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Countdown to Big Data in Biomedicine: Mining medical records to identify patterns in public health

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The routine information contained in medical records holds the potential to unlock important public-health discoveries. That was the message conveyed at the 2014 Big Data in Biomedicine conference at Stanford by Martin Landray, PhD, a professor of medicine and epidemiology at Oxford University and deputy director of the Big Data Institute within the Li Ka Shing Centre for Health Information and Discovery. In the above video from last year's event, Landray explains how he and colleagues are working to better understand the determinants of common life-threatening and disabling diseases through the design, conduct and analysis of large-scale epidemiological studies and the widespread dissemination of both the findings and methods used to generate them.

This month, Landray will return to the Big Data in Biomedicine conference and moderate a discussion on neuroimaging. Among the panelists are Michael Greicius, MD, associate professor in the Department of Neurology and Neurological Sciences at Stanford, and Brian Wandell, PhD, founding director of Stanford’s Center for Cognitive and Neurobiological Imaging and deputy director of the Stanford Neurosciences Institute.

Registration for the conference, which will be held May 20-22 at Stanford, is currently open. More details about the program can be found on its website.

Previously: Stanford bioengineer discusses mining social media and smartphone data for biomedical research, Using genetics to answer fundamental questions in biology, medicine and anthropologyBig data used to help identify patients at risk of deadly high-cholesterol disorder, Examining the potential of big data to transform health care and Registration for Big Data in Biomedicine conference now open

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