Research Square
Multimodal Transformer-Based Fusion of Blood-Based and Digital Biomarkers for Explainable (XAI) Ultra-Early Alzheimer's Disease Detection
Preprint: computational studyBiomarkers
Abstract
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.
- Deep learning
- Alzheimer's disease
- Acoustic properties of speech
- Gait kinematics
- Gait stride variability
- Humans
The paper
Université Djilali de Sidi Bel Abbès
Research Square, 19 Aug 2026, CC BY, Preprint, not peer-reviewed
