Geriatrics

Integrated Multi-Omics Identification of Novel Diagnostic Biomarkers and Immunometabolic Therapeutic Targets in Osteoporosis via Machine Learning.

INTRODUCTION: Osteoporosis (OP) is a multifactorial skeletal disorder marked by reduced bone mass and microstructural deterioration. We investigated potential diagnostic biomarkers and immunometabolic targets through integrated bioinformatics and machine learning analysis. METHODS: Batch-corrected GEO transcriptomic data were analyzed by WGCNA to identify OPassociated modules. An optimal diagnosti...

The evolution of ultrasound in sarcopenia assessment: Global trends, technological shifts, and clinical frontiers.

BackgroundSarcopenia is a progressive skeletal muscle disorder associated with increased disability, morbidity, and mortality. Ultrasound has gained increasing attention as an accessible and repeatable tool for muscle assessment.ObjectiveThis study aimed to map the global research trends and technological evolution in ultrasound-based sarcopenia assessment from 1997 to 2025.MethodsA total of 1574 ...

Latent Space Projections and Atlases, a Cautionary Tale in Deep Neuroimaging using Autoencoders.

This study introduces a deep learning framework for the inferential exploration of latent representations in 3D brain MRI, leveraging a simple convolu...

Synergistic Geroprotectors Mapping through Systems Machine Learning and Graph Neural Networks.

Geroscience offers a transformative paradigm by targeting shared aging hallmarks to enable simultaneous modulation of multiple age-related disorders (...

APEX-NET: automated pancreatic evaluation network using early non-contrast CT.

OBJECTIVES: To develop and validate APEX-NET for early diagnosis and severity stratification of acute pancreatitis (AP) using non-contrast CT (NCCT), ...

Hierarchical learning creates invariant schema within plastic neural networks.

Cognitive neural circuits must balance the plasticity needed for continual learning with the stability needed to preserve an underlying reasoning fram...

Wearable sensor-based Mild Cognitive Impairment Identification: A Multi-Domain Gait Analysis Approach with Association Rule Mining.

Mild Cognitive Impairment (MCI) involves cognitive decline beyond age-expected norms without impairing daily function. Crucially, it often precedes de...

Tranquillyzer: A Neural Network Framework for Long-read Annotation and Demultiplexing.

Long-read single-cell RNA sequencing enables full-length transcript profiling but remains limited by challenges in interpreting structurally complex s...

Molecular mechanisms of erectile dysfunction in type 1 and type 2 diabetic rats: a multiomics approach.

Erectile dysfunction (ED) is a prevalent complication of both type 1 and type 2 diabetes mellitus (DM), but the shared molecular mechanisms underlying...

Quality Evaluation of Large Language Model-Assisted Generation of Initial Senior Physician Ward Round Records for Patients With Acute Poisoning: Cross-Sectional Study.

BACKGROUND: Large language models (LLMs) have shown potential in medical text generation. Senior physician ward round records are critical documents w...

Machine Learning-Based Identification and Ranking of Mortality Predictors After Hip Fracture Surgery: An Analysis of the Australian and New Zealand Hip Fracture Registry.

BACKGROUND: Hip fractures are a major global health issue with high mortality and morbidity, especially in older adults. One-year mortality post-surge...

From companion technologies to social care infrastructure: A multi-level perspective on loneliness-related support in dementia care in an era of artificial intelligence (AI).

Loneliness and social isolation are important psychosocial concerns in dementia care, but they are difficult to address through pharmacological treatm...

Automated radiographic shoulder balance assessment in scoliosis via deep learning.

The objective of this study was to develop an automated deep learning-based method for the assessment of shoulder balance in adolescent idiopathic sco...

Protocol for a Radial Pulse-Based Vascular Age Index Integrated with Traditional Korean Medicine Pulse Diagnosis.

OBJECTIVES: Vascular aging, a central determinant of cardiovascular risk, is commonly assessed by pulse wave velocity (PWV)-based indices such as caro...

Magnetic resonance imaging-based Alzheimer's disease detection using an EfficientNet-CMSACCN framework.

Alzheimer's Disease (AD) is a degenerative neurological condition characterized by memory loss, cognitive deterioration, and brain tissue shrinkage. D...

Animal models of idiopathic membranous nephropathy: Recent advances and future perspectives.

Idiopathic membranous nephropathy (IMN) is one of the main causes of adult nephrotic syndrome. A subset of untreated or inadequately treated patients ...

Agentic Artificial Intelligence-Driven Explainable Deep Learning for Deciphering Noncoding Pathogenic Mechanisms of Delirium Through Genomic Big Data Integration.

Delirium is a prevalent neuropsychiatric syndrome affecting up to 50% of hospitalized elderly patients, associated with increased mortality, cognitive...

Artificial Intelligence for Opportunistic Screening for Osteoporosis and Spine Fractures Using Computed Tomography: A Systematic Review and Meta-Analysis.

OBJECTIVE: Osteoporosis is a major global health burden and often remains undiagnosed until fragility fractures occur. Dual-energy x-ray absorptiometr...

The future of DXA: How AI is transforming bone health diagnostics.

Dual-energy X-ray absorptiometry (DXA) remains the clinical gold standard for assessing bone mineral density (BMD), guiding diagnosis and therapeutic ...

EAR-Net: Pursuing End-to-End Absolute Rotations from Multi-View Images.

Absolute rotation estimation is an important topic in 3D computer vision. Existing works in literature generally employ a multi-stage (at least two-st...