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Ai Immunology

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Ai Immunology

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Research Frontiers in Generative Models for Epitope Discovery and Design

Variational autoencoders and generative adversarial networks for discovering novel T cell and B cell epitopes with predicted immunogenicity.

Generative Immunology: Machine-Designed Epitope Landscapes
Diffusion Models in HLA-Peptide Binding Prediction
Adversarial Epitope Generation for Vaccine Resilience
Neural Latent Spaces of MHC Presentation Complexity
Generative Design of Cross-Reactive Epitope Ensembles
Foundation Models for TCR-Epitope Recognition Cartography
Multi-Modal Generation of Immunogenic Protein Fragments
Variational Learning of Conformational B-Cell Epitopes
Transformer-Based Prediction of Immunodominance Hierarchies
Generative Optimization of Neoantigen-Targeting Epitope Sequences

All AI Immunology PhD categories