Description
Harvard and Massachusetts General Hospital create an AI machine learning framework combined with genomics that predicts drug repurposing candidates for Alzheimer's disease.
Summary
- A new study shows how an AI tool could help with drug repurposing.
- There are roughly over 20,000 approved drugs, according to the FDA.
- The approach we developed, drug repurposing in Alzheimer’s disease (DRIAD), involves a machine learning framework that quantifies the association between the stage of AD (early, mid, or late) as defined by Braak staging and any biological process or response that can be characterized by a list of gene names,” wrote researchers Steve Rodriguez, Artem Sokolov, Clemens Hug, Peter Todorov, Nienke Moret, Sarah Boswell, Kyle Evans, George Zhou, Nathan Johnson, Bradley Hyman, Peter Sorger, and Mark Albers.
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