A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

The GENCOV study developed clinical laboratory‑based risk scores to predict mortality among hospitalized COVID‑19 patients in ...

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...

Introduction Ischaemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide and poses an ...

Scientists have built an AI tool that predicts coral heat stress weeks early, giving reef managers time to act before bleaching starts.

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites along Florida's ...

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...

Abstract: Multiple sclerosis (MS), a common demyelinating disease of the central nervous system, produces a spectrum of symptoms including visual loss, muscle weakness, and coordination difficulties.