Article

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

2026-01-30

Abstract excerpt

Artificial intelligence (AI) and machine learning (ML) have progressively reshaped vaccinology, enabling the transition from empirical antigen discovery toward computa-tionally guided reverse vaccinology. As the field enters 2026, a further conceptual shift is emerging: the use of generative AI not only to predict immune targets from existing pathogens, but to design immunogens de novo to satisfy predefined immuno...

Topics

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

Identifiers and source

Literature Corpus work: 0e46bba9-dcf6-5ca0-899c-53eba7879fc4
DOI: 10.20944/preprints202601.2335.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

From Prediction to Synthesis: Generative AI Architectures and Digital Twins for the Future of Vaccines and Immuno-OncologyDOI 10.20944/preprints202601.2335.v1Read

AI-Enabled Generative Design of Immune Cells and Receptors for Programmable ImmunitySemantic proximity Read

Ophiuchus-Ab: A Versatile Generative Foundation Model for Advanced Antibody-Based ImmunotherapySemantic proximity Read

Generative AI for Drug Discovery and Protein Design: The Next Frontier in AI-Driven Molecular ScienceSemantic proximity Read

sdAbs-LLM: Generative Large Language Models For <i>de novo</i> Antibody Design and Agentic EvaluationSemantic proximity Read

IgGM: A Generative Model for Functional Antibody and Nanobody DesignSemantic proximity Read

A Generative Foundation Model for Antibody DesignSemantic proximity Read

From Silicon to Serum: The Critical Path of Validating Computational Predictions in Modern VaccinologySemantic proximity Read

p-IgGen: A Paired Antibody Generative Language ModelSemantic proximity Read

Unlocking <i>de novo</i> antibody design with generative artificial intelligenceSemantic proximity Read

GermRL: Alleviating The Germline Bias In Autoregressive Antibody Language Models Through Reinforcement LearningSemantic proximity Read

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

Generative AI-Guided Design of High-Affinity T Cell ReceptorsSemantic proximity Read