Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

Background Multiple sclerosis (MS) is a common autoimmune illness that causes inflammation, demyelination and neurological damage. Symptom relief and immunotherapy are part of the treatment, but ...

This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...

Delphi-2M is the first open source, large-scale model for predicting a patient’s disease risk and when it may occur.

Background There are limited studies regarding risk factors for sports-related injuries in adolescent athletes.Objectives The ...

A campaign against teachers who acknowledge realities of human biology forces a choice: Teach truth and risk your job, or lie ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?

Research led by scientists at the University of São Paulo contributes to the formulation of strategies to prevent the collapse of animal protein production. Considering future global warming scenarios ...

A research team introduces the constrained PROSAIL-PRO spectra matching (CPSM) approach, which transforms unmanned aerial vehicle (UAV) multispectral data into hyperspectral-like signals spanning ...

Emergency presentations (EPs) in colorectal cancer (CRC) are common and associated with worse outcomes; many are potentially ...