Back to search

Article

Multimodal Transformer-Based Fusion of Blood-Based and Digital Biomarkers for Explainable (XAI) Ultra-Early Alzheimer's Disease Detection

2026-08-19

Abstract excerpt

<title>Abstract</title> <p>Alzheimer’s disease (AD) pathology develops years in advance prior to its clinical presentation. As a result, there is an urgent need to develop extremely early diagnosis modalities that are both accurate and feasible. Existing diagnosis methods based on CSF testing and/or amyloid and tau PET scans can hardly be implemented on a wide scale due to their invasive nature or high costs. Pla...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
479c5c63-ab10-5ae2-b000-c280763609c3
DOI
10.21203/rs.3.rs-10462750/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Multimodal Transformer-Based Fusion of Blood-Based and Digital Biomarkers for Explainable (XAI) Ultra-Early Alzheimer's Disease DetectionDOI 10.21203/rs.3.rs-10462750/v1
Linguistic and Acoustic Biomarkers from Simulated Speech Reveal Early Cognitive Impairment Patterns in Alzheimer’s DiseaseSemantic proximity
An attention-augmented multimodal classification of alzheimer's disease and parkinson's disease vs healthy controls using MRI, EEG, and SNP data.Semantic proximity
A Multi-Agent AI Framework for Predicting Alzheimer’s Disease Trajectory Through Sleep-Dependent Memory Consolidation Biomarkers: A Conceptual ArchitectureSemantic proximity
Detecting Preclinical Alzheimer’s Disease Risk in Cognitively Normal Adults Using Speech Acoustics: Validation with Plasma p-Tau217 and APOE-ε4 StatusSemantic proximity
Modeling Temporal Dependencies and Feature Interactions Reveal Novel Clinical and Molecular Insights into Alzheimer’s Disease ProgressionSemantic proximity
Dynamic Preclinical Detection and Progression Prediction of Neurodegenerative Diseases Using Multi-Modal Deep LearningSemantic proximity
Automatic classification of AD pathology in FTD phenotypes using natural speech.Semantic proximity
Theta, a multidimensional ratio biomarker applied to five amyloid beta peptides for investigations in familial Alzheimer’s diseaseSemantic proximity
A new strategy on Early diagnosis of cognitive impairment via novel cross-lingual language markers: a non-invasive description and AI analysis for the cookie theft pictureSemantic proximity
Diagnostic Performance of Vision Transformer (ViT) and SPM12 in Prodromal Alzheimer’s Dementia: A Comparative 18F-FDG PET/CT StudySemantic proximity
Leveraging Transformer Models to Predict Cognitive Impairment: Accuracy, Efficiency, and InterpretabilitySemantic proximity
Wearable Gait Biomarkers and Explainable AI Identify High Prodromal Burden in Parkinson’s DiseaseSemantic proximity
Select a neighboring publication to make it the new centre.