Diagnoses via Immune ‘Fingerprints’
Science and researchers at Stanford Medicine have reported the use of Mal-ID (machine learning for immunological diagnosis) to analyze B and T cell receptors sequences from human blood, showing the ability to predict health status (healthy vs diseased) and discriminate between distinct
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