How data about genes, physical activity, and the environment are yielding insights about obesity


Armed with electronic health records and insurance claim information, data scientists are trying to predict who’s going to become addicted to opioids—and stop them before it’s too late.


Applying deep learning to biomedical images has the potential to enable earlier and more accurate disease detection, allow more precisely tailored treatment plans, and ultimately improve patient outcomes.

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