Geriatrics

Cellular Senescence of Patient-derived Fibroblasts Reveals the Mid-old Stage as a Critical Window for Transcriptomic Signatures Linked to Alzheimer's Disease Biomarkers and Classification.

OBJECTIVE: Alzheimer's disease (AD) is strongly associated with aging, yet the interactions remain unclear. This study modeled replicative senescence in patient-derived fibroblasts to compare gene expression between AD dementia and controls across senescence stages and to evaluate whether stage-specific alterations reflect disease characteristics with diagnostic implications. METHODS: Dermal fibro...

Evaluating an Artificial Intelligence software for opportunistic low bone mineral density and osteoporosis screening: a validation study.

Despite the profound prevalence and fracture risk of osteoporosis, access to the gold standard DXA scans remains limited, especially in rural communities. Rho is an artificial intelligence software that can identify individuals at risk of low BMD and osteoporosis using radiographs. This study will independently validate Rho software by evaluating its performance against DXA in a retrospective coho...

Neuroanatomical-based machine learning prediction of Alzheimer's Disease across sex and age.

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss. In 2024 it affected approxima...

A review of deep learning techniques in Alzheimer's disease with emphasis on data tools and transfer learning.

Alzheimer's disease (AD) is a significant neurological condition that is marked by the gradual decline of memory and cognitive function, with a higher...

Effect of a Robot Pet Companion on the Mood of Older Adults Receiving Family Caregiver Support: Pilot RCT.

BACKGROUND AND OBJECTIVES: Use of companion robot pets to reduce social isolation and loneliness in older people is well-established. Outcomes associa...

Performance of ChatGPT versus spine surgeons as an emergency department spine call consultant.

BACKGROUND: Large language models (LLMs) like ChatGPT are increasingly being recognized as credible tools for use across diverse healthcare settings. ...

Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID.

Long COVID, or post-acute sequelae of COVID-19 (PASC), is a major global health problem, with cumulative estimates suggesting that around 400 million ...

Transcriptomic analysis of plasma small extracellular vesicles identifies potential diagnostic biomarkers for Parkinson's disease dementia.

INTRODUCTION: Blood-based biomarkers that can aid diagnosis of Parkinson's Disease (PD) dementia (PDD), and predict PDD onset in people with PD are ur...

Corrigendum to 'Machine learning-based prediction of delirium in older patients with chronic kidney disease requiring intensive care: A hospital-based retrospective cohort study' [Journal of Psychosomatic Research, 200 (2026), article PSR_112454].

AlzStack: Forecasting early-onset Alzheimer's with an explainable AI system using multiple data balancing techniques.

Alzheimer's disease (AD) is a degenerative neurological disease that progresses over time, making early detection crucial for effective intervention a...

AI-assisted chest radiograph interpretation enhances diagnostic confidence and standardizes diagnostic accuracy across radiologists: A multi-reader study.

PURPOSE: To evaluate the impact of an artificial intelligence (AI)-assisted computer-aided detection (CAD) system on the diagnostic accuracy and confi...

Enhancing end-to-end speech translation via multi-stage knowledge distillation.

Knowledge distillation (KD) using machine translation (MT) teacher models has demonstrated effectiveness in enhancing end-to-end speech-to-text transl...

Stability control of metastable states as a unified mechanism for flexible temporal modulation in cognitive processing.

Flexible modulation of temporal dynamics in neural sequences underlies many cognitive processes. For instance, we can adaptively change the speed of m...

Artificial intelligence-enabled electrocardiographic sex discordance and the risk of incident atrial fibrillation: A multinational cohort study.

BACKGROUND: Binary classification of sex fails to capture the sex-related continuum of atrial fibrillation (AF) risk. OBJECTIVE: This study aimed to d...

Statin-Induced Decade-Long Stabilization of Noncalcified Coronary Plaque Despite a Zero Calcium Score.

BACKGROUND: A 48-year-old man with a coronary artery calcium (CAC) score of 0 underwent serial artificial intelligence (AI)-assisted coronary computed...

Curcumin reprograms metabolic pathways and MAPK signaling to exert antidepressant effects.

BACKGROUND: Depression is a prevalent and debilitating mental disorder with limited treatment options. Curcumin, a natural compound with neuroprotecti...

Bot vs. doc-who is better at reading proximal humerus fracture x-rays?

BACKGROUND: Artificial intelligence is becoming increasingly utilized as a source of convenient, efficient, and cost-effective information. Considerin...

Longitudinal Study of Macular Preservation and Geographic Atrophy Progression in Age-Related Eye Disease Study 2.

PURPOSE: To investigate the natural history of macular tissue preservation in geographic atrophy (GA) by evaluating the relationship between the macul...

Characterizing the critical role of older people's overall satisfaction with green spaces for their well-being using machine learning methods: Feature extraction and predictive modeling.

This study establishes an integrative machine learning (ML) framework that bridges environmental psychology and data science to investigate the psycho...

Declining female representation with advancing academic rank in veterinary institutions from non-Western countries.

Gender equity in academic veterinary science remains underexplored outside of Western countries. This study aimed to evaluate gender representation ac...