Alzheimer's Disease

Machine learning-based LASSO-Cox model for dementia prediction: the role of midlife cardiometabolic, inflammatory, and genetic risk factors in a US cohort.

PURPOSE: We aimed to identify key midlife dementia predictors and develop a novel machine learning (ML) -enabled risk prediction model. METHODS: Using data from 9,266 Atherosclerosis Risk in Communities study participants (aged 45-64 years at baseline, 1987-1989). Incident dementia was ascertained through December 2019. A ML-based LASSO-Cox model was applied to develop the risk prediction model. R...

Are diagnostic technologies for alzheimer's disease and dementia cost-effective? A systematic review of economic evaluations.

BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden globally. Early diagnosis and intervention can potentially delay disease progression. Current diagnostic guidelines recommend considering imaging and biomarker analysis in conjunction with clinical evaluation. Given limited healthcare resources, evidence on the cost-effectiveness of diagnostic technol...

Engineering nanobodies for drug delivery systems in Alzheimer's disease.

Alzheimer's disease (AD) remains a major global health challenge, with current therapies offering only symptomatic relief. A significant constraint in...

AI conversational agents in older adults with chronic disease: A scoping review.

To examine the relationship between artificial intelligence (AI) and older adults with chronic diseases a scoping review methodology was used. Using f...

The Mitochondrial Guardian α-Amyrin Mitigates Alzheimer's Disease Pathology via Modulation of the DLK-SARM1-ULK1 Axis.

High consumption of colorful fruits and vegetables correlates with low dementia risk, but the exact molecules and the underlying biological mechanisms...

Novel imidazolium salts bearing 2-oxindoles scaffold as potent acetylcholinesterase inhibitors for Alzheimer's disease: Design, synthesis, in vitro and in silico studies.

In this study, a series of thirty-five novel imidazolium salts bearing a 2-oxindoles were designed and synthesized as potent acetylcholinesterase (ACh...

Proteomics Profiling Reveals Circulating Biomarkers and Dysregulated Pathways in Transthyretin Amyloid Cardiomyopathy.

BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) causes a restrictive cardiomyopathy resulting in heart failure (HF). Signaling pathways ass...

Identifying Key Predictors of Appropriate Discharge Destinations for Older Inpatients in Acute Care: Scoping Review.

BACKGROUND: Postacute care (PAC) services are important to ensure functional recovery and provide adequate care for geriatric inpatients in acute care...

Identification of Chlamydia pneumoniae and NLRP3 inflammasome activation in Alzheimer's disease retina.

Chlamydia pneumoniae is an intracellular bacterium implicated in Alzheimer's disease (AD), but its role in retinal pathology and disease progression i...

Intelligent decision-making systems for early detection of alzheimer's disease using wearable technologies and deep learning.

Intelligent decision-making systems using wearable electronics and deep learning (DL) might identify Alzheimer's disease (AD) early for treatment. The...

Detecting cognitive impairment and psychological well-being among older adults.

The aging society urgently requires scalable methods to monitor cognitive decline and identify social and psychological factors indicative of dementia...

Early diagnosis of Alzheimer's disease from functional rs-fMRI images based on deep learning networks and transfer learning approach.

Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation of pathology results for early diagnosis of Alzhe...

An integrative multiomics random forest framework for robust biomarker discovery.

BACKGROUND: High-throughput technologies now produce a wide array of omics data, from genomic and transcriptomic profiles to epigenomic and proteomic ...

Large Language Models Improve Scene Invariant Detection of Behaviours of Risk in Dementia Residential Care Across Multiple Surveillance Camera Views.

Behavioural and psychological symptoms of dementia pose challenges to the safety and well-being of individuals in residential care. The integration of...

Proteomic profiling of single extracellular vesicles as a promising new approach for the diagnosis and treatment modality of advanced ovarian cancer.

This study utilized a novel Proximity Barcoding Assay to perform high-resolution proteomic profiling of individual plasma extracellular vesicles from ...

A multi-view DTI feature fusion framework for enhanced diagnosis of Alzheimer's disease.

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder. Diffusion tensor imaging (DTI) is widely used to detect brain alterations for ...

Neural-linguistic analysis for Alzheimer's detection: A deep learning approach informed by cognitive neuroscience.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that disrupts cognitive function across multiple domains, particularly affecting ...

The Application of Artificial Intelligence to Older Adults With Disabilities: A Scoping Review.

ObjectiveTo review the application of artificial intelligence (AI) in the care of older adults with disabilities, identifying intervention type, targe...

Program Theory and Core Outcome Set Development for a Technology-Assisted Counseling Intervention in Dementia: Multimethods Study.

BACKGROUND: Counseling in family dementia care aims to support caregivers in mastering challenges. The use of information and communication technologi...

Deep Learning-Based Classification of Temporal Stages of AT8-Labeled Tau Pathology After Experimental Traumatic Brain Injury.

Tauopathies are characterised by a progressive accumulation of hyperphosphorylated tau. However, early and intermediate stages remain challenging to q...