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%.

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 ...

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

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 ...

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.

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 ...

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 ...

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

An effort to diversify genetic studies has led to a discovery about Parkinson's disease: a gene variant that raises the risk of Parkinson's in people of African ancestry.