Description: PrecisionHealthLLM
Medicine today is imprecise. Among the top 20 drugs in the U.S., up to 80% of patients are non-responders. The goal of precision health is to provide the right intervention for the right people at the right time. The key to realize this dream is to develop a data-driven, learning system that can instantly incorporate new health information to optimize care delivery and accelerate biomedical discovery. In reality, however, the health ecosystem is mired in overwhelming unstructured data and excruciating manua
In this tutorial, we will explore how large language models (LLMs) can serve as a universal structuring tool to democratize biomedical knowledge work and usher in an intelligence revolution in precision health. We first review background for precision health and give a broad overview of the AI revolution that culminated in the development of large language models, highlighting key technical innovations and prominent trends such as consolidation of AI methods across modalities. We then give an in-depth revie
As a resource, we provide a non-exhaustive list of papers and other resources that we referred to during the tutorial. We broadly categorize resources into three categories aligned with the structure of the tutorial: Precision Health, The Intelligence Revolution, LLMs for Precision Health, Application Challenges, and Research Frontiers.