Geriatrics

Materiobiology-guided regulation of mesenchymal stromal cell fate for aging-related diseases: From basic parameter design to clinical application.

Mesenchymal stromal cells (MSCs) possess potent immunomodulatory, pro-angiogenic, and regenerative capacities, offering broad clinical promise in regenerative medicine. However, clinical application is constrained by low in vivo survival, poor targeting, variable efficacy, replicative senescence and insufficiently characterized in vivo cell fate. The accelerating global aging trend further complic...

Replication of the Association between Retinal Aging Clock Susceptibility Genes and Retinal Age Gap in an Asian Population: The Nagahama Study.

PURPOSE: To replicate previously reported genetic associations for the retinal aging clock-quantified as the retinal age gap-in an East Asian population and to assess cross-ancestry consistency of effect directions and sizes. DESIGN: Genetic association study with candidate-single nucleotide polymorphism (SNP) replication embedded in a population-based cohort. PARTICIPANTS: Individuals who partici...

Molecular basis of muscle wasting and emerging therapeutic strategies targeting degenerative muscle disorders.

Muscle degenerative conditions, including sarcopenia, muscular dystrophies, and trauma-induced muscle loss, severely compromise mobility, metabolism, ...

Resource constrained learning over wireless networks.

It is anticipated that the next generation of wireless networks will incorporate artificial intelligence (AI) to a significant degree at all network l...

Identification of key genes modules linking brain aging signatures and COVID-19-associated cognitive impairment.

BACKGROUND: Emerging evidence indicates that SARS-CoV-2 infection is associated with aging, particularly in memory-related domains. However, the molec...

Early Diagnosis of Alzheimer's: Machine Learning Analysis Leveraging Structural MRI.

INTRODUCTION: Alzheimer's disease (AD) is characterized by significant brain atrophy, detectable via structural MRI. There has been less focus on cort...

LCMS-Net: Deep Learning for Raw High Resolution Mass Spectrometry Data Applied to Forensic Cause-of-Death Screening.

Current preprocessing workflows for untargeted metabolomics using liquid chromatography-high resolution mass spectrometry (LC-HRMS) are time-consuming...

Right and Left Atrial Dysfunction as Independent Cardiovascular Risk Factors: A UK Biobank Study.

BACKGROUND: Atrial cardiopathy often precedes atrial fibrillation (AF) and has emerged as an independent risk factor for cardiovascular outcomes. Howe...

Quantum Sensing for Precision Organ Aging Assessment.

Aging proceeds heterogeneously across organs, making chronological age an inadequate measure of physiological decline. The concept of organ biological...

Applications of artificial intelligence for real-world evidence generation: a protocol for a living scoping review.

INTRODUCTION: Artificial intelligence (AI) is rapidly evolving, offering an expanding suite of capabilities that go beyond the traditional focus on pr...

From wrist data to lifespan: elucidating inflammation-driven biological aging via activity rhythms captured by wearable devices.

Systemic inflammation ("inflammaging") accelerates biological aging and drives cardiovascular, metabolic, and neurodegenerative disease. Circadian rhy...

Predicting rates of cognitive and functional decline in Alzheimer's disease and mild cognitive impairment.

BACKGROUND: The global population of People Living with Dementia (PLWD) is expected to grow rapidly in the coming decades, increasing the need for per...

Explainable deep learning framework incorporating medical knowledge for insulin titration in diabetes.

BACKGROUND: Deep learning has shown promise in diabetes management but faces challenges in real-world application due to its "black-box" nature, chara...

A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.

Computational blind challenges offer critical, unbiased opportunities to assess and accelerate scientific progress, as demonstrated by a breadth of br...

Deep Learning-Based Prediction of Trabecular Bone Mineral Density From Lumbar CT: A Superior Alternative to DEXA in Hyperostosis.

Study DesignRetrospective Cohort Study.ObjectivesThis study explores using deep learning to predict lumbar spine bone mineral density (BMD) from CT im...

Integrative computational and experimental identification of marine bacterial acetylcholinesterase inhibitors against alzheimer's disease.

Alzheimer's disease (AD) is a powerful neurodegenerative disease characterized by cholinergic deficiency, where the inhibition of acetylcholinesterase...

Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations.

BACKGROUND: Postoperative intensive care unit (ICU) admission affects 15% to 20% of surgical patients and represents a major source of morbidity and h...

Molecular sensory science combined with machine learning for exploring key odor-active compounds and aging-feature compounds of Shanxi aged vinegar.

Aroma compounds in fermented foods are from raw material or produced by microorganisms, contributing to their diverse aroma profiles. The key odor-act...

Artificial Intelligence and CT Neuroimaging in Dementia and Psychotic Disorders: A Viewpoint.

Psychotic disorders are marked by heterogeneity in symptoms and treatment response, yet efforts to develop clinically useful predictive models through...

Retinal BioAge is associated with indicators of cardiovascular-kidney-metabolic syndrome in UK and US populations.

Accelerated biological aging, as well as cardiovascular, kidney, and metabolic (CKM) diseases, contribute to shortened healthspan. We studied a deep-l...