AI for Health Webinar

Join us for the AI4health webinar featuring conversations with industry and academic leaders pioneering AI in healthcare and biomedical applications. We'll explore recent breakthroughs, discuss real-world implementations, and address the challenges and ethical considerations of AI in medicine. This webinar aims to accelerate AI adoption in healthcare, improve patient outcomes, and offer valuable insights for healthcare professionals, researchers, and technology enthusiasts alike. This webinar is organized by Prof. Jimeng Sun from University of Illinois Urbana-Champaign.

This is a weekly webinar on Wed 2-3PM CT. The announcement and zoom-link will be sent out to our mailing list before the talk and also be posted on LinkedIn. Please sign up

#XX Mark Gerstein, Yale, Nov 5, 2025

#XX Qi Long, University of Pennsylvania, June 18, 2025

#29 Zhiyong Lu, NIH NLM, Oct 15, 2025

#28 Summers, Ronald, NIH, Oct 8, 2025 

#27 Connor Coley, MIT, Oct 1, 2025

#26 Edward Choi, KAIST, Sep 24, 2025 11AM-12PM EST (special time)

#25 Yun Liu, Google Health, Sep 3, 2025

#24 David Page, Duke University, Making Neural Nets More Causally Accurate for Clinical Applications, Aug 27, 2025

Summer break  (June to Aug)

#23 David Sontag, MIT, Towards Precision Oncology: A Predictive, Causal, and LLM Lens, May 28, 2025

#22 Hua Xu, Large Language Models for Biomedical Applications, Yale, May 21, 2025

#21 Aaron Lee, Building biomedical datasets for the future of AI, University of Washington, May 14, 2025 

#20 Tristan Naumann, Biomedical NLP in the Age of GenAI, Microsoft Research, May 7, 2025 

#19 Emily Alsentzer, Knowledge-Enhanced Machine Learning for Healthcare Stanford, Apr 30, 2025 

#18 Joyce Ho, Beyond EHRs: Bridging Clinical Records and External Knowledge for Better Patient Outcomes, Emory University, Apr 23, 2025

#17 PyHealth Clinical Predictive Modeling Panel, Apr 9, 2025

#16 Sanmi Koyejo, Stanford University, Apr 2, 2025

#15 Jimeng Sun, Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Panel discussion on Trial oucome prediction benchmark, UIUC, Mar 26, 2025 [paper, website]

#14 Faisal Mahmood, Harvard University, Multimodal, Generative and Agentic AI for Pathology, Mar 19, 2025

#13 Zifeng Wang, UIUC, Large language models for clinical trial design, execution, and analysis, Mar 12, 2025

#12 James Zou, Stanford University, AI agents for biomedicine and healthcare, Feb 26, 2025

#11 Jenna Wiens, University of Michigan, White Coat, Black Box - Navigating Pitfalls in Using AI to Augment Diagnostic Decision Making, Feb 19, 2025

#10 Sheng Wang, Univ of Washington, Generative AI for Multimodal Biomedicine: applications in pathology and retinal imaging, Feb 12, 2025

#9 Marzyeh Ghassemi, MIT, Taking the Pulse Of Ethical ML in Health, Feb 5, 2025

#8 Brian Martin, AbbVie, Providing Rare Hope for Even Rarer Diseases How AI can enable broad mining of knowledge and data to power drug repurposing for rare diseases, Jan 29, 2025

#7 Bradley Malin, Vanderbilt University, Baking Responsibility into the AI for Health Lifecycle, Oct 9, 2024

#6 Pranav Rajpurkar, Harvard University, The Generalist Medical AI Will See You Now, Sep 25, 2024 (special time 12:30-1:30PM CT)

#5 Hoifung Poon, General Partner at Microsoft Research,  Multimodal Generative AI for Precision Health, Sep 18, 2024

#4. Parminder Bhatia, Chief AI Officer at GE Healthcare, Unleashing the power of Medical Imaging Foundation Models, Sep 11, 2024 

#3. Lucas Glass, SVP at IQVIA, Getting past the academics of AI to generate financial value.  Case studies in AI for Clinical Trials. May 22, 2024

#2. Pengtao Xie, Assistant Professor at UCSD, Foundation Models and Generative AI for Medical Imaging Segmentation in Ultra-Low Data Regimes, May 1, 2024

#1. Vera Mucaj,  Chief Scientist at Datavant, AI and the healthcare data logistics problem, Apr 22, 2024