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    How to use big data to treat and manage diseases

    The floodgates are open. Specifically speaking, the repositories of big data are open and with the proper use and management of this data, the vast amount of information available is set to potentially change the face of modern medicine in terms of personalized healthcare for all.

    Atul Butte, M.D., Ph.D.Overwhelming quantities of open data, including molecular, clinical and epidemiologic data have been collected over the last years at sites like the NIH National Cancer for Biotechnology Information or the clinical data repositories at hospital systems around the world. These data sets are at the disposal of the medical and scientific communities to use at their discretion for scientific advancement. Researchers today can access this trove of information and wield it to forge and develop potential advancements in diagnostics, therapeutics, and insights into diseases across the medical spectrum.

    READ: Important gaps in dermatology research

    According to one expert, one of the main challenges going forward is to be able to convert the genome-era discoveries and translate the hundreds of trillions of points of molecular, clinical and epidemiologic data into clinical usefulness.

    “The age of using invaluable molecular, genetic, and epidemiologic data to drive scientific and medical discoveries is upon us. The collection of data, even publicly-available data, has taken on a new meaning in terms of providing state-of-the-art healthcare, one that can be personalized and tailored to the individual patient,” says Atul Butte, M.D., Ph.D., Director, Institute for Computational Health Sciences, and Professor of Pediatrics, University of California, San Francisco.

    NEXT: The end of the scientific method?

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