Sudden Infant Death Syndrome (SIDS) has been a tragic and mysterious occurrence throughout history, leaving medics and parents grappling for answers. A recent study by UCSF researchers identified 14 metabolic markers that may predict SIDS, offering hope for early intervention. By analyzing newborn screening results, they developed a statistical model to assess an infant’s risk of SIDS. While the findings are promising, further validation and refinement are needed before widespread implementation. This research sheds light on the biological factors contributing to SIDS and provides potential tools for early detection and prevention in the future.
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Early Warning: Biomarkers Hint at SIDs Risk
