ByteSight
From Data Chaos to Clinical Clarity: How Pharma Turns Messy Clinical & Omics Data into Decisions
39:56
In this ByteSight episode, Dr. Manasi A-Ratnaparkhe speaks with Dr. Paul Agapow about why AI in biomedicine often gets the „right answer for the wrong reason.” Using the famous „wolf-husky problem,” they explore hidden correlations in medical data, why context matters as much as performance, and what it takes to move AI from pilot to real clinical impact. The conversation also dives into…