Geriatrics

Predicting dairy cattle PL via longitudinal rumen microbiome dynamics using machine learning approaches.

Aging is a spontaneous biological process involving intricate regulatory mechanisms over time. Studi...

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 dement...

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...

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

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 ...

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, ...

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-...

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 Alz...

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 ...

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 pr...

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

Apoptotic extracellular vesicles (ApoEVs), natural bilayer nanoparticles released during programmed ...

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 individu...

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 therap...

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 indi...

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. Conventio...

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) ...

Imaging-derived biological age across multiple organs links to mortality and aging-related health outcomes.

Aging is a complex, multifactorial process, influencing disease risk and overall health. While chron...

The impact of the radical urbanization index on depression risk among middle-aged and elderly Chinese: Evidence from a large-scale cross-sectional study.

BACKGROUND: Rapid urbanization in China, while boosting socioeconomic development, has triggered "ra...

An explainable online frailty prediction model for community-dwelling older adults based on machine learning algorithms: a cross-sectional study based on retrospective health data.

BACKGROUND: Frailty is a significant health concern associated with diminished physiological reserve...

A longitudinal and explainable 2.5D deep learning framework for Alzheimer's disease progression using ADNI MRI.

Early identification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment ...

SELFormer-guided discovery of xanthohumol and cirsilineol as multi-target natural therapeutics for type 2 diabetes: computational prediction and experimental validation.

Type 2 diabetes mellitus (T2DM) requires multi-target therapeutic approaches addressing both insulin...