PROJECT NARRATIVE Cloud computing promises to scale up storage, analysis and sharing of health data needed to accelerate research in genomics and precision medicine but methods for evaluating how responsible access to and sharing of genomic data is governed in the cloud remain severely underdeveloped. The proposed K01 aims to develop, validate, and implement a reliable tool in partnership with global stakeholders to assess genomic data stewardship across publicly funded repositories worldwide.
The co-evolution of computational processing power and neural network models has made revolutionary developments in generative artificial intelligence (GenAI) possible. One type of GenAI, large language models (LLMs), are disrupting a wide range of industries, including healthcare. LLMs are trained on large corpora of natural human language to predict and generate text (in chatbot form) that persuasively conveys contextual and semantic understandings.
