A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Medicaid managed care organizations should prioritize children in low-opportunity neighborhoods to optimize health care utilization, improve minority health, and address health-related social needs.

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Glucose dysregulation may drive cerebral small vessel disease progression through microstructural brain damage, according to ...

Background Cardiovascular disease (CVD) is the leading cause of mortality worldwide, while depression is highly prevalent in this patient population and has long been regarded as an independent risk ...

The roots of Russia's invasion of Ukraine go back decades and run deep. The current conflict is more than one country fighting to take over another; it is — in the words of one U.S. official — a shift ...

Rahul Nambiampurath has been writing and reporting about cryptocurrency since 2017. As a fan of decentralized tech, he was fascinated by the Bitcoin whitepaper. Erika Rasure is globally-recognized as ...