Geriatrics

A Comparison of Machine Learning-Based Models and a Simple Clinical Bedside Tool to Predict Morbidity and Mortality After Gastrointestinal Cancer Surgery in the Elderly.

Frailty in the elderly population is associated with increased vulnerability to stressors, including...

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 ...

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...

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...

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...

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 ...

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...

Screen shooting resistant watermarking based on cross attention.

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

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...

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...

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...

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

Interpretable machine learning for precision cognitive aging.

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

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....

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...

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...

Biodentine Counteracts the Aging Process of Human Dental Pulp Stem Cells Through Wnt/β-Catenin Pathway.

OBJECTIVES: This study aimed to evaluate the effects of Biodentine on human Dental Pulp Stem Cells (...

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...

The two cut-offs approach for plasma p-tau217 in detecting Alzheimer's disease in subjective cognitive decline and mild cognitive impairment.

BACKGROUND: The study aimed to explore the applicability of plasma phosphorylated tau (p-tau)217 in ...

Integrating Fine-Tuned LLM with Acoustic Features for Enhanced Detection of Alzheimer's Disease.

Dementia represents a global public health concern, with the early detection of Alzheimer's disease,...

Splenic and portal venous flow associated with frailty and sarcopenia in older outpatients with cardiovascular disease.

BACKGROUND: Older patients with cardiovascular disease often experience frailty and sarcopenia. We e...