Researchers at the Francis Crick Institute and UCL Queen Square Institute of Neurology, working with technology company Faculty AI, have shown that machine learning can accurately predict subtypes of Parkinson’s disease using images of patient-derived stem cells.
Published in Nature Machine Intelligence, their work has shown that computer models can accurately classify four subtypes of Parkinson’s disease, with one reaching an accuracy of 95%. The most predictive features for subtype classification were the mitochondria and lysosomes in the cells.
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