Sepsis – the leading cause of mortality in children around the world – can present with a wide range of signs and symptoms, making a one-size-fits-all treatment strategy ineffective. Pursuing a precision medicine approach for pediatric sepsis, researchers used artificial intelligence to analyze a large set of clinical data and find a distinct group of patients who might respond better to targeted treatments. 

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