AI and genetic medicine are converging to transform how we diagnose, treat, and prevent disease. Gene Yeo, Ph.D., unites RNA biology with artificial intelligence to speed the path from genome sequencing to personalized RNA therapeutics. Advances in sequencing have reduced costs dramatically, making interpretation and translation into treatments the real challenge. Using deep learning and large datasets of RNA-binding proteins, Yeo predicts disease vulnerabilities and identifies therapeutic targets, including in neurodegeneration and muscular diseases. Alexis Komor, Ph.D., focuses on DNA, explaining human genetic variation—particularly single-nucleotide variants—and how genome editing technologies like CRISPR can target them. She highlights strategies to correct harmful mutations and explores precise, programmable interventions. Together, their research drives discovery and enables more effective, personalized therapies. (#40459)