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 ...

New machine learning framework for more accurate plant disease diagnosis Researchers have developed a new neural network that overcomes the problems of image-based plant disease detection Peer ...

Severe MS predicted using machine learning Date: January 9, 2024 Source: Linköping University Summary: A combination of only 11 proteins can predict long-term disability outcomes in multiple ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

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

The machine learning model used in this study was adapted from a previous model associated with short-term risk prediction of coronary artery disease through a binary framework based on EHR data.

Microsoft, MITRE, and 11 other organizations developed a framework to help fend off adversarial machine learning attacks.

Early diagnosis is crucial in disease prevention and treatment. Many diseases can be identified not just through physical signs and symptoms but also through changes at the cellular and molecular ...

Machine learning model predicts health conditions of people with MS during stay-at-home periods Team develops method using passively gathered smartphone, fitness tracker data Date: October 3, 2022 ...