Session Abstract – PMWC 2019 Silicon Valley
Session Synopsis: Public health determinants include a variety of different components, and besides genomics data entail other informative data such as environmental contaminants (e.g. air quality or water quality data) or microbiome data. Only this way we can create a more comprehensive overall picture and respond to and prevent disease outbreaks, reduce the impact on reproductive and developmental health, and make better educated disease treatments. This session will dive into different types of data collection efforts which collectively that as an overall goal have better patient outcome.
Session Chair Profile
Ph.D., MSC, DSC, Distinguished University Professor, University of Maryland College Park and Johns Hopkins Bloomberg School of Public Health, President, CosmosID, Inc.
Rita R. Colwell is a Distinguished University Professor at the University of Maryland and at the Johns Hopkins University Bloomberg School of Public Health. Colwell’s research interests are focused on global infectious diseases, water and health. She is currently developing an international network to address emerging infectious diseases and water issues, including safe drinking water for both the developed and developing world. Colwell served as the 11th director of the National Science Foundation from 1998 to 2004. Her major interests include K–12 sciences and mathematics education, graduate science and engineering education, and the increased participation of women and minorities in science and engineering. She has held many advisory positions in the U.S. government, nonprofit science policy organizations and private foundations, as well as in the international scientific research community. She is a member of the National Academy of Sciences, the Royal Swedish Academy of Sciences, Stockholm, the Royal Society of Canada, the American Academy of Arts and Sciences, and the American Philosophical Society.
Ph.D, Associate Professor, UCSF
Courtney Lyles, PhD, is an Associate Professor in the UCSF Division of General Internal Medicine at Zuckerberg San Francisco General Hospital and the UCSF Center for Vulnerable Populations. A trained health services researcher, she uses quantitative and qualitative methods to examine quality of care, health behavior, and health outcomes. She is also an Associate Director of the UCSF program Implementation Science program based in the Department of Epidemiology and Biostatistics. Her research specifically focuses on harnessing health information technology and big data approaches to improve patient outcomes, particularly among underserved patient populations. She is currently the co-PI of the UCSF Population Health Data Initiative and the UCSF Precision Population Health program.
Using Population Health Data to Enhance Precision Medicine Approaches
This talk will cover an overview of the UCSF Population Health Data Initiative, which involves geocoding electronic health record data to provide insight about how neighborhood-level factors impact clinical care.
Ph.D., MPH, Professor and Director, Program on Reproductive Health and the Environment, UCSF
Tracey Woodruff is a recognized expert on environmental pollution exposures during pregnancy and effects on prenatal and child health as well as on her innovations in translating and communicating scientific findings for clinical and policy audiences. Her research include evaluating prenatal exposures to environmental chemicals and related adverse pregnancy outcomes, and characterizing developmental risks. She has authored numerous scientific publications and book chapters, and has been quoted widely in the press, including USAToday, the San Francisco Chronicle, and WebMD. She was previously at the US EPA, where she was a senior scientist and policy advisor in the Office of Policy, and author of numerous government documents. She is an Associate Editor of Environmental Health Perspectives. She was appointed by the governor of California in 2012 to the Science Advisory Board of the Developmental and Reproductive Toxicant (DART) Identification Committee.
Environment Matters: Big Data, Environmental Exposures & Health
Will present novel approaches using high throughput technology to scan for chemical signatures in biological samples integrated with large-scale environmental exposure data to understand the human exposome, particularly during pregnancy. She will also discuss how the exposome interacts with genetic and social factors to influence development and disease.