AI RESEARCH
Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework
arXiv CS.AI
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ArXi:2605.04079v1 Announce Type: cross Early and reliable detection of Alzheimer's disease (AD) is crucial for timely clinical intervention and improved patient management. It also s the evaluation of emerging therapeutic strategies. In this paper, we propose a Low-Rank Mixture of Experts (LoRA-MoE) deep learning framework for Alzheimer's disease diagnosis based on handwriting analysis. Handwriting signals provide a non-invasive and scalable digital biomarker that captures subtle cognitive-motor impairments associated with early AD progression.