Parkinson’s disease (PD) is growing more rapidly than any other neurological disease, which makes its early detection so important. Researchers have developed a new machine-learning tool that ...

Their work, published today in Nature Machine Intelligence, has shown that computer models can accurately classify four subtypes of Parkinson's disease, with one reaching an accuracy of 95%.

Scientists discuss a machine learning-based tool that can detect Parkinson's disease years before the first onset of symptoms.

Predictors of Parkinson disease in a Medicare population—An application of machine learning in early disease detection. Presented at: ISPOR 2020; May 18-20, 2020; Abstract AI2. https://bit.ly ...

Researchers at the Australian National University (ANU) will use machine learning to help solve the mystery of how to determine the progression of Parkinson's disease.

She told UPI the development of a simple blood test for early detection of Parkinson's disease "can offer new opportunities for seeking disease-changing therapeutics, which is impossible today as ...

A groundbreaking study from researchers in China analyzing earwax with the help of artificial intelligence offers a glimmer of hope in the fight against Parkinson’s disease. Using an innovative ...

The mystery of how Parkinson’s disease progresses could be cracked thanks to researchers at the Australian National University (ANU) and machine learning.

Researchers have identified a neurochemical signature that sets Parkinson's disease apart from essential tremor—two of the ...