In recent years, data driven approaches have made a variety of contributions to disease analysis combining public data with in-house data in an attempt to increase biomedical understanding. Popular topics include the discovery, prediction, and analysis of disease genes, statistical analysis of SNPs and disease, the prediction and discovery of new drug targets, the development of the disease ontology and its application to the human genome, the analysis of disease related molecular interaction networks, the development of “disease networks”. In this talk we will present recent advances in these areas. Specific examples include: combining genomics and clinical data in cancer biomarker discovery; joint analysis of genomic and imaging features; phenotype driven disease diagnostics; and building disease network using genomic data warehouse. In summary, data driven approach has been playing key roles in translational medicine.
Webinar 1- Nurturing an AI ecosystem to foster AI talents (11/24): https://zoom.us/webinar/register/WN_eMnRHbF4Rb2P3lOqEUwdew
Webinar 2- Brief Introduction to Psychology *hybrid class* (11/25): https://zoom.us/webinar/register/WN_zs1h4_euSgW7GChhw-7i0A
Webinar 3- Data Driven Biomedical Discovery (11/26):
Webinar 4- Improving Quality of Experience for Video Streaming with AI at Network Edge (11/27):