Artificial intelligence is reshaping how we understand the human body by making sense of vast amounts of biological data. In medicine, AI’s real promise lies in uncovering patterns hidden within the complexity of cells, genes, and proteins. This ability helps researchers move beyond treating symptoms and toward addressing the root causes of disease. At the same time, genetic medicine makes once-impossible tasks feel routine, from reading entire genomes to developing therapies that correct faulty genes before illness takes hold.

In this presentation, Gene Yeo, Ph.D., shows how RNA biology and AI work together to accelerate progress. Advances in genome sequencing make reading DNA fast and affordable, but interpreting that information and turning it into treatments remains a challenge. Yeo uses deep learning and curated datasets of RNA-binding proteins to predict disease vulnerabilities and identify therapeutic targets. His research extends into conditions such as neurodegeneration and muscular diseases, demonstrating how AI helps design personalized RNA-based therapeutics that are both precise and powerful.

Alexis Komor, Ph.D., explores DNA itself and the role of human genetic variation. She explains how single-nucleotide variants—the smallest changes in DNA—can influence health and how genome editing technologies like CRISPR correct them. Komor highlights strategies for creating programmable, precise interventions that directly target harmful mutations.

Together, Yeo and Komor advance genetic medicine with AI as a key partner, pointing toward a future of more effective and personalized therapies.

Watch A Closer Look at Genetic Medicine and Artificial Intelligence and explore the entire A Closer Look series to see how groundbreaking research is shaping the future of medicine.