Smart Breathomics is redefining the field of non-invasive diagnostics in respiratory diseases through the analysis of exhaled breath condensate (EBC). Chronic respiratory diseases (CRDs) represent a significant global health burden and are becoming i... read more
Proteomics has emerged as a key tool in precision medicine, enabling in-depth molecular characterization of digestive tumours. This article outlines a standardised workflow, encompassing sample collection, protein extraction, and unbiased proteomic a... read more
BACKGROUND: Prolonged Grief Disorder (PGD) in later life may involve volumetric patterns indicative of accelerated brain aging. This study examined whether structural brain age differs between individuals with PGD and those with integrated grief (IG)... read more
BACKGROUND: Acute renal failure remains a significant complication after open thoracoabdominal aortic aneurysm (TAAA) repair and is associated with high mortality. Rigorous risk estimation for this complication is vital for these patients. METHODS: D... read more
INTRODUCTION: Cardiovascular diseases (CVDs) remain the leading cause of global mortality, with congenital heart disease (CHD), acquired heart disease (AHD), valvular disorders, and cardiomyopathies contributing significantly to morbidity. Retinal fu... read more
RATIONALE AND OBJECTIVES: Uterine fibroids (UFs) are common benign tumors that impact women's health, particularly through symptoms such as abnormal bleeding or reproductive dysfunction. Interventional radiology (IR) techniques like uterine artery em... read more
Computer methods and programs in biomedicine
Feb 12, 2026
BACKGROUND: Protein-ligand binding affinity prediction is essential in structure-based drug design, where binding scores guide the selection of promising candidate ligands. Existing deep learning models often use 3D grids, voxelized complexes, or mol... read more
Neural networks : the official journal of the International Neural Network Society
Feb 12, 2026
Multi-view fusion has emerged as an effective paradigm for learning unified embeddings from heterogeneous sources. Graph-based methods have gained recognition for their capability to capture and align cross-view structural relationships among instanc... read more
The increasing challenge of air pollution in cities requires smart methods to make proper predictions and manage the problem. Although machine learning and deep learning models have contributed greatly to weather and pollution forecasting, the main i... read more
BACKGROUND: Integrating generative artificial intelligence (AI) in patient education has opened new avenues for creating engaging and informative content, especially in visually intensive specialties such as plastic surgery. ChatGPT-4o, developed by ... read more
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