A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
This dual experimental-numerical approach provides a rare, holistic view of bonded joint performance under ballistic loading, ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Walk into any mid-sized law firm and you will find attorneys using AI tools that analyze thousands of pages in minutes. Yet ...
Today’s observatories document every pulse and flash in the sky each night. To understand how the cosmos has changed over ...
The financial sector faces a disconnect—strong 2025 results and 2026 optimism contrast with XLF’s underperformance YTD. Read ...
Polymer extrusion transforms materials, optimizing properties through real-time Raman spectroscopy and PCA for enhanced ...
New research published in Scientific Reports provides evidence that the path from genetic predisposition to general ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Toward a Further Understanding of Suicide Risk from a Mindset Framework among Older Adults. Psychology, 17, 126-137. doi: ...
Background Low socioeconomic status (SES) is linked to increased cardiovascular risk, but its association with carotid atherosclerosis in the general population is less well studied. We examined ...
Objectives To develop a sustainable and accessible educational programme on biopsychosocial female-specific topics, for young female athletes in organised sport, their parents and coaches for future ...
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