In this episode we discuss a novel idea in the healthcare and AI space: using Swarm Learning and blockchain technology for decentralized and confidential machine learning on clinical data. This promising new framework for collaborative research improves both algorithm performance and preserves patient privacy.
This idea has been pioneered by Dr. Joachim Schultze, who recently published an exciting new paper on the subject in Nature. Dr. Joachim Schultze is a professor of Genomics and Immunoregulation at the DZNE in Germany and the University of Bonn.
2:30 Introduction and Background
6:00 Studying Broadly as an Academic
9:10 Joachim Schultze's introduction to A.I. through work on Leukemia
14:45 Recent Nature Paper - Swarm Learning & The Blockchain
21:10 Federated Learning vs. Swarm Learning
23:00 Using the Blockchain and Smart Contracts to Secure Data Sets
25:00 External Threats to the Swarm
29:40 Reaching Agreement Before Inter-Institutional Swarm Learning
35:50 Utilizing Multiple Nodes to Answer a Clinical Question
39:18 Reducing Technology-Driven Noise and Decreasing Bias With the Swarm
44:50 Open Science, Open Insights, But is Open Data Absolutely Necessary?
46:46 The Necessity of an Interprofessional Team to Complete This Project
48:30 Next Steps For This Project
54:10 Central Maintenance For The Swarm
55:10 Future of A.I. in Medicine
59:40 What Advice Would You Give To Your 20-Year Old Self
Interviewer: David Wu
Producer: Aaron Schumacher & Alexander Jacobs
Art: Saurin Kantesaria @saorange314 - Instagram
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