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IBM’s AI can predict how Parkinson’s disease may progress in individuals

In the previous, we’ve seen docs use AI software to detect brain tumors, kidney sickness and numerous cancers. Now, researchers from IBM and Michael J. Fox Foundation (MJFF) say they’ve developed a program that can predict how the signs of a Parkinson’s disease affected person will progress in phrases of each timing and severity. In The Lancet Digital Health journal, they declare the software might remodel how docs assist sufferers handle their signs by permitting them to higher predict how the disease will progress.

“Our aim is to use AI to help with patient management and clinical trial design. These goals are important because, despite Parkinson’s prevalence, patients experience a unique variety of motor and non-motor symptoms,” IBM mentioned.

The breakthrough wouldn’t have been potential with out the Parkinson’s Progression Markers Initiative, a examine the Michael J. Fox Foundation sponsored. IBM describes the dataset, which incorporates data on greater than 1,400 individuals, because the “largest and most robust volume of longitudinal Parkinson’s patient data to date” and says it allowed its AI mannequin to map out advanced symptom and development patterns.

It’s estimated Parkinson’s disease impacts greater than 6 million individuals globally, and there’s presently no identified treatment for it. IBM Research and MJFF plan to proceed work on the AI mannequin. In the long run, they hope to make it higher at offering extra granular characterizations of the assorted levels of the disease.

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