Mika Newton talks with Dr. Nigam Shah, Stanford professor and Chief Data Scientist, about AI in healthcare. They discuss AI’s sustainability, regulatory challenges, and the need for localized validation. The conversation explores how AI can improve clinical decision-making, optimize resources, and expand patient access while addressing implementation and data-sharing barriers.

This episode explores AI's role in healthcare, focusing on drug repurposing, data sharing challenges, and regulatory barriers. Mika Newton and Bob Battista discuss how AI can enhance clinical decision-making, improve patient access to treatments, and streamline medical records. They also address privacy laws, governance, and the potential for AI to transform healthcare by making critical knowledge more accessible.

Mika Newton and Tom Neyarapally discuss how AI is changing the landscape of drug discovery. They examine the role of machine learning, patient data, and computational tools in accelerating the process, reducing costs, and improving the chances of developing effective treatments. The conversation covers how AI-driven screening, drug repurposing, and real-world data integration are helping to overcome traditional challenges in bringing new therapies to patients faster.