Analyzing Finger Taps, Voice on Cellphone May Help in Diagnosis

Collecting finger tapping, voice, and walking data on a smartphone to be digitally processed by deep machine learning tools can accurately distinguish between people with and without Parkinson’s disease, a study of more than 7,000 people reported. This approach, known integrative digital biomarkers, may help to diagnose the disease…

Dopamine Transporter Levels May Predict Parkinson’s Earlier

Lower levels of dopamine transporter protein in the striatum — a brain region affected significantly in Parkinson’s — may predict the development of the neurodegenerative disease up to eight years earlier in older adults carrying the most common genetic risk factor, a small study suggests. However, the observed variability…

Russian Researchers Create Software that Predicts Parkinson’s Symptoms

A new software can predict with an accuracy of 96 percent the form of Parkinson’s disease and future symptoms that a patient may experience. The software was the result of a collaboration between researchers at Peter the Great St. Petersburg Polytechnic University (SPbPU), the Institute of Experimental Medicine,…