Smartwatches Could Spot Parkinson’s Seven Years Early, New Study Finds
A cutting-edge study from Cardiff University’s UK Dementia Research Institute reveals smartwatches may diagnose Parkinson’s disease up to seven years before symptoms appear. Using artificial intelligence to analyse movement data from over 100,000 smartwatch users, researchers detected early signs of the disease based on speed of movement tracked over just one week between 2013 and 2016.
Parkinson’s: Early Detection Could Change Lives
Parkinson’s is a neurodegenerative condition marked by shaking, slow movement, and muscle stiffness. By the time patients receive a diagnosis, irreversible brain damage often has already set in. That’s why these findings are huge. With almost 30% of Brits wearing smartwatches, this tech could become a vital early warning system.
“This work could help identify Parkinson’s in its early stages and distinguish it from other movement disorders,” said Dr Kathryn Peall, a lead researcher on the project.
AI and Big Data Deliver Promising Results
The study analysed data from the UK Biobank — a health database with info on over half a million people. The AI model was able to differentiate Parkinson’s from other conditions linked to movement like ageing or frailty with impressive accuracy.
Dr Cynthia Sandor, who led the study, highlighted the huge screening potential. But questions remain about whether people want to know they might develop Parkinson’s years before symptoms strike.
Future of Parkinson’s Diagnosis and Treatment
Dr Peall added: “Early detection opens the door to developing therapies that could slow disease progression and improve patient outcomes.” However, further global studies are needed to confirm these findings and ensure smartwatches become a reliable diagnostic tool.
If validated, this breakthrough could revolutionise Parkinson’s care — offering earlier intervention and hope for millions of patients across the UK and beyond.
