Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...

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

PanMETAI combines AI and NMR metabolomics to detect early-stage pancreatic cancer from a blood sample, achieving 93 percent ...

York U led study found clear vaccine-initiated immune response biomarkers between HIV positive and HIV negative groups, but outliers underscore ...

Researchers say they are now able to predict Alzheimer’s disease with close to 93 percent accuracy using artificial ...

Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldstein & Fox PLLC discuss challenges in meeting patent law's disclosure requirements for inventions involving artificial intelligence, ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...