- Researchers developed an AI tool to predict Parkinson’s disease from blood samples.
- The tool can predict Parkinson’s 15 years before symptom onset with 96% accuracy.
- The underlying technology could possibly be adapted for diagnosing other conditions.
Parkinson’s disease is a neurodegenerative condition
Around 90,000 people in the United States are diagnosed with Parkinson’s, and over 10 million people live with the condition worldwide. Parkinson’s is the second most common neurodegenerative condition after Alzheimer’s disease, and cases are
Currently, Parkinson’s is diagnosed based on symptoms, medical history, and a physical examination. There are no tests for Parkinson’s.
Tests that can detect Parkinson’s could improve care and management strategies for the condition.
Recently, researchers developed an AI tool that can predict signs of Parkinson’s from patients’ blood samples up to 15 years before symptom onset.
“This tool will be a game changer for Parkinson’s diagnosis by providing an objective, reliable, and highly accurate way to predict conversion in patients at risk of developing the disorder,” Dr. Mya Schiess, neurology professor and director of the Movement Disorders & Neurodegenerative Diseases Program at UTHealth Houston, who was not involved in the study, told Medical News Today.
The study was published by the American Chemical Society.
For the study, the researchers gathered healthcare data from 78 individuals from Spain. Each participant provided a blood sample between 1993 and 1996 and was followed for 15 years. Among the participants, 39 eventually received a diagnosis of Parkinson’s, whereas 39 did not.
The researchers next utilized an AI tool…
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