Calvin Yu‐Chian Chen

The paper introduces ImmuneTwins, a digital twin framework that personalizes immune response models for individuals, improving prediction accuracy of immune trajectory changes.

scProtoTransformer provides a scalable reference mapping framework across molecular, cellular, and donor levels using a prototype-based Transformer model with improved interpretability and performance.

The paper develops ImmuneNavi, an AI model to rank traditional Chinese medicine ingredients using single-cell PBMC data by mapping immune states to a healthy coordinate system and analyzing perturbation effects.

This paper introduces PALM, a pre-trained generative large language model for de novo antibody CDRH3 design, and A2binder for predicting antigen-antibody binding, showing effectiveness against SARS-CoV-2 variants.