Article

The ExoGAN generative AI framework enables extracellular vesicle-based immunotherapy

2025-06-29

Abstract excerpt

<title>Abstract</title> <p>Neoantigens, specifically tumor antigenic peptides presented by MHC-I, are essential for activating cytolytic CD8+ T cells via T Cell Receptor (TCR) recognition. Neoantigens have drawn growing attention for developing novel cancer immunotherapy approaches. However, current cancer immunotherapy suffers from low and unpredictable response rates due to the heterogeneity and unknown TCR bin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d0b9ccf2-c75e-58b6-814b-518d783685e8
DOI: 10.21203/rs.3.rs-6915262/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

The ExoGAN generative AI framework enables extracellular vesicle-based immunotherapyDOI 10.21203/rs.3.rs-6915262/v1Read

DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunitySemantic proximity Read

High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networksSemantic proximity Read

Reengineering the antigen optimization process for superior neoantigen vaccine designSemantic proximity Read

Epitope Generation for Peptide-based Cancer Vaccine using Goal-directed Wasserstein Generative Adversarial Network with Gradient PenaltySemantic proximity Read

Transformer-Genetic Algorithm Co-Optimization for Neoantigen Prediction in Cancer ImmunotherapySemantic proximity Read

A unified cross-attention model for predicting antigen binding specificity to both HLA and TCR moleculesSemantic proximity Read

DeepNeoAGNet: Enhancing Cancer Immunotherapy with General Heterogeneous Sequence Learning for Precise Neoantigen Prediction and Immunogenicity AssessmentSemantic proximity Read

THLANet: A Deep Learning Framework for Predicting TCR-pHLA Binding in Immunotherapy ApplicationsSemantic proximity Read

Engineering Endogenous T Cell Receptors to Recognize Cancer Neoantigens Using a Hybrid Physics-AI ApproachSemantic proximity Read

Repertoire-level generation of T-cell epitopes with a large-scale generative transformerSemantic proximity Read

From Prediction to Synthesis: Generative AI Architectures and Digital Twins for the Future of Vaccines and Immuno-OncologySemantic proximity Read

AI-enabled virtual immunopeptidomics links quantitative neoantigen presentation to immunogenicitySemantic proximity Read