Machine learning can also be used for preventative care, such as identifying risk factors for disease and providing tailored recommendations for healthy living.

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan.

Moreover, their model outperformed more standard machine learning approaches, as well as autoencoder algorithms that were trained on just one of the imaging modalities.

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

News Health AI is influencing women’s health in new ways, from fertility to menopause A panel of women’s health leaders discuss artificial intelligence at the World Health Expo in Miami.

We may be overestimating the association between gut bacteria and disease, machine learning study finds Date: November 13, 2024 Source: Cell Press Summary: Many bacterial-linked illnesses, such as ...

Many of these devices are powered by machine-learning algorithms fueled with vast amounts of data to improve the accuracy and accessibility of disease detection.

Machine learning models rank predictive risks for Alzheimer's disease Study suggests genetic risk outweighs age in adults over 65 Date: March 30, 2023 Source: Ohio State University Summary: Once ...