BACKGROUND: Forecasts for the future prevalence of cardiovascular disease and stroke are crucial to guide efforts to improve health outcomes across the life course for women. METHODS: Using historical ...

The landscape of domestic robotics in 2026 is no longer defined by mechanical raw power, but by the sophistication of the ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Can you describe how the untargeted ultrahigh-performance liquid chromatography–high resolution tandem mass spectrometry (UHPLC–HRMS/MS) workflow was designed to capture both known salicylates and ...

Finance - A material prepared by Alexandru Petrescu, the President of the Financial Supervisory Authority (ASF), together with ASF specialists Marius Acatrinei and ...

This study reports an important and novel finding that TENT5A, an enzyme involved in fine-tuning poly(A) tail length on selected mRNAs, is required for proper enamel mineralization in mice. The ...

Bitcoin has crashed more than 50% in a few months and every buy-the-dip is facing further downside pressure. Experts such as ...

Few researchers have addressed the issue of the causality between public deficit and economic growth. Previous work has ...

The journey towards circular high-performance composites begins with one core question: why redesign an already mature class of materials? To set the scene, we asked the consortium to describe the ...

Critically, the study validated the bridging strategy using OncoHost's PROphet (R) platform--an AI-powered, plasma proteomics-based model designed to predict immunotherapy outcomes in patients with ...

The hard truth about innovation is that it’s difficult to measure. But that doesn’t stop companies from trying.

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...