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
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
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| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
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| Number of Pages with Drawings | * |
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International Searching Authority |
EPO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Legal Entity
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| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 5708 | |
| EPO | Filing, Examination, Granting | 66366 | |
| Japan | Filing, Examination, Granting | 4038 | |
| South Korea | Filing, Examination, Granting | 5940 | |
| USA | Filing, Examination, Granting | 23140 |

Total:
105,192
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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.