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

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

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 ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

New York, NY [September 4, 2025]—A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...