Geriatrics

AI-based staging, causal hypothesis and progression of subjects at risk of Alzheimer's disease: a multicenter study.

INTRODUCTION: In 2024, 11 European scientific societies/organizations and one patient advocacy assoc...

Ventricular volume adjustment of brain regions depicts brain changes associated with HIV infection and aging better than intracranial volume adjustment.

INTRODUCTION: While the adjustment of intracranial volume (ICV) is reported to have a significant in...

Reimagining Resilience in Aging: Leveraging AI/ML, Big Data Analytics, and Systems Innovation.

As the aging population in the United States grows, the need for an integrated approach to support o...

Investigating Elderly Individuals' Acceptance of Artificial Intelligence (AI)-Powered Companion Robots: The Influence of Individual Characteristics.

The emergence of AI companion robots is transforming the landscape of elderly care, offering numerou...

Alzheimer's diagnosis by an efficient pipelined gene selection model based on statistical and biological data analysis.

Diagnosing Alzheimer's disease based on gene expression data extracted from microarrays is still an ...

Climate crossroads: How global warming drives coronavirus emergence, the long COVID crisis of tomorrow, and AI's role in navigating our future.

This narrative review examines the critical nexus between climate change, coronavirus emergence, and...

RP-DETR: end-to-end rice pests detection using a transformer.

Pest infestations in rice crops greatly affect yield and quality, making early detection essential. ...

Brain metabolic imaging-based model identifies cognitive stability in prodromal Alzheimer's disease.

The recent approval of anti-amyloid pharmaceuticals for the treatment of Alzheimer's disease (AD) ha...

High-Resolution Spatial Profiling of Microglia Reveals Proximity Associated Immunometabolic Reprogramming in Alzheimer's Disease.

Single-cell RNA sequencing has demonstrated that the presence of parenchymal amyloid plaques and int...

Dynamic Predictive Models of Cardiogenic Shock in STEMI: Focus on Interventional and Critical Care Phases.

: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persis...

Screen shooting resistant watermarking based on cross attention.

With the development of digital imaging devices, the process of recording sensitive information disp...

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices.

The proliferation of end devices has led to a distributed computing paradigm, wherein on-device mach...

Impact of sarcopenia and obesity on mortality in older adults with SARS-CoV-2 infection: automated deep learning body composition analysis in the NAPKON-SUEP cohort.

INTRODUCTION: Severe respiratory infections pose a major challenge in clinical practice, especially ...

Assessing perioperative risks in a mixed elderly surgical population using machine learning: A multi-objective symbolic regression approach to cardiorespiratory fitness derived from cardiopulmonary exercise testing.

Accurate preoperative risk assessment is of great value to both patients and clinical teams. Several...

Interpretable machine learning for precision cognitive aging.

INTRODUCTION: Machine performance has surpassed human capabilities in various tasks, yet the opacity...

Expected length of stay in residential aged care facilities in Australia: Assessing the impact of dementia using machine learning.

Predicting Immunotherapy Response in Unresectable Hepatocellular Carcinoma: A Comparative Study of Large Language Models and Human Experts.

Hepatocellular carcinoma (HCC) is an aggressive cancer with limited biomarkers for predicting immuno...

A Large Language Model Approach to Identifying Preoperative Frailty Among Older Adults From Clinical Notes.

BACKGROUND: Patients with frailty have a higher risk of major postoperative mortality and morbidity....

In Reply to Letter to the Editor from Paudel: Comment on "Changes in iPSC-Astrocyte Morphology Reflect Alzheimer's Disease Patient Clinical Markers".

Early detection of Alzheimer's disease progression stages using hybrid of CNN and transformer encoder models.

Alzheimer's disease (AD) is a neurodegenerative disorder that affects memory and cognitive functions...

Exosomes derived from human umbilical cord mesenchymal stem cells attenuate senescence of peritoneal mesothelial cells by inhibiting oxidative stress.

OBJECTIVE: Aging is a natural process that affects cellular function. In peritoneal dialysis (PD), c...