“Nothing excites me as much as the potential for AI,” Xaira CEO Marc Tessier-Lavigne tells Bloomberg Intelligence analyst Sam Fazeli on this episode of the Vanguards of Health Care podcast. They explore how artificial intelligence could cut drug development timelines in half and triple clinical success rates. Tessier-Lavigne, a former Genentech R&D leader, explains why today’s 13-year, 90% failure model is broken and how causal cell models, generative protein design and smarter patient stratification can transform target selection, drug creation and trials. Tessier-Lavigne also details why Xaira is chasing “high-hanging fruit,” the hard-to-drug targets others can’t reach, and what it will take to reverse Eroom’s Law.

Datavant is Building the Data Layer AI Needs in Healthcare
49:38

FocalTherics Incorporates Therapeutic Ultrasound Across an Expanding List of Pathologies
48:17

Stryker Recipe For Market Leading Growth Starts With Its Culture and Learnings
55:46