Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

AI and machine-learning programs have entered medicine in many ways, including, but not limited to, helping to identify outbreaks of infectious diseases that may have an impact on public health; ...

The AI in precision medicine market shows strong growth prospects driven by the need for personalized therapies amid rising chronic diseases. Key opportunities include advancements in AI for ...

By Vijay Kumar Malesu By harnessing everyday clinical assessments, researchers demonstrate that personalized 12-month forecasts of cognitive and functional change in dementia can be achieved without ...

Researchers developed an AI model that analyzes health records to predict preeclampsia risk late in pregnancy, helping doctors monitor mothers and prevent complications.

The Division of Infectious Diseases celebrates a paper published documenting antibiotic stewardship efforts here at UAB. The publication by first-author Rachael Lee, MD, with senior author Pete Pappas ...

A new study reveals the dual use of a FAP molecule that inhibits fibrosis and facilitates drug delivery, offering insights ...

The adoption of machine learning approaches in systematic reviews is fundamentally transforming evidence-based medicine. Traditionally, systematic reviews have involved painstaking manual screening of ...

LEMONT, Ill.--(BUSINESS WIRE)--Batteries, like humans, require medicine to function at their best. In battery technology, this medicine comes in the form of electrolyte additives, which enhance ...