Moritz Gerstung, a computational biologist at the German Cancer Research Centre, discusses the groundbreaking Delphi2M AI tool that predicts an individual's risk of over 1,000 diseases using their health records. The system, trained on extensive data from 400,000 individuals, aims to streamline healthcare by forecasting disease progression. Gerstung also highlights concerns about biases in the AI’s training data and its potential transformative role in population health management. Additionally, the podcast explores intriguing research on AI's influence on unethical behavior in task delegation.
