Analysis of UK Biobank data using machine learning shows that combining biological markers and psychosocial factors improves prediction of chronic pain conditions compared to using either alone ...

References [1] A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease. Decision Analytics Journal (2023). [2] Analyze the ...

Academic medical centers could transform patient care by adopting principles from learning health systems principles, ...

ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

In the past decade, there has been an explosion in the number of diagnostic machine learning (ML) models developed for precision oncology, with the promise of delivering increasingly accurate ...

By studying brain scans this AI model was able to differentiate between types of strokes with high accuracy.

Despite advances in air quality, global heart disease deaths tied to particulate pollution have soared, especially for seniors and in developing nations, with women facing the sharpest future rise.

The landscape of complex lung disease diagnosis and treatment has undergone a significant transformation in recent years, driven by advancements in AI and machine learning technologies.

An early adopter of machine learning, Voleon founders' pitch is that they identify alpha where other quant funds may not, using 220-plus technical staff and 70 Ph.D.s at the firm, headquartered in ...

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.

Heart disease is a major cause of death. In this article, learn about the different types, how to recognize the symptoms, and what treatment to expect.