Artificial Intelligence for Precision Health

Introduces students to the promise and challenges of AI and machine learning methods, including large language models, in precision health. Topics covered will include analysis of genomes, omics, and clinical data, as well as learning from multiple data sources. No prior knowledge of biology or medicine is required; an introduction to these topics and the nature of biological data will be provided. In depth knowledge of AI is not required, but students should have basic familiarity with coding and computer science.