Geriatrics

Longitudinal changes in subcortical functional connectivity during Alzheimer's disease progression.

Human cognition and behavior rely on the integration of large-scale neural networks that connect the...

Dysfunctional resting state network connectivity predicts postoperative delirium after major surgery.

BACKGROUND: Postoperative delirium is associated with increased morbidity, mortality, future cogniti...

ANGPTL4 regulates the adipogenic-osteogenic differentiation balance of bone marrow mesenchymal stem cells: A novel mechanism of osteoporosis from the perspective of lipid metabolism.

To investigate the role of lipid metabolism abnormalities in the progression of osteoporosis (OP), c...

Optimized primer and model improve precision of X chromosome telomere length determination in the Han population.

The attrition of telomere length is associated with cellular aging and plays a role in multiple age-...

Machine Learning-Enhanced Hyperspectral Raman Imaging for Label-Free Molecular Atlas of Alzheimer's Brain.

Label-free molecular imaging that enables the construction of a molecular atlas of biological tissue...

Early Alzheimer's disease classification via structure and feature-based graph attention network from multi-center data.

With the increasing Alzheimer's disease (AD) prevalence, morbidity, and mortality, its early diagnos...

Speech Biomarkers From Smartphone Calls Track Progression in REM Sleep Behavior Disorder and Parkinson's Disease.

OBJECTIVE: This 24-month longitudinal study involving isolated rapid eye movement sleep behavior dis...

Smiling difficulties in Alzheimer's disease linked to reduced nucleus accumbens and pallidum brain volume: Deep learning insights.

Patients tend to lose the ability to smile during the course of dementia. However, such impairments ...

NAD+ restores proteostasis through splicing-dependent autophagy.

Autophagy preserves neuronal integrity by clearing damaged proteins and organelles, but its efficien...

Shadow-DETR: Alleviating matching conflicts through shadow queries.

Leveraging the end-to-end detection capability enabled by one-to-one matching, DETR has achieved sta...

M44TMD: A multimodal, multi-task deep learning framework for comprehensive assessment of TMD-related abnormalities.

OBJECTIVE: Existing deep learning (DL) approaches for assessing temporomandibular disorders (TMD) ar...

Serum FSTL-1 and AI-assessed muscle parameters in cancer-related malnutrition.

OBJECTIVES: Follistatin-like protein-1 (FSTL-1) is emerging as a myokine linking skeletal and muscle...

Recent Advances in Musculoskeletal Radiology: Bridging Innovation and Clinical Application.

Recent advances in musculoskeletal (MSK) radiology have markedly improved diagnostic accuracy throug...

Comment on Development and Validation of a Machine Learning-Based Predictive Model for Postoperative Frailty in Patients with Non-Small-Cell Lung Cancer and its Relation to Early Recovery.

Integrated analysis of single-cell and bulk RNA-seq data identifies NR4A1-associated macrophages in immunoglobulin A nephropathy.

Immunoglobulin A nephropathy (IgAN), the most prevalent primary glomerulonephritis worldwide, is cha...

Tenuigenin ameliorates Alzheimer's disease by targeting MAP2K1: integrated evidence from network pharmacology and experimental validation.

OBJECTIVE: Alzheimer's disease (AD) is a prevalent neurodegenerative disorder primarily characterize...

Prediction of postoperative delirium after cardiac surgery by the interplay between preoperative plasma p-tau181 and IL-6 and heart-brain axis related factors: results from the prospective observational study FINDERI.

Postoperative delirium (POD) following cardiac surgery is a severe complication. There is evidence o...

Deep learning-based micro-CT grayscale analysis for early detection and staging of osteoporosis in rats.

BACKGROUND: Rat models are widely used in preclinical osteoporosis research to study disease mechani...

Complexity of olfactory-evoked EEG as an evidence-based marker of Alzheimer's disease.

Olfactory impairment is an early symptom of Alzheimer's disease (AD). However, currently used olfact...

Advances in occult cancer screening for patients with unprovoked venous thromboembolism: A narrative review of epidemiology, risk, and clinical strategies.

BACKGROUND: Venous thromboembolism (VTE) and cancer exhibit a bidirectional correlation. The probabi...

Multi-scale feature enhancement in multi-task learning for medical image analysis.

Traditional deep learning approaches in medical image analysis usually focus on either segmentation ...