Geriatrics

Alzheimer's Disease

Latest AI and machine learning research in alzheimer's disease for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 1324-1344 of 11,687 articles
The Potential Therapeutic Application of Peptides and Peptidomimetics in Cardiovascular Disease.

Cardiovascular disease (CVD) remains a leading cause of mortality and morbidity worldwide. Numerous ...

Chemical colitis caused by hydrogen peroxide enema in a child: case report and literature review.

A 2-year-old girl, previously healthy, was brought to the emergency department because of significan...

Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE mice.

BACKGROUND: This study specifically focused on anatomical MRI characterization of the low shear stre...

CaspNeuroD: a knowledgebase of predicted caspase cleavage sites in human proteins related to neurodegenerative diseases.

BACKGROUND: A variety of neurodegenerative diseases (NDs) have been associated with deregulated casp...

Icariin improves eNOS/NO pathway to prohibit the atherogenesis of apolipoprotein E-null mice.

Impaired endothelial nitric oxide synthase (eNOS)/nitric oxide (NO) pathway induces atherogenesis. T...

Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease.

Rey's Auditory Verbal Learning Test (RAVLT) is a powerful neuropsychological tool for testing episod...

Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer's Disease.

The use of wearable devices to study gait and postural control is a growing field on neurodegenerati...

Care staff perceptions of a social robot called Paro and a look-alike Plush Toy: a descriptive qualitative approach.

OBJECTIVES: Social robots such as Paro, a therapeutic companion robot, have recently been introduced...

Repetitive head impact exposure and later-life plasma total tau in former National Football League players.

INTRODUCTION: Blood protein analysis of total tau (t-tau) may be a practical screening biomarker for...

Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes.

BACKGROUND: Alzheimer's disease (AD) is a complex progressive neurodegenerative disorder commonly ch...

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.

The diagnosis of Alzheimer's disease (AD) from neuroimaging data at the pre-clinical stage has been ...

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data.

Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is st...

Robots to assist daily activities: views of older adults with Alzheimer's disease and their caregivers.

BACKGROUND: Robots have the potential to both enable older adults with dementia to perform daily act...

Combined thioflavin T-Congo red fluorescence assay for amyloid fibril detection.

Fluorescence represents one of the most powerful tools for the detection and structural characteriza...

Change in quality of life in older people with dementia participating in Paro-activity: a cluster-randomized controlled trial.

AIM: The aim of this study was to investigate effects of robot-assisted group activity with Paro on ...

Making use of longitudinal information in pattern recognition.

Longitudinal designs are widely used in medical studies as a means of observing within-subject chang...

Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.

Computer-aided diagnosis (CAD) systems constitute a powerful tool for early diagnosis of Alzheimer's...

Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest.

Alzheimer's disease (AD) is an irreversible neurodegenerative disease and affects a large population...

NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer's disease.

BACKGROUND: Neurodegenerative diseases are incurable and debilitating indications with huge social a...

Classification of patients with MCI and AD from healthy controls using directed graph measures of resting-state fMRI.

Brain network alterations in patients with Alzheimer's disease (AD) has been the subject of much inv...

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