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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Chand T. John, PhD
Could fractals join the collection of mathematical gems that propel biomedical image analysis to new heights?
Protein design ascends to new heights
Engaging Data Scientists in Biomechanics
A Model for Extracting Literature-based Knowledge
Cost-effectiveness studies yield answers to the complex question of whether clinical genomics testing has value.
Mark Craven, PhD