FEB 22, 2017 12:00 PM PST

From Bits to Bedside: Translating Big Data into Precision Medicine and Digital Health

C.E. CREDITS: P.A.C.E. CE | Florida CE
  • Assistant Professor of Pediatrics Institute for Computational Health Sciences University of California, San Francisco
      Dr. Hadley's expertise is in translating big data into precision medicine and digital health. His work has resulted in an ongoing precision medicine clinical trial for ADHD (ClinicalTrials.gov Identifier: NCT02286817) for a first-in-class, non-stimulant neuromodulator to be targeted across the neuropsychiatric disease spectrum. His laboratory was recently funded by the NIH Big Data to Knowledge initiative to integrate multiple large-scale open databases to allow cross platform computational analyzes powerful enough to discover the functional genes and their related biological pathways that are defective in disease. He received the inaugural UCSF Marcus Award for Precision Medicine to develop a digital health initiative to use smartphones to screen for skin cancer and reduce the mortality of melanoma. In general, the end point of his work is rapid proofs of concept clinical trials in humans that translate into better patient outcomes and reduced morbidity and mortality across the spectrum of disease.


    In this talk, I will use examples from my research using big data analytics to define ideals of precision medicine and digital health across a variety of diseases. Specifically, I will introduce the audience to my work in large-scale population-wide analysis with public and private data sources, and my work on using mobile technology and digital health to foster these two ideals and improve patient care.

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