A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

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, ...

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 ...

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

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