Nowhere is truly ‘safe’ from fallout and other consequences like contamination of food and water supplies and prolonged ...

Researchers from RWJBarnabas Health and Rutgers Cancer Institute, New Jersey's only National Cancer Institute-designated ...

A risk prediction model outlined in The Journal of Clinical Endocrinology & Metabolism details how the best intervention for preventing type 2 diabetes may vary between people with prediabetes.

Jethro C.C. Kwong, a urology resident from the University of Toronto, discusses a novel artificial intelligence (AI)-based model, PROGRxN-BCa, that has been developed and validated to improve the ...

Event Modeling Risk Assessment using Linked Diagrams (EMRALD) is a software tool developed at INL for researching the capabilities of dynamic PRA (Probabilistic Risk Assessment). In order to promote ...

Patient-reported outcomes (PROs) are data submited directly by patients without clinical interpretation. 1 Previous studies have demonstrated prognostic value of PROs. 2-5 The use of PROs to develop ...

Patients (n = 4407) consecutively enrolled from November, 2017 to October, 2019 in three hospitals of a prospective Chinese registry (BIomarker-based Prognostic Assessment for Patients with Stable ...

The universal risk prediction model was validated in the MESA community–based cohort; over a median follow-up of 13.7 years, 12% of participants with and without prior ASCVD developed MACE for ...

Researchers from the Johns Hopkins Bloomberg School of Public Health have developed a single "universal risk prediction model" for cardiovascular disease that, in initial tests, works well for ...