Keiichi Kodama MD, PhD
Assistant Professor of Pediatrics
Institute for Computational Health Sciences at UCSF
The Kodama Lab focuses on identifying the underlying mechanisms of diabetes and its complications by integrating and meta-analyzing large-scale genomic, transcriptomic, proteomic and enviromic data using computational analytic method, and finding means of early diagnostic markers and treatment procedures for the diseases. We have developed a pipeline of meta-analysis for omics data sets related to diabetes and verification experiments for candidate genes/proteins identified by our data-driven approach.
Our ultimate goal is to develop strategies for reclassifying the diseases and deliver stratified and precision medicine to each patient.