Geriatrics

Drug repurposing in Alzheimer's disease: Emerging therapeutic strategies and promising candidates.

Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dementia, which causes 60-70 % of cases worldwide, and its prevalence is increasing by more than 55 million people globally, with an expected increase of 139 million cases by 2050. AD is characterized by Amyloid-β plaque deposition, tau hyperphosphorylation, synaptic dysfunction, neuroinflammation, and ox...

Beyond Weight: Systems Biology and Precision Medicine Redefine Obesity as a Multidimensional Disease.

BACKGROUND: Traditional weight-centered models do not fully capture the biological complexity of obesity. Systems biology offers a new framework by integrating molecular, cellular, clinical, and environmental information to reframe obesity as a heterogeneous, multidimensional disease. AIMS: This review aims to reframe obesity as a heterogeneous, multidimensional disease by integrating molecular, c...

A double-blind, crossover, non-inferiority randomised controlled trial where primary care providers and patients compare human-generated and AI-generated digital health messages: the AI-CARE study protocol.

INTRODUCTION: Primary care is facing multiple crises, including an increase in health misinformation. Digital health messaging by primary care provide...

Inverse design of an ultra-wideband endfire grooved half-mode waveguide (G-HMWG) antenna based on the CNN approach.

This study presents an AI-assisted inverse design methodology for a compact and ultra-wideband grooved half-mode waveguide (G-HMWG) end-fire antenna. ...

Development and validation of a clinical nomogram for frailty prediction in older COPD patients: a machine learning approach.

Determinants of LV Myocardial Dyssynchrony in CHF: Impact of Mechanical and Electrical Dyssynchrony.

Chronic heart failure (CHF) patients often present with heterogeneous patterns of cardiac dyssynchrony. Although QRS prolongation (>150 ms) and left b...

Voice Biomarkers: Cognitive Impairment, including Alzheimer's Disease, Dementia, or Mild Cognitive Impairment: Introduction to Peripheral Neuropathy.

INTRODUCTION/OBJECTIVE: Alzheimer's disease (AD) can cause certain nervous disorders, which in turn can lead to voice disorders and abnormal values fo...

Toward actionable interventions in human aging (12th ARDD meeting, 2025).

The 12th Aging Research and Drug Discovery (ARDD) meeting convened at the University of Copenhagen, presenting a comprehensive overview of recent adva...

Integrating Machine Learning into Fracture Liaison Services: Toward precision risk stratification in osteoporosis care: A prospective cohort study.

BACKGROUND: Traditional fracture risk assessment tools have limitations in accurately predicting re-fracture risk. Machine learning (ML) approaches of...

Cognitive health on the fingertips: Fine motor deficiencies for assessing the risk of mild cognitive impairment in the aging adults.

OBJECTIVE: Mild cognitive impairment (MCI) represents a critical prodromal stage associated with Alzheimer's disease and other age-related neurocognit...

HCCaging: a liver physiological aging-related biomarker for hepatocellular carcinoma diagnosis based on transcriptome data.

Aging is a fundamental biological process that influences cancer development in a context-dependent manner; however, how aging-related programs manife...

Alzheimer's disease staging using enhanced inception-ResNet-V2 and improved XceptionNet models for 3D MRI classification and segmentation.

BACKGROUND: Neurologists have a significant challenge due to the progressive nature of Alzheimer's disease (AD) and its severe effects on cognitive fu...

Machine learning for frailty assessment and outcome prediction in cardiovascular disease: A scoping review.

BACKGROUND: Frailty is common among individuals with cardiovascular disease (CVD) and is a strong predictor of adverse outcomes. Machine learning (ML)...

Apoptotic extracellular vesicles act as master regulators of the bone healing niche.

Apoptotic extracellular vesicles (ApoEVs), natural bilayer nanoparticles released during programmed cell death, have emerged as pivotal regulators and...

Recalibrating the value of presence: A qualitative study on generative AI, attendance, and professional formation in undergraduate nursing.

BACKGROUND: Generative AI (genAI) is now embedded in higher education, yet its implications for undergraduate nursing students' decisions to attend vo...

LADNET: An MRI-based deep learning approach for Alzheimer's disease detection.

Alzheimer's disease (AD) is considered a leading form of dementia, found in the majority of individuals, and it accounts for the highest prevalence of...

Application of transformer-enhanced convolutional neural network: multicenter MRI assessment of muscle invasion in bladder cancer.

OBJECTIVE: Accurate preoperative assessment of muscle invasion in bladder cancer (BCa) guides therapy selection. However, MRI interpretation varies ac...

Presence hallucination induction through robotically mediated somatomotor conflicts: A pooled analysis of 25 experiments.

Hallucinations are significant symptoms in psychiatric and neurodegenerative diseases, that may indicate advanced disease progression or worse disease...

Integrating Multi-Omics and Artificial Intelligence for Personalized Breast Cancer Management: A Guide to Clinicians.

Breast cancer's (BC) diverse nature and global impact demand tailored clinical strategies. Conventional screening methods often fall short in early de...

Prediction model for frailty risk in ischemic stroke patients: Application and validation of support vector machines and nomograms.

This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) to assess frailty risk in ischemic stroke patients...