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Smart watches are one of the most popular wearable products in the market and according to recent reports, they can make a big difference with the early diagnosis of Parkinson’s disease. The pioneering study by the Cardiff University research team, which was carried out using artificial intelligence and data analysis of more than 100,000 smartwatch users, makes it possible to diagnose Parkinson’s up to seven years before the symptoms of the disease appear. Examining the movement speed of the participants in the mentioned research for a week was one of the important measures that helped in the early diagnosis of the mentioned disease.
The research of scientists at Cardiff University has a lot of potential to screen people for early detection of Parkinson’s disease; But to confirm the validity of this method, more studies should be done and the data obtained should be matched with the information of users around the world. The study was also published in the journal Nature Medicine and highlights the need for more extensive research to confirm its findings.
Parkinson’s disease is characterized by progressive damage to brain cells over a long period of time. Classic symptoms of this disease include involuntary tremors or tremors and slow movement and muscle stiffness, and unfortunately, these symptoms are often diagnosed when irreversible damage has already occurred.
written by GizmochinaAlmost 30% of the British population use smart watches, which is a significant amount; Because promising strategies for early detection of Parkinson’s are in the early stages of development.
the doctor Cynthia Sandorhead of the research group of the study conducted at Cardiff University, says that the possibility of predicting diseases up to seven years before their actual symptoms appear based on data obtained over a period of one week could create a significant evolution in screening tools that is very valuable.
The mentioned tool not only helps in early diagnosis of diseases, but also in clinical trial recruitment and allows patients to benefit from existing treatments in the early stages. The study was based on data from the UK Biobank, a large health database with a population of over half a million people.
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