Geriatrics

Efficacy of a social robot-assisted training for socio-cognitive and cognitive functions in Parkinson's disease: A comparison with an active control group.

This study evaluated the efficacy of 12-week of Socially Assistive Robot (SAR) training program on s...

Silencer variants are key drivers of gene up-regulation in Alzheimer's disease.

The genetic mechanisms of ~90% of Alzheimer's disease (AD)-associated variants residing in noncoding...

GeoShapley-based interpretation of older adult pedestrian fatal vs injury crash frequency in dense urban environments.

As the world's population ages, ensuring the safety of older adult pedestrians has become an urgent ...

Clinical impact of adopting an AI-driven opportunistic bone health screening software using routine X-ray.

OBJECTIVES: To evaluate the clinical impact of an artificial intelligence device, Rho, that opportun...

Association between leukocyte telomere length and neurodegenerative diseases: a prospective cohort in the UK Biobank.

BACKGROUND: This study aims to investigate the association between leukocyte telomere length (LTL) a...

Large Language Models for Health Care Text Classification: Systematic Review.

BACKGROUND: Large language models (LLMs) have fundamentally transformed approaches to natural langua...

Early Prediction of Delirium in Postcardiac Surgery Patients: Machine Learning Model Development and External Validation.

BACKGROUND: Delirium is a frequent postoperative complication among patients who have undergone card...

A physics-informed graph neural network to approximate docking-based binding affinity for DYRK2 in Alzheimer's drug repurposing.

Alzheimer's disease (AD) requires the discovery of new therapeutic targets, but traditional molecula...

An end-to-end convolutional neural network for secure image transmission via joint encryption and steganography.

Further attachment of image-based communication speed to sensitive areas must be provided with confi...

ChatGPT-5 Matches Surgeon-Level Assessment of Facelift Candidacy: A Pilot Proof-of-Concept Study.

BACKGROUND: The use of multimodal artificial intelligence (AI) in plastic surgery is steadily increa...

Strategies for Safer Cefepime Use to Prevent Neurotoxicity Using the Electronic Health Record.

Cefepime, a cornerstone antibiotic in critical care, is associated with underrecognized cefepime-ind...

Preoperative evaluation of C2 pedicle screw placement using a deep learning model: Development and validation study.

BACKGROUND: Current preoperative assessment methods for C2 pedicle screw placement face challenges i...

Medical intelligence vs. artificial intelligence - How psychiatrists arrive at treatment algorithms.

The rise of artificial intelligence and computational methods in clinical decision-making allows for...

Integrated metabolomics and machine learning identify potential biomarkers and metabolism-related targets for MASLD in older adults.

BACKGROUND: Given the high prevalence and serious health threats of Metabolic dysfunction-associated...

A systems approach identifies MERTK as a therapeutic vulnerability in ZFTA-RELA-driven ependymomas.

Ependymomas (EPN) are rare central nervous system tumors that account for approximately 10% of intra...

Photoswitches for ion channel regulation: expanding the scope of phototherapy through computational chemistry.

The development of ion channel phototherapy using azobenzene-based photoswitchable molecules represe...

Systems Biology of Aging, Metabolism, and Mitochondria.

Since the beginning of this century, the emergence of systems biology, driven by technological, info...

Unsupervised Disentanglement of Brain Heterogeneity for Identifying Subtypes of Alzheimer's Disease.

Neuroanatomical heterogeneity in Alzheimer's disease (AD) hinders precision diagnosis and treatment,...

Understanding patient experience during Lokomat rehabilitation in children and adolescents: a clinical observational study combining self-evaluation and physiological metrics.

OBJECTIVES: To examine the emotional, cognitive and dispositional experience of children and adolesc...

Alzheimer's disease prediction using deep learning and XAI based interpretable feature selection from blood gene expression data.

Alzheimer's disease (AD), a type of neurodegenerative disorder, has seen an increase in cases over t...

Machine learning evaluation of the discriminative ability of Castelli Risk Index-I and other non-traditional lipid indices for sarcopenia: a cross-sectional study based on CHARLS.