RATIONALE & OBJECTIVE: Generative artificial intelligence (AI) may help patients better understand the complexities of kidney transplantation. However, little is known about how individuals with chronic kidney disease (CKD) perceive AI-generated heal... read more
Fabric-based soft gloves, due to their safety, light weight, and compliance, exhibit promising potential in assisting individuals with hand impairments. However, most existing soft gloves focus solely on finger flexion and extension, with limited con... read more
Highly pathogenic avian influenza (HPAI), particularly of the H5 subtype, remains a persistent threat to poultry, wildlife, and public health across Asia. This study quantifies the influence of the El Niño-Southern Oscillation (ENSO), using the Multi... read more
BACKGROUND: Pulse pressure (PP) is an important marker of arterial stiffness and cardiovascular risk during pregnancy, yet its longitudinal determinants remain insufficiently characterized, particularly in low-resource settings. OBJECTIVE: To identif... read more
American heart journal plus : cardiology research and practice
Jan 7, 2026
BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value compared with traditional models such as Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE-AF) in patients with diabetes remains un... read more
Psoriasis impacts nearly 100 million people globally and is associated with neuropsychiatric comorbidities such as depression and anxiety. With gut microbiome dysbiosis serving as a primary pathophysiological factor, the gut-brain-skin axis provides ... read more
Effective risk stratification is crucial for managing acute coronary syndrome (ACS). This study evaluated whether general-purpose large language models (LLMs) can reliably execute the complex clinical reasoning required for cardiovascular prognosis. ... read more
OBJECTIVES: Amyloid-β (Aβ) PET is crucial for diagnosing and monitoring Alzheimer's disease (AD), but its high cost and radiation exposure limit its use. Deep learning techniques make it possible to generate PET from structured MRI data. In this stud... read more
Synthetic biology laboratories generate diverse forms of data and metadata throughout a project's life cycle, such as sequences, models, protocols, images, and time-series measurements. Unfortunately, these assets are scattered across spreadsheets, p... read more
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