Machine-learning to allocate monoclonal antibody treatment in pandemic could cut hospital cases by a third --study

Machine-learning monoclonal antibody allocation in pandemic could cut hospital cases by a third If drugs and medical treatments are in short supply during a pandemic, a new model shows how machine learning can help decide how to distribute medicines and reduce hospitalizations by up to 27%. CIDRAP

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The study appears in JAMA Health Forum. The authors of the study explain that during the COVID-19 pandemic, many patients received treatment with monoclonal antibodies (mAbs) on a first-come, first-served basis or were treated based on individual health histories.

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