Geriatrics

From wrinkles to malignancy: small-molecule-mediated stem cell approaches in skin aging.

Skin aging is driven by the progressive exhaustion of stem cell niches, epigenetic drift, and accumu...

Gut microbiota-derived metabolites as immune modulators in aging and age-related chronic inflammatory diseases.

Age-associated dysbiosis, marked by shifts in the composition of gut microbiota and gut microbiota-d...

LEFF-ViT: A locally enhanced vision transformer framework for accurate Alzheimer's Disease classification from brain MRI.

Early and accurate diagnosis of Alzheimer's Disease (AD) is critical for effective disease managemen...

Spatial amyloid-informed multimodal brain age as an early marker of Alzheimer's-related vulnerability and risk stratification.

BACKGROUND: Brain age gap (BAG)-the difference between predicted and chronological age-captures neur...

Opportunistic osteoporosis screening using CT-based Hounsfield units: a machine learning approach for preoperative spine surgery planning.

Perceived Potential and Challenges of Supporting Coronary Artery Disease Treatment Decisions With AI: Qualitative Study.

BACKGROUND: Coronary revascularization decision-making for patients with coronary artery disease (CA...

Identifying sex-specific predictors of frailty in Korean community-dwelling older adults using interpretable machine learning.

Open-Source Machine Learning Computed Tomography Scan Segmentation for Spine Osteoporosis Diagnostics.

BACKGROUND AND OBJECTIVES: Dual-energy x-ray absorptiometry (DXA) is the standard for assessing bone...

Hybrid neural-cognitive models reveal how memory shapes human reward learning.

A long-standing challenge for psychology and neuroscience is to understand the transformations by wh...

Explainable machine learning-based 28-day mortality prediction model for elderly patients with acute kidney injury.

Elderly patients with acute kidney injury (AKI) face a significantly increased mortality risk. Recen...

Comparative analysis of supervised and ensemble models with unsupervised exploration for alzheimer's disease prediction.

Alzheimer's disease is a progressive neurodegenerative disorder characterized by memory loss and cog...

Large-scale proteomic profiling identifies distinct inflammatory phenotypes in acute respiratory distress syndrome: a multicentre, prospective cohort study.

BACKGROUND: Host responses during acute respiratory distress syndrome are highly heterogeneous, cont...

Factors and determinants of primary care to tertiary care referrals in Singapore: A multi-centre analysis using artificial intelligence-powered large language models.

BACKGROUND: As Singapore adopts a population health approach under Healthier Singapore (Healthier SG...

Biological aging across the metabolic dysfunction-associated steatotic liver disease spectrum: A systematic review.

BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing g...

Association of urinary heavy metals with osteoporosis in US adults using interpretable machine learning.

BACKGROUND: Exposure to heavy metals in the environment has always been the focus of public concern....

Interpretable Machine Learning Model Using Digitized US Features for Classifying Complex Thyroid Nodules.

Purpose To develop a digitized integrated feature-based interpretable machine learning classificatio...

Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study.

BACKGROUND: Serious mental illnesses (SMIs) are associated with high relapse rates and limited acces...

Association of lactate-to-albumin ratio with 28-day mortality in elderly sepsis patients: a retrospective MIMIC-IV database analysis.

BACKGROUND: The lactate-to-albumin ratio (LAR) is correlated with mortality in critically ill patien...

PRDX6 as a Ferroptosis-Related Hub Gene in the Entorhinal Cortex of Alzheimer's Disease: A Multidimensional Bioinformatics and Experimental Validation Study.

Ferroptosis, an iron-dependent regulated cell death form, is a key pathogenic mechanism in Alzheimer...

Gender-related facilitators and barriers to participation in research on aging using fuzzy cognitive mapping.

In the context of cognitive neuroscience research on aging, older women are often overrepresented in...

Clinical-radiological machine learning model for non-invasive diagnosis and stratification of peripheral artery disease: a multicenter study.

BACKGROUND AND OBJECTIVE: Peripheral artery disease (PAD) is an atherosclerotic disorder prevalent i...