for Health Lifecycle

AI4H #6: Pranav Rajpurkar, Harvard University, The Generalist Medical AI Will See You Now,

A4H #5: Hoifung Poon, Multimodal Generative AI for Precision Health

A4H #4: Parminder Bhatia, Unleashing the power of Medical Imaging Foundation Models

AI4H #1, Vera Mucaj, AI and the healthcare data logistics problem

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