Using AI for Parkinson study
During the past three years, artificial intelligence (AI) researchers at IBM in Armonk have collaborated with neuroscientists at the Michael J. Fox Foundation on studies designed to predict the progression of Parkinson”™s disease.
In a study that was recently published in The Lancet Digital Health, the IBM and Fox foundation team showed the ability to build AI in a manner that could accurately chart the patterns in which a patient”™s Parkinson”™s symptoms progress, as well as how and when a patient”™s health would devolve into an acute state of the disease.
Jianying Hu, IBM fellow and global science leader for AI in health care, explained that trying to track how Parkinson”™s progresses within a patient is one of the most challenging tasks facing the medical profession. “It”™s a neurodegenerative condition that has no cure,” she said.
The disease progresses along many dimensions and the symptoms vary from patient to patient. As a result, traditional disease modeling does not apply to Parkinson”™s. By using IBM”™s AI tools, the researchers”™ modeling decisions opened a new door into understanding the disease”™s multiple states and progression pathways.
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