Professor Tian Xu

From AI for Medicine to Science for AI: Deep Nature and Quantification Biology

Abstract

The Xu lab pioneered genetic dissection of growth control and identified all the key growth regulators and pathways, which elucidated principles of developmental biology and contributed to understanding of pathogenic mechanisms and development of drugs. The lab recently focuses on AI for Medicine and Science for AI. DeepAdaptor and DeepT2Vec provide method for standardizing transcriptomic data and algorism for training. The DeepNature life language model enables prediction for disease, indication, toxicity, and mechanism for small molecule and herbal drugs. Multiple drugs are in different phases of clinical trials. The new quantification biology study has revealed brain region, neural mechanism and math model, which facilitates development of new AI.