Geriatrics

Network-based discovery of regulatory drivers of cognitive decline in alzheimer's disease.

Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder marked by progressive cognitive decline, yet its transcriptional regulatory architecture remains poorly understood. Here, we model sample-specific gene regulatory networks (GRNs) from dorsolateral prefrontal cortex transcriptomes of 87 individuals with AD and 67 non-cognitively impaired (NCI) controls and use a machine learnin...

Fault diagnosis of surge arresters via electro-thermal coupled simulation and gradient boosting tree.

The Metal-Oxide Arrester (MOA) is a crucial device for ensuring the safety of power grids, but its fault diagnosis faces the challenge of scarce actual fault samples. In this study, a 3D electro-thermal coupled simulation model is developed to reconstruct four operating conditions: internal moisture, aging of the insulating sleeve, wet contamination, and normal operation. Specifically, fault mecha...

The Influence of Robot Facial Expression and Inclusion Behavior on Rapport and Trust in Older Adults: Mixed-Factorial Experimental Study.

BACKGROUND: The World Health Organization framework for healthy aging emphasizes that the capacity to establish and sustain relationships is a vital c...

Leveraging Advanced AI Frameworks for Dual PPAR α/γ Agonist Discovery in Alzheimer's Disease.

The dual activating potential of peroxisome proliferator-activated receptors (PPAR) α and γ offers a promising way to address metabolic issues, neuroi...

Feasibility Assessment of an Intelligent Agent to Assist Preserving Healthy Hearing.

Hearing loss is a rising health concern. The World Health Organization estimates that over 1.5 billion people worldwide are currently experiencing hea...

Amyloid-like nanofilm-decorated antifouling field effect transistor biosensor array for enhancing Alzheimer's disease diagnosis.

Alzheimer's disease (AD) is a common neurodegenerative disorder. Compared to the limited specificity of single-biomarker detection, the combined detec...

Development and validation of a vision transformer model for radiographic assessment of pediatric humeroradial joint alignment.

BACKGROUND: Whether the radiographic assessments of pediatric anatomical (A-HRJA) and nonanatomical humeroradial joint alignment (NA-HRJA) among pedia...

A comparative evaluation of brain MRI modalities, modality-specific measures, brain regions, and cognitive tests for brain age prediction.

Brain age estimation using machine learning has gained significant attention as a promising approach to assess cognitive health and aging. By analyzin...

Biomarkers in predicting mortality in hemodialysis patients: recent advances.

Patients undergoing maintenance hemodialysis face annual mortality rates of 15-27%, with cardiovascular causes accounting for more than half of all de...

Cellular hallmarks and aging clock of the human lung parenchyma.

Aging affects lung function, predisposing older adults to respiratory diseases; however, the cellular and molecular mechanisms of lung aging are not f...

Interpretable machine learning for predicting mild cognitive impairment in elderly patients with type 2 diabetes mellitus: model development and performance assessment.

Type 2 diabetes mellitus (T2DM) is a prevalent chronic condition, particularly in the elderly, and is associated with an increased risk of cognitive d...

Physics-aware generative fusion via Complex-Flow Mamba enables robust 4D radar-vision perception.

4D imaging millimeter-wave radar is quickly redrawing the map for autonomous perception. However, a significant limitation persists: conventional deep...

End-to-end deep learning for flight trajectory reconstruction from multi-station ADS-B measurements.

In the field of aviation safety, ADS-B is widely adopted as an active broadcast-based aviation surveillance system, enabling aircraft to broadcast the...

Future of CT body composition research: Methodological discrepancies and advances.

Body composition research utilizing computed tomography (CT) has increased over the past several decades as researchers use clinically acquired CT for...

From Symptom Control to Precision Supportive Oncology: Integrating Artificial Intelligence in Supportive Oncology for Gastrointestinal Cancers.

PURPOSE OF REVIEW: Gastrointestinal (GI) cancers are among the most common malignancies worldwide and impose a substantial symptom burden from diagnos...

Artificial-Intelligence-Driven Electromyography Adaptation for Elderly Assistance at Physiological, Functional, and Behavioral Levels.

Older adults frequently face difficulties in activities of daily living (ADLs) due to age-related declines in strength, coordination, and perception. ...

Interactions between minimal amount of exercise and low-density lipoprotein cholesterol on incident dementia after stroke.

Cognitive impairment often follows stroke. Regular physical activity has been shown to be associated with reduced dementia risk, while the association...

Interpretable machine learning models predict cognitive impairment in adults aged 50 and over with diabetes: influence of dietary nutrients.

Introduction: diabetes mellitus increases the risk of cognitive impairment, but the role of dietary nutrients remains unclear. Objectives: to develop ...

Gait adaptation in adults with intellectual disability with and without Down syndrome: A Kinect-based neural network approach.

BackgroundRecognizing that walking is a critical marker of independence, fall risk, and overall health in adults with intellectual disability (ID) and...

Patient- and Caregiver-Informed Considerations for the Design and Implementation of Generative AI-Supported Patient-Centered Clinical Decision Support: Qualitative Study.

BACKGROUND: Generative artificial intelligence (AI) has the potential to impact health care by transforming workflows and improving outcomes. Patient-...