Political ideology is linked to Americans’ trust in scientists as sources of cancer information, study results suggest.A ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

Background: Middle-aged and older endurance athletes have increased prevalence of coronary artery disease (CAD) on coronary CT angiography (CCTA) compared to healthy controls, despite similarly low ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Elevated maternal uric acid levels during early to mid-gestation are independently associated with an increased risk of ...

By Dr. Priyom Bose, Ph.D. A six-month produce prescription program in Los Angeles clinics shows how food-as-medicine ...

AI extracted stroke phenotypes from CT and MRI report language and improved stroke mortality prediction when added to EHR ...

A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...

Objectives: To estimate the prevalence of ambient artificial intelligence (AI) documentation tool adoption among US hospitals using Epic electronic health record (EHR) s ...

Researchers conducted a cross-sectional study to examine hepatitis B treatment trends among adults in the United States.

Central retinal artery occlusion can result in permanent vision loss. Effective treatment is lacking. We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving ...