Researchers from MIT have created an AI tool that can predict Parkinson’s in patients earlier than humans, though ethicists heed caution.
last week, scientists from MIT said they have developed a tool called a neural network — algorithms that mimic the way a human brain works — that can identify whether someone has Parkinson’s disease from how they breathe while sleeping.
“It’s really hard,” Beck said. “There’s no blood test. There’s no brain scan. There’s no objective way of saying someone has Parkinson’s disease or not. It requires a skilled clinician.”Katabi and Yuzhe Yang, an MIT researcher and the study’s lead author, set about trying to solve this problem using machine learning. They trained algorithms on sleep data collected from over 7,600 people, of which roughly 750 had Parkinson’s disease.
Katabi added that the tool, called an Emerald device, is being used by large pharmaceutical and biotechnology companies working on Parkinson’s treatments, but she declined to name which companies, citing confidentiality agreements.Beck, of the Parkinson’s Foundation, said the AI tool is simply one of many ways scientists are racing to better detect and track Parkinson’s disease.
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