Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Showing 3361-3381 of 7,395 articles
Transformer attention-based neural network for cognitive score estimation from sMRI data.

Accurately predicting cognitive scores based on structural MRI holds significant clinical value for ...

BrainAGE latent representation clustering is associated with longitudinal disease progression in early-onset Alzheimer's disease.

INTRODUCTION: Early-onset Alzheimer's disease (EOAD) population is a clinically, genetically and pat...

AI-based CT assessment of sarcopenia in borderline resectable pancreatic Cancer: A narrative review of clinical and technical perspectives.

BACKGROUND: Sarcopenia, defined as the progressive loss of skeletal muscle mass and function, has be...

Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing.

Cell therapies like Chimeric Antigen Receptor (CAR)-T cell therapy deliver living cells to patients ...

Optimizing Dementia Diagnosis Through Distance-Correlation Feature Space and Dimensionality Reduction.

The reduction of dimensionality in machine learning and artificial intelligence problems constitutes...

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...

The knowledge distillation-assisted multimodal model for osteoporosis screening.

BACKGROUND AND OBJECTIVE: Osteoporosis is characterized by reduced bone mass and deterioration of bo...

Heterogeneity in the association between internet use and dementia among older adults: A machine-learning analysis.

BACKGROUND & AIMS: Internet use among older adults may reduce the risk of dementia, but it remains u...

DeepMS: super-fast peptide identification using end-to-end deep learning method.

Mass spectrometry (MS) has emerged as a powerful omics analysis technique, particularly in proteomic...

Remote monitoring in heart failure: artificial intelligence and the use of remote speech analysis to detect worsening heart failure events.

Globally, heart failure (HF) is a leading cause of hospitalization and mortality, primarily among th...

Adaptive Diversity Induced Reweighting for long-tailed classification.

Real-world large-scale data often exhibit a long-tailed distribution, making a classifier difficult ...

BegoniaGPT: Cultivating the large language model to be an exceptional K-12 English teacher.

Large language models (LLMs) have taken the natural language processing (NLP) domain by storm, and t...

Transcriptome analysis and machine learning methods reveal potential mechanisms of zebrafish muscle aging.

Muscle is one of the most abundant tissues in the human body, and its aging usually leads to many ad...

FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation.

Subgraph federated learning (subgraph-FL) is a distributed machine learning paradigm enabling cross-...

How to measure and model cardiovascular aging.

Most acquired cardiovascular diseases are more common in older people, and the biological mechanisms...

Porous-Structure Flexible Muscle Sensor for Monitoring Muscle Function and Mass.

Muscle function and composition are important indicators of age-related health. However, current ass...

Emerging blood biomarkers in Alzheimer's disease: a proteomic perspective.

Early detection of Alzheimer's disease (AD) remains a formidable clinical challenge, but emerging bl...

The oral microbiome and its effect on exhaled breath volatile analysis-the elephant in the room.

The rapid transfer of volatiles from alveolar blood into the lungs and then out of the body in exhal...

Dynamic Training Enhances Machine Learning Potentials for Long-Lasting Molecular Dynamics.

Molecular dynamics (MD) simulations are vital for exploring complex systems in computational physics...

End Users' Perception on an AI Chatbot in a Snus Cessation Mobile Application.

This study examines end-user perceptions of an AI chatbot as a virtual therapist through a design st...

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