A new research paper shows the approach performs significantly better than the random-walk forecasting method.

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

Correctly distinguishing between related neurodegenerative diseases remains challenging for clinicians, because reliable markers do not yet exist for many disorders. In the July 22 Neurology, ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

BOWIE, Md., Oct. 17, 2024 (GLOBE NEWSWIRE) -- Inovalon, a leading provider of cloud-based software solutions empowering data-driven healthcare, today announced the launch of its AI-powered Converged ...

NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...