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 43-63 of 11,597 articles
Reflections on dynamic prediction of Alzheimer's disease: advancements in modeling longitudinal outcomes and time-to-event data.

BACKGROUND: Individualized prediction of health outcomes supports clinical medicine and decision mak...

Multi-tissue Methylation Analysis of Alzheimer's Disease: Insights into Pathways, Modules, and Key Genes.

DNA methylation plays a crucial role in the onset and progression of Alzheimer's disease (AD). Genom...

Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression.

Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to ...

Integrated machine learning and deep learning-based virtual screening framework identifies novel natural GSK-3β inhibitors for Alzheimer's disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder lacking effective therapies. Gl...

MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI.

Purpose To develop a transformer-based deep learning model-MR-Transformer-that leverages ImageNet p...

APOE ε4 carriers share immune-related proteomic changes across neurodegenerative diseases.

The APOE ε4 genetic variant is the strongest genetic risk factor for late-onset Alzheimer's disease ...

Evaluating cognitive decline detection in aging populations with single-channel EEG features based on two studies and meta-analysis.

Timely detection of cognitive decline is paramount for effective intervention, prompting researchers...

Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models.

Positron Emission Tomography (PET) is a valuable imaging method for studying molecular-level process...

Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study.

BACKGROUND: Dementia is a progressive neurodegenerative condition that affects millions worldwide, o...

Cohort profile: China healthy aging cohort study (China-Aging).

BackgroundAs China undergoes a demographic transition towards an aging society, the prevalence and i...

A hybrid learning approach for MRI-based detection of alzheimer's disease stages using dual CNNs and ensemble classifier.

Alzheimer's Disease (AD) and related dementias are significant global health issues characterized by...

Biomarkers and therapeutic strategies targeting microglia in neurodegenerative diseases: current status and future directions.

Recent advances in our understanding of non-cell-autonomous mechanisms in neurodegenerative diseases...

Enhancing automated detection and classification of dementia in individuals with cognitive impairment using artificial intelligence techniques.

Dementia is a degenerative and chronic disorder, increasingly prevalent among older adults, posing s...

Deep ensemble learning with transformer models for enhanced Alzheimer's disease detection.

The progression of Alzheimer's disease is relentless, leading to a worsening of mental faculties ove...

Brain region localization: a rapid Parkinson's disease detection method based on EEG signals.

Parkinson's disease (PD) is a prevalent neurodegenerative disorder worldwide, often progressing to m...

Structural and pragmatic language skills in school-age children relate to resting state functional connectivity.

Language difficulties are common in school-age children but their etiology is often unknown. Althoug...

Enhanced particle swarm optimization for feature selection in SVM-based Alzheimer's disease diagnosis.

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder marked by neuronal loss, leadin...

Speech production as an artificial intelligence-based 'process' measure of cognition sensitive to mild cognitive impairment and Alzheimer's disease.

Process scores in neuropsychological tests add incremental validity for detecting non-normative cog...

Biomimetic Analysis of Neurotransmitters for Disease Diagnosis through Light-Driven Nanozyme Sensor Array and Machine Learning.

Neurological diseases, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis, p...

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