Dr. James Zou of Stanford University is an inaugural Chan-Zuckerberg investigator and faculty director for the university-wide AI for Health program.
Dr. Zou recently published a paper in Nature which is making waves in the clinical trial world because it is causing us to rethink how we set eligibility criteria for clinical trials. Using an ML approach, he shows that by changing such criteria, we can make trials both more inclusive, opening them up to way more patients, while at the same time safeguarding patient safety.
We also talk about his various other research projects, which span the gamut from evaluating FDA approvals of AI algorithms, all the way to deeper mathematical concepts like data valuation. Dr Zou is an impressive titan in the AI and medicine space. In this interview I really came to appreciate how broad his research spans, which I think is key to his many successful projects. We ultimately close with some good advice for people looking to get involved in this exciting and growing space.
02:45 Introduction to the intersection of Medicine and AI
4:20 Life after Ph.D.
6:35 New Nature paper on AI and clinical trials
13:25 How did we approach this question?
14:15 Data Driven Approach - Trial Path Finder
16:59 The ethical implications of this approach
19:35 Why are minority populations excluded from research?
20:25 Using AI to include ineligible patients in clinical trials
23:50 Future for this project
27:00 Evaluation of FDA approvals for AI algorithms
32:23 Favorite Project Dr. Zou has worked on
35:01 Dr. Zou's favorite math concept in the machine learning space
39:10 Separating signal from noise
39:53 Dream research projects
41:00 Future of Ai % medicine in 10-20 years
43:15 The human and AI team
47:40 What advice would you give to your 20 year old self
Interviewer: David Wu
Producer: Aaron Schumacher & Alexander Jacobs
Art: Melanie Bussan
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