There is an urgent need to take what we have learned in our new data-driven era of medicine, and use it to create a new system of precision medicine, delivering the best, safest, cost-effective preventative or therapeutic intervention at the right time, for the right patients.  Dr. Butte's teams at the University of California build and apply tools that convert trillions of points of molecular, clinical, and epidemiological data into diagnostics, therapeutics, and new insights into disease.

AI is catalyzing rational drug discovery and design using multimodal data and playing a pivotal role in optimizing Phase 1 trial designs. AI-powered approaches are also reshaping clinical development programs through methods such as covariate adjustments and complex biomarkers. The intersection of AI at the point-of-care underscores its capacity to enable personalized treatments via data-driven insights delivered as clinical decision support tools.

A recent topic of much discussion has been the use of AI/ML for healthcare application; its use for biomedical research is not novel, though its clinical use has increased substantially of late—and simultaneously, understanding of its current limitations. The talk will focus on the challenges of bringing AI/ML to its 'big data' analytical endpoint for the totality of medical evidence, and the NIH funding landscape aiming to address these.

AI-driven platforms are significantly advancing the field of precision medicine, enabling rapid genetic diagnosis, accelerating genomic analysis, and leading the way in drug discovery. Case studies highlight the transformative impact of these technologies such as Nanopore genome sequencing for rapid genetic diagnosis in critical care; GPU-Accelerated analysis of population-scale genomic datasets, and generative AI for small-molecule drug discovery. By leveraging AI, these advancements are improving patient outcomes and driving innovation in medical research and drug development.

The presentation will explore the transformative potential of AI in healthcare. It begins by defining precision medicine and highlighting its promises, including improved outcomes and cost savings. The challenges in implementing precision medicine are discussed, leading to the introduction of AI as a solution. The presentation showcases AI applications across genomics, drug development, diagnostics, and more, with case studies demonstrating its impact. Ethical considerations and collaboration opportunities are addressed, and future trends are explored. The presentation concludes by emphasizing AI's role in revolutionizing precision medicine.

Dr. Flora will delve into the fascinating world of Artificial Intelligence (AI) in Medicine. The speaker will open with an engaging discussion on the promise of AI in transforming healthcare. Attendees will gain valuable insights into the current applications and future possibilities of AI in the medical field. The talk will serve as a primer for clinicians, industry experts, and researchers who are eager to understand whether the hype surrounding AI in Medicine is justified or merely an illusion. The speaker will provide real-world examples and success stories, showcasing how AI can revolutionize diagnostics, treatment plans, and patient care. By attending this talk, participants will leave with a deeper understanding of the transformative power of AI in Medicine and its potential to improve healthcare outcomes.

Phenomics is a new, AI-driven approach to oncology and health care pioneered by Dr. Leroy Hood, a pioneer of genomics, next-generation sequencing, and the human genome project. We'll discuss how phenomics combines data from nanoscale, next-generation sequencing reads to the daily steps on a Fitbit to diagnose, debug, and repair our bodies in often dramatic ways—today.