Geriatrics

Utilisation of intramuscular and intermuscular fat to develop a new skeletal muscle grading score which can predict treatment outcomes for locally advanced rectal cancer.

BACKGROUND: Sarcopenia has been widely studied in rectal cancer with increasing evidence to suggest ...

ProtRAP-LM: Efficient Protein Relative Accessibility Prediction and Proteome-wide Membrane Protein Screening.

Membrane proteins play pivotal roles in cellular signaling and transport, making them prime targets ...

Biomarkers help us understand how cellular and systemic aging contribute to mortality: A study utilizing a machine learning approach in the Health and Retirement Study.

BACKGROUND: Research suggests aging is a coordinated physiological decline occurring in multiple sys...

Real-time intraoperative depth estimation in transsphenoidal surgery using deep learning: A feasibility study.

PURPOSE: Endoscopic endonasal and transcranial approaches are used for the resection of various path...

Genetic risk in Alzheimer's disease.

Alzheimer's disease (AD) has a strong genetic predisposition. Genome-wide association studies have i...

Plasma ATN biomarkers across the alzheimer's disease continuum in a Chilean community- and clinic-based cohort.

BACKGROUND: Plasma biomarkers have emerged as robust indicators of Alzheimer's disease (AD) patholog...

Predicting disease-specific histone modifications and functional effects of non-coding variants by leveraging DNA language models.

BACKGROUND: Epigenetic modifications play a vital role in the pathogenesis of human diseases, partic...

Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole-Blood RNA Transcriptome.

OBJECTIVE: Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinic...

TropMol: a cloud-based web tool for virtual screening and early-stage prediction of acetylcholinesterase inhibitors using machine learning.

Alzheimer's disease (AD) is the most common type of dementia, accounting for at least two-thirds of ...

Capturing silent oxidative stress in early Alzheimer's disease: prediction of CSF biomarkers from sleep qEEG data.

Oxidative stress is a central pathogenic process in the earliest stages of Alzheimer's disease (AD),...

A deep learning and morphometric hybrid model for automated quantification of kidney interstitial fibrosis in trichrome-stained whole-slide image.

BACKGROUND: Interstitial fibrosis (IF) is the strongest predictor of chronic kidney disease progress...

Computational discovery and prioritization of ribose-5-phosphate isomerase A as a mitochondrial target for reversing senescence in mesenchymal stem cells.

Age-related osteoporosis is increasingly recognized as a disease of stem cell dysfunction, hallmarke...

Ethical considerations in home monitoring technologies for persons living with cognitive impairment: a scoping review.

BACKGROUND AND OBJECTIVES: As the global population of people living with cognitive impairment grows...

Architecting Synergy: Knowledge Graphs for Representing Complex, Multi-Domain Patient Information.

Healthcare systems exchange more data than ever, yet gaps in care persist: missed referrals, unsafe ...

AI-enhanced culturally tailored intervention for Latino family caregivers of persons living with dementia: a feasibility study.

BACKGROUND AND OBJECTIVES: CONFIDENCE is a culturally tailored intervention to reduce caregiver fina...

Diagnostic model and identification of IGFBP2 as an aging-related biomarker and therapeutic target for systemic sclerosis-associated interstitial lung disease through integrated bioinformatics and machine learning approaches.

BACKGROUND: Cellular senescence is a critical contributor to the pathogenesis of systemic sclerosis-...

A new graph-transformer framework for EEG-based differentiation of Alzheimer's disease and frontotemporal dementia.

Differentiating between Alzheimer's disease (AD), frontotemporal dementia (FTD), and cognitively nor...

Protocol for development of an AI-driven individualized frailty prediction and intervention framework for elderly patients with chronic kidney disease: causal feature learning and knowledge-distillation-based modeling study.

Linking cortical structure and delirium in the elderly: insights from cohort study and shared genetic risk analysis.

BACKGROUND: This study aimed to assess the association between regional cortical changes measured vi...

Multimodal MRI reveals hypothalamic structural-functional alterations associated with bone mineral density loss in postmenopausal women.

Emerging evidence implicates central nervous system dysregulation in the pathogenesis of osteoporosi...

Determination of Modified Waldenström Staging in Legg-Calvé-Perthes Disease Using Deep Learning.

BACKGROUND: Age and disease stage are critical factors in guiding management in Legg-Calvé-Perthes d...