News-Medical.Net January 21, 2026
An artificial intelligence-based tool can predict the medical trajectories of individual premature newborns from blood samples collected soon after they are born, a Stanford Medicine-led study has shown.
The research, which will publish Jan. 21 in Science Translational Medicine, provides a new understanding of the complexity of premature birth, not as a single problem defined by early arrival but as several distinct conditions. The study is a step toward predicting and preventing complications of prematurity using treatments tailored to each patient, the research team said.
“It’s very common to see patients who struggle with one prematurity complication but not all of them,” said co-senior author Nima Aghaeepour, PhD, the Anesthesiology, Perioperative and Pain Medicine Professor II as well as a...
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