In this episode of the FYI podcast, the hosts explore the groundbreaking impact of multiomics and AI on healthcare. They discuss how combining different types of biological data—like genomics, transcriptomics, proteomics, and imaging—with AI is transforming diagnostics and drug discovery. Experts emphasize the vast, largely unexplored potential of healthcare data and the early stages of this revolution. They envision a shift from a reactive "sick care" approach to a proactive, predictive, and preventive model, which could lead to faster, more affordable drug development and improved diagnoses. The conversation also addresses current challenges, including regulatory obstacles and the outdated nature of much pathology work, while highlighting the exciting prospects of AI-driven tools that could automate research processes.
