This course introduces the knowledge in digital medicine, technologies, and the associated big data and analysis to students with non-biology background, focusing on the public health issues with the global insights. Digital medicine is the convergence of digital technologies (including genomic technologies) with medicine, living, and society to enhance the efficiency of medicine delivery and make medicines more personalized and precise. This course covers high-throughput (HT) genotyping, HT phenotyping, artificial intelligence, big data analysis, public database, proteomics and other omics. The goal of this course is to develop students’ understanding of digital medicine and required analytical skills for the exciting possibilities towards creating a new paradigm of precision medicine.

CILO-1: Describe the basic concepts of digital medicine and outline its role in precision medicine. CILO-2: Explain and differentiate the technologies for high-throughput (HT) genotyping such as HT sequencing, HT RNAi screens, HT CRISPR/CAS9 screens. CILO-3: Generate key information from HT genotyping data. CILO-4: Give application examples of HT phenotyping such as continuous monitoring of physiological signals for a variety of diseases. CILO-5: Generate key information from HT phenotyping data. CILO-6: Explain and differentiate the basic concepts and applications of proteomics and other Omics.