Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

Doctors may soon be able to diagnose an elusive form of heart disease, coronary microvascular dysfunction, within seconds by using an AI model developed at University of Michigan, according to a ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

As the science of Crohn’s disease (CD) rapidly evolves, the American Gastroenterological Association (AGA) has issued a living guideline on the pharmacologic management of moderately to severely ...

Doctors may soon be able to diagnose a tricky heart condition within seconds using artificial intelligence and a standard ...

Concordia researchers have developed a new method of monitoring and tracking how disease-causing particles, or pathogens, spread from one place to another. The tool could help contain future outbreaks ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...