Scientists from UNSW Sydney with collaborators at Boston University have developed a tool that shows early promise in detecting Parkinson’s disease years before the first symptoms start appearing.

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 ...

What the trained eye cannot see: Detecting movement defects in early stage Parkinson's disease Date: August 15, 2024 Source: University of Florida Summary: Using machine learning to analyze video ...

The use of machine learning models identified three distinct subtypes of Parkinson’s disease, which could have immediate implications in detecting clinical outcomes.

Second, this machine learning approach enabled us to identify chemical markers that are the most important in accurately predicting who will develop Parkinson's disease in the future.

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.

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