Our lab presented three posters at the Alzheimer's Association International Conference (AAIC) 2025 in Toronto.

 

1. Deep-Block: Large-scale WGS Analysis for Alzheimer's Disease Risk Variant Detection Using Deep Learning
   • Taeho Jo, Eun Hye Lee, Paula J Bice, Kwangsik Nho, Andrew J Saykin
      
2. Monte Carlo Dropout for Uncertainty-Aware Alzheimer's Disease Classification Using Transformer Models on Whole-Genome Sequencing Data
   • Taeho Jo, Eun Hye Lee
      
3. A Novel Deep Learning Model with Transformer Architectures to Enable Multi-scale Whole Genome Sequence Analysis for Alzheimer's Disease Dementia Prediction
   • Eun Hye Lee, Taeho Jo
      
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