Dr. Jay Bhattacharya, Director of the NIH, discusses his vision for reforming the institution by adopting a Silicon Valley-style portfolio approach to funding, tackling the replication crisis, supporting early-career scientists, and leveraging AI to accelerate biomedical research while rebuilding public trust in science.
This talk explores a data science approach to identifying high-risk subpopulations for multimorbidity in sub-Saharan Africa, contrasting traditional hypothesis-driven analysis with a discovery-driven method that automatically uncovers non-obvious patterns in health data.
A discussion on refining patient questions for a study on diabetes, highlighting the contrast between simplified questions for scalable data collection and the complex, nuanced queries from long-term patients. The team explores how to test their AI-driven storytelling system with these specific, real-world scenarios to generate more grounded and relevant health narratives.
Dr. Umair Shah, former Washington State Secretary of Health, and Dr. Gianrico Farrugia, CEO of Mayo Clinic, discuss the practical applications and strategic imperatives of AI in public health and clinical care. They explore how AI can shift public health from a reactive to a proactive model, the necessity for a new data-centric architecture in healthcare systems, and the transformative potential of generative AI beyond mere optimization of current workflows.