Reposted by Nima Aghaeepour
By applying #DeepLearning methods to routine blood spot samples from premature infants, researchers develop a metabolic health score that can stratify groups at risk of severe diseases of #prematurity.
Learn more in #ScienceTranslationalMedicine: scim.ag/3ZtelZO
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Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning
Newborn screen metabolites encapsulate the risk for adverse outcomes of prematurity through a deep learning–based metabolic health index.