Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: Accurate real-time prediction of the coefficient of variation (CV) is crucial for ensuring filament yarn uniformity and product quality in the chemical fiber industry. For this purpose, a ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

It’s that time of the year when PBS News Hour invites two of our regular literary critics, Ann Patchett and Maureen Corrigan, to highlight their favorite books of the year. Jeffrey Brown picks up the ...

Humans were isolated in southern Africa for about 100,000 years, which caused them to "fall outside the range of genetic variation" seen in modern-day people, a new genetic study reveals. The finding ...

Facebook cofounder Dustin Moskovitz and his wife Cari Tuna cofounded Open Philanthropy to identify charities that would create the biggest impact per dollar. Now, they’re changing its name and ...

Abstract: To support the planning and development of broadcasting, we first develop a novel fusion prediction model by introducing the coefficient of variation method (CVM) in radio wave propagation ...

The term “ballistic coefficient” (BC) is on everybody’s lips these days. It’s the driving force behind the latest wave of cartridge innovation, to the point where ammo manufacturers can hardly offer a ...