Foundational artificial intelligence models to understand genome-phenotype associations
The goal of this work is to combine genomic sequence data with clinical, text and imaging data to infer associations with patient phenotypes and outcomes. The project will help streamline the use of specific diagnostic or therapeutic approaches to improve outcomes. It personalizes medicine and helps push the limits of multimodal data analytics in the omics era.
Collaborating faculty