Spotlight on Science

Wednesday, December 7, 10:00 a.m. – 11:00 a.m.

Precision Medicine – Using Big Data to Predict Drug Response and Optimize Care
Activity #: 0204-0000-16-350-L04-P
Level of Content: General Interest 
Contact Hours: 1.00 | Knowledge-based
Featured Speaker: Russ B. Altman, M.D., Ph.D., Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science and, by courtesy, of Computer Science, Stanford University, Stanford, Calif.

Learn about harnessing big data’s power to predict how medications will work based on individualized patient factors. This new technology is enabling practitioners to optimize care and customize treatments. Pharmacists need to prepare for being part of the precision medicine team. Hear from a pioneer and expert in this exciting field.

Learning Objectives:

  • Describe nontraditional sources of information related to drug response in precision medicine.
  • Discuss how precision medicine uses new data sources to optimize use of the medications.
  • Summarize how pharmacists may play an important role in precision medicine.


Russ Biagio Altman is a professor of bioengineering, genetics, and medicine (and of computer science, by courtesy) and Past Chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing and informatics technologies to problems relevant to medicine. He is particularly interested in methods for understanding drug action at molecular, cellular, organism, and population levels. His lab studies how human genetic variation impacts drug response. Other work focuses on the analysis of biological molecules to understand the action, interaction, and adverse events of drugs (http://features.stanford.edu/). Dr. Altman holds an A.B. from Harvard College, an M.D. from Stanford Medical School, and a Ph.D. in Medical Information Sciences from Stanford. He received the U.S. Presidential Early Career Award for Scientists and Engineers as well as a National Science Foundation CAREER Award. He is a fellow of the American College of Physicians (ACP), the American College of Medical Informatics (ACMI), the American Institute of Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS). He is also a member of the Institute of Medicine of the National Academies. He is a Past President, founding board member, and a Fellow of the International Society for Computational Biology (ISCB) as well as a Past President of the American Society for Clinical Pharmacology & Therapeutics (ASCPT). He has chaired the Science Board advising the FDA Commissioner and currently serves on the NIH Director’s Advisory Committee. He is an organizer of the annual Pacific Symposium on Biocomputing (http://psb.stanford.edu/) and a founder of Personalis, Inc. Dr. Altman is board-certified in Internal Medicine and in Clinical Informatics. He received the Stanford Medical School graduate teaching award in 2000 and the mentorship award in 2014.