Alzheimer's Disease

Hybrid deep learning model for brain age prediction using time-distributed convolutional and bidirectional LSTM networks.

Brain age prediction has gained significant attention due to its strong correlation with neurological and cognitive disorders. The discrepancy between an individual's chronological age and their predicted brain age-known as the Brain Age Gap-has been linked to conditions such as schizophrenia, Alzheimer's disease, cognitive decline, and lifestyle factors like stress and poor health. A positive Bra...

Alzheimer's disease-cancer research (inception to 2025): trends, themes, translational pathways, and insights from highly cited studies.

Alzheimer's disease-cancer research (ADCR) has gained increasing attention due to paradoxical epidemiological associations and shared yet oppositely regulated biological mechanisms; however, the field lacks an integrated synthesis of its intellectual and thematic structure. This study comprehensively mapped the longitudinal evolution, collaboration patterns, and conceptual architecture of ADCR. Sc...

Multi-scale Radiomic Fingerprint: Quantifying Spatial Changes in Biology.

Traditional radiomic studies build texture matrices using single-voxel increments. However, useful information may emerge when radiomic features are i...

Identification of a novel aβ-overlapping binding site on the TREM2 Ectodomain engaged by the small-molecule agonist VG-3927.

Triggering receptor expressed on myeloid cells 2 (TREM2) is a microglial immune receptor genetically and functionally linked to Alzheimer's disease (A...

Slow-wave-modulated high-frequency oscillations reveal early network abnormalities in pre-pathological 5XFAD mice.

Alzheimer's disease (AD) is characterized by progressive disruption of large-scale neural networks, leading to abnormal brain oscillatory activity, ye...

Disparities in Engagement with an Artificial Intelligence-Based Chat Intervention Post-appendectomy.

PURPOSE: Artificial intelligence (AI)-based text messaging, or "chat," in post-appendectomy care has been shown to decrease preventable emergency depa...

Streetview greenspace types and dementia risk in older adults: The Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Greenspace has been associated with lower dementia risk but most studies have used satellite-derived measures that cannot distinguish vege...

Caregiver Preferences for AI-Supported Telemedicine in Pediatric Palliative Care: A Discrete Choice Experiment.

BackgroundAsynchronous telemedicine may support home-based pediatric palliative care (PPC) by improving access to professional guidance and reducing c...

Sliding Integral Neural Network Driven Robust Solution for Time-Varying Quadratic Programming.

Time-varying quadratic programming (TVQP) requires efficient, accurate, and robust online solvers. Existing discrete-time (DT) recurrent neural networ...

A large dataset of brain imaging linked to health systems data: curation and access to a whole system national cohort from NHS Scotland.

We present the design and implementation of a data curation framework to generate a large-scale clinical brain imaging dataset suitable for artificial...

Dementia transition in early cognitive decline trajectories (DETECT) study: a prospective longitudinal study protocol.

BACKGROUND: Mild cognitive impairment is widely recognized as a high-risk state associated with a progression to dementia. Although previous studies h...

Machine Learning-Enhanced Ultrasensitive Immuno-CRISPR Array Facilitates Early Diagnosis of Alzheimer's Disease by Detecting Multiple Plasma Biomarkers.

Early and accurate diagnosis of Alzheimer's disease (AD) remains a significant challenge due to the multifactorial and dynamic nature of its pathology...

Evolution of Chatbots as an Educational and Supportive Digital Intervention for Family Caregivers of People With Dementia: Protocol for a Systematic Integrative Review.

BACKGROUND: Most people with dementia reside in the community and are cared for by family members. Family caregivers play an essential role in support...

Accurately Deciphering Tissue Heterogeneity From Spatial Multi-Modal and Multi-Omics With STransformer.

Advances in spatially resolved technologies enable the simultaneous acquisition of diverse data modalities within a tissue slice while preserving crit...

Scan-wise generalized PET denoising with contrastive adversarial learning.

Objective.Deep learning has significantly advanced low-count positron emission tomography (PET) denoising. However, models trained on specific distrib...

Digital Resources for Traversing the Landscape of Human Aging: Databases, Key Computational Strategies, and Artificial Intelligence.

By 2050, nearly 20% of the global population will exceed 60 years old, experiencing compromised physiological and functional abilities, neurological d...

Prevalence and a LASSO-derived prediction model for screening-positive mild cognitive impairment among older adults in Wuhan.

This study aimed to investigate the prevalence of screening-positive mild cognitive impairment (s-MCI) and to develop a parsimonious prediction model ...

Regional variability in the associations between social and health-related risk factors and memory across Europe.

Interventions targeting social and health-related risk factors are thought to reduce the risk of cognitive decline and dementia in older age. Despite ...

Measurement fidelity, not model complexity, governs individual cognitive trajectory prediction in Parkinson's disease.

Whether individual-level cognitive trajectories in Parkinson's disease are predictable remains unresolved. Here, we provide convergent evidence that m...

Association of Staphylococcus aureus bloodstream infection with 7-day incident delirium in critically Ill adults: a propensity-weighted competing risk analysis.

BACKGROUND: Delirium is a frequent manifestation of acute brain dysfunction in critically ill patients with bloodstream infections (BSI). While the as...