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 2458-2478 of 12,142 articles
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'...

A quasi-experimental study comparing a VR, computer-based, and face-to-face Alzheimer's embodiment education scenario, "Beatriz".

BACKGROUND AND OBJECTIVES: Effective education on Alzheimer's disease (AD) requires methods fosterin...

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Selectively Augmented Decision Tree for Explainable Dementia Detection

Timely and accurate diagnosis of dementia remains a critical yet challenging task. Although machine ...

APOE ε4 defines a systemic immune endophenotype independent of clinical trajectory in amyotrophic lateral sclerosis

Background: Amyotrophic lateral sclerosis (ALS) is clinically heterogeneous, and genetic modifiers m...

ExSEnt for explainable dementia detection: disentangling temporal and amplitude-driven complexity boosts EEG-based classification

Early detection of dementia enables timely intervention and better care planning. Electroencephalogr...

G2DBridge: A Multimodal Framework Linking Genetics to Disease through Imaging Intermediates

Genetic-based risk prediction is becoming increasingly available for a wide range of common diseases...

Uncertainty-Aware Image Classification In Biomedical Imaging Using Spectral-normalized Neural Gaussian Processes

Accurate histopathologic interpretation is key for clinical decision-making; however, current deep l...

Hybrid Topological and Deep Feature Fusion for Accurate MRI-Based Alzheimer's Disease Severity Classification

Early and accurate diagnosis of Alzheimer's disease (AD) remains a critical challenge in neuroimagin...

LLM-Based Annotation and Token-Augmented Modeling for Emotional Tone Classification in Online Cancer Peer-Support Posts

Online cancer peer-support communities generate large volumes of patient-authored and caregiver-auth...

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