Progress report of Precision Medicine group

Abstract

In the era of precision medicine and AI, leveraging on the great resource of UKBB and TWBB, we aim to predict disease occurrence of chronic kidney disease and cancer patients’ response to immunotherapy, and reveal the statistical relations of genotype/imaging data with diseases, e.g., Alzheimer’s Disease.  UKBB and TWBB comprise multimodal data (e.g., genomic data and medical images) and diverse phenotypes (e.g., cancers, genetic disease) from a cohort of 500K/~20K subjects, respectively. We first report the progress of subscription to UKBB, which may take 15 working weeks. Next, we report our ongoing efforts on applying the mediation analysis to tackle our aims.  We have also built a platform to read inputs of our prototype algorithms and output the predictions (outcomes). Finally, we present the research plan outlining key components for the next year. 

These works are the joint works with Dr. Chen-Hsiang Yeang (co-PI), Dr. Shin-Sheng Yuan (co-PI), Dr. En-Tni Lin, Dr. Spandana Vadloori, Vahid Golderzahi, and Jae-Yu Yang.

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