Medicine Meets Computer Science: Biomarker Development for Chronic Disease Management

Personalized medicine has been hailed as one of the main directions for medical research in this century. In the first half of the talk, we give an overview of our projects that develop genomics and proteomics biomarkers for managing chronic diseases clinically, such as COPD and heart failures. We believe that our approach will provide better patient care but with lower costs. In the second half of the talk, we overview how computer science is critical to personalized medicine. In particular, we describe how computational methods are used to mine large amounts of genomics data to produce biomarkers. We also discuss some of the challenges in analyzing genomics data. We conclude by pointing out the importance of data cleansing and pre-processing for biomarker development.