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 1849-1869 of 11,315 articles
EMAD: Evidence-Centric Grounded Multimodal Diagnosis for Alzheimer's Disease

Deep learning models for medical image analysis often act as black boxes, seldom aligning with clini...

Balanced deep learning on multi-omics networks identifies molecular subgroups of pathological brain aging

Abstract Background Neurodegenerative diseases, including Alzheimer's disease (AD), exhibit substant...

Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis

Alzheimer's disease (AD) and Lewy body dementia (LBD) present overlapping clinical features yet requ...

HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis

Multimodal fusion frameworks, which integrate diverse medical imaging modalities (e.g., MRI, CT), ha...

Natural Language Processing Analysis of Australian Health Practitioner Disciplinary Tribunal Decisions, 1999-2026

Background: Australian health practitioners are regulated under the Health Practitioner Regulation N...

MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis

Alzheimer's disease (AD) is a progressive neurodegenerative condition necessitating early and precis...

Calmodulin controls spatial and temporal specificity of calcium-induced calcium release

Calcium dynamics controls learning and memory. Changes in calcium-induced calcium release (CICR), wh...

Treatment Effects of Cholinesterase Inhibitors in Alzheimer's Disease: a Causal Machine Learning Approach

INTRODUCTION: Treatment response in Alzheimer's disease (AD) varies substantially across patients, y...

Development and validation of neurological health score using machine learning algorithms

Neurological health score (NHS), indicating the health of brain and nervous system, helps in identif...

Genomics link obesity and type 2 diabetes to Alzheimer's disease to unveil novel biological insights

Body mass index (BMI), type 2 diabetes (T2D) and associated cardiometabolic features modify Alzheime...

Cellular Aging Signatures in the Plasma Proteome Record Human Health and Disease

Aging is asynchronous across cells and organs, but whether plasma proteins can capture cell type-spe...

Data-Driven Multimodal Subtyping Reveals Differential Cognitive Risk and Treatment Effects in the All of Us Cohort

INTRODUCTION: Cognitively unimpaired (CU) adults show substantial variation in their risk of develop...

When Fusion Helps and When It Breaks: View-Aligned Robustness in Same-Source Financial Imaging

We study same-source multi-view learning and adversarial robustness for next-day direction predictio...

Linguistic Indicators of Early Cognitive Decline in the DementiaBank Pitt Corpus: A Statistical and Machine Learning Study

Background: Subtle changes in spontaneous language production are among the earliest indicators of c...

AI System Using Unsupervised Learning to Discover Novel Subtypes in Alzheimer's Disease

Early Alzheimer's disease often evades timely detection because typical diagnostics are based on sym...

GRAD: A Two-Stage Algorithm for Resolving Diagnostic Uncertainty in the Plasma p-tau217 Gray Zone

Introduction: Plasma phosphorylated tau-217 is widely used as a plasma-based biomarker for Alzheimer...

α-Synuclein Strain Dynamics Correlate with Cognitive Shifts in Parkinson's Disease

-Synuclein (-syn) strains can serve as discriminators between Parkinson's disease (PD) and related -...

Multimodal normative modeling in Alzheimers Disease with introspective variational autoencoders

Normative modeling learns a healthy reference distribution and quantifies subject-specific deviation...

Altered Baseline Brain Network Topology in High-Risk Individuals Progressing to Mild Cognitive Impairment

Background: Identifying early brain-based markers of cognitive decline is critical for preventive st...

Single-cell machine learning uncovers genetically anchored, cell-type specific programs of Alzheimer's disease

Aging and genetic risk shape the molecular programs that confer cellular vulnerability in Alzheimer'...

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