A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales.

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory failure (ARF) represents one ...