AI can predict Parkinson’s subtype with up to 95% accuracy

AI can predict Parkinson’s subtype with up to 95% accuracy
Parkinson's - characterized by involuntary shaking of parts of the body, slow movementand stiff muscles - directly impacts at least 8.5 million people around the world. Mascha Brichta/dpa
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Scientists have developed an artificial intelligence (AI) tool that can classify four subtypes of Parkinson’s disease with up to 95% accuracy. Researchers from the Francis Crick Institute and the UCL Queen Square Institute of Neurology in London “trained” a computer program to recognise the subtypes of the condition using images of stem cells from patients. The team said their work, published in the journal Nature Machine Intelligence, could pave the way for personalised medicine and targeted drug discovery. Sonia Gandhi, assistant research director and group leader of the Neurodegeneration Bi...

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