3 papers
cs.CE2026
Entropy-Guided Reverse-Causal AI to Identify Upstream Bottleneck Genes for Alzheimer's Drug Discovery
Victor O. K. Li, Jacqueline C. K. Lam, Yang Han +1
Identifying upstream regulators that connect several disease processes to therapeutic interventions is a central objective in Alzheimer's disease drug discovery. We propose an entr…
cs.LG2025
Reverse-Speech-Finder: A Neural Network Backtracking Architecture for Generating Alzheimer's Disease Speech Samples and Improving Diagnosis Performance
Victor OK Li, Yang Han, Jacqueline CK Lam +1
This study introduces Reverse-Speech-Finder (RSF), a groundbreaking neural network backtracking architecture designed to enhance Alzheimer's Disease (AD) diagnosis through speech a…
cs.CL2025
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease
Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li +1
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease affecting 50 million people worldwide. Low-cost, accurate identification of key markers of AD is crucial for t…