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

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...

Integrating the ultrasound sliding sign helps predict stage IV ovarian endometriosis, according to a study published in Fertility and Sterility.

University Hospitals Seidman Cancer Center researchers have developed a tool that could identify metastatic prostate cancer ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Persistent depression following transient ischemic attack is associated with a 4-fold increase in 5-year all-cause mortality and higher disability.

Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

A statewide evaluation found that California schools receiving TUPE funding delivered more antitobacco education and ...