Reactions: movement data can predict Parkinson's risk years before diagnosis
Parkinson's disease is usually diagnosed when there is already extensive neuronal damage and symptoms are evident. Now, researchers at Cardiff University in the UK have used movement and sleep quality data from wearable accelerometers and concluded that they can help identify the disease early, years before clinical diagnosis. Although there is no effective preventive treatment, the authors propose that the tool can determine people at risk of developing Parkinson's disease and identify participants for clinical trials of neuroprotective treatments. The results are published in the journal Nature Medicine.
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