How AI is accelerating drug discovery
From Cool Science Radio by Lynn Ware Peek, Scott Greenberg
May 14, 2026 · 20 min
About this episode
Matthew Sigman discusses the impact of machine learning on drug discovery processes.
University of Utah chemist Matthew Sigman explains how machine learning is transforming drug discovery. By predicting how molecules form, especially their critical “handedness,” new tools can dramatically cut the time, cost, and trial-and-error required to develop life-saving medicines.
People in this episode
Hosts: Lynn Ware Peek, Scott Greenberg
Guest: Matthew Sigman
Topics covered
- AI
- drug discovery
- machine learning
- chemistry
- healthcare
Keywords
- AI
- drug discovery
- machine learning
- molecules
- medicines
Mentioned in this episode
Organizations: University of Utah
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