Researchers from the Weismann Institute and Tel Aviv Sourasky Medical Center have made significant progress towards personalised medical lab reference ranges, effectively moving beyond the traditional one-size-fits-all model. By using machine learning and computational modelling on over 2 billion lab results, they were successful in segmenting and predicting the health status of different patients’ groups, identifying those at risk of disease, and thus, improving healthcare.
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