«Stanford Medicine scientists and their colleagues have shown they can tap mothers’ and babies’ medical records to better predict newborn health risks.»

«By sifting through electronic health records of moms and babies using a machine-learning algorithm, scientists can predict how at-risk newborns will fare in their first two months of life. The new method allows physicians to classify, at or before birth, which infants are likely to develop complications of prematurity.»

«A study describing the method, developed at the Stanford School of Medicine, was published online Feb. 15 in Science Translational Medicine.»

Article written by Erin Digitale



Med Standford