WO2025257735 - SYSTEMS AND METHODS FOR MACHINE LEARNING MODEL-BASED PREDICTION OF IMMUNE RESPONSE

National phase entry is expected:
Publication Number WO/2025/257735
Publication Date 18.12.2025
International Application No. PCT/IB2025/055939
International Filing Date 10.06.2025
Title **
[English] SYSTEMS AND METHODS FOR MACHINE LEARNING MODEL-BASED PREDICTION OF IMMUNE RESPONSE
[French] SYSTÈMES ET PROCÉDÉS DE PRÉDICTION BASÉE SUR UN MODÈLE D'APPRENTISSAGE AUTOMATIQUE DE RÉPONSE IMMUNITAIRE
Applicants **
BIONTECH SE
Inventors
LANG, Maren
HEXEMER, Lorenz Johann Leopold
ELOFF, Ryan
ACTON, Shane
DAVIDSON, Mikhail
MESHAM, Stuart
WILKINSON, Harry
YUSUF, Ibrahim
CARRANZA, Nicolas Lopez
Priority Data
63/658,210   10.06.2024   US
63/802,233   08.05.2025   US
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Quotation for National Phase entry

Country StagesTotal
China Filing, Examination, Granting5707
EPO Filing, Examination, Granting66632
Japan Filing, Examination, Granting4066
South Korea Filing, Examination, Granting5851
USA Filing, Examination, Granting23140
MasterCard Visa
Total: 105,396
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Abstract[English] The present disclosure, among other things, provides technologies for predicting immune response (e.g., in response to an antigen) and for utilizing these predictions to create personalized cancer vaccines and viral vaccines. Among other things, systems, methods, and architectures describe a use of large language models (LLMs) and/or multi-task models for immune response predictions. The present disclosure provides models that simultaneously predict multiple immune response tasks and/or benefit from training on multiple immune response tasks. The present disclosure also provides tools for identifying antigen fragments that will, among other things, be presented as ligands for T-cell recognition.[French] La présente divulgation concerne, entre autres, des technologies permettant de prédire une réponse immunitaire (par exemple, en réponse à un antigène) et d'utiliser ces prédictions pour créer des vaccins anticancéreux personnalisés et des vaccins viraux. Entre autres, des systèmes, des procédés et des architectures décrivent l'utilisation de grands modèles de langue (LLM) et/ou de modèles multitâches pour des prédictions de réponse immunitaire. La présente divulgation concerne des modèles qui prédisent simultanément de multiples tâches de réponse immunitaire et/ou bénéficient d'un entraînement sur de multiples tâches de réponse immunitaire. La présente divulgation concerne en outre des outils permettant d'identifier des fragments d'antigène qui seront, entre autres, présentés en tant que ligands pour la reconnaissance de lymphocytes T.

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