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Tevogen.AI Receives International Patent Publication for AI Technology Predicting Immunologically Active Peptides

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Tevogen Bio Holdings (Nasdaq: TVGN) has received an international patent publication from WIPO for its AI technology that predicts immunologically active peptides. The patent (WO 2025/129197) covers Tevogen.AI's machine learning technology, powered by Microsoft and Databricks, designed to identify peptides with strong immune system interactions.

The technology aims to overcome traditional limitations by efficiently screening peptides, eliminating ineffective candidates, and continuously refining predictions using real-world data. This innovation is particularly significant for developing targeted therapies for cancers and infectious diseases, while considering diverse genetic factors like age, sex, race, and ethnicity.

Tevogen Bio Holdings (Nasdaq: TVGN) ha ottenuto una pubblicazione di brevetto internazionale da parte di WIPO per la sua tecnologia AI che prevede peptidi immunologicamente attivi. Il brevetto (WO 2025/129197) riguarda la tecnologia di machine learning di Tevogen.AI, supportata da Microsoft e Databricks, progettata per identificare peptidi con forti interazioni con il sistema immunitario.

Questa tecnologia mira a superare le limitazioni tradizionali, selezionando efficacemente i peptidi, eliminando i candidati inefficaci e affinando continuamente le previsioni utilizzando dati reali. Questa innovazione è particolarmente importante per lo sviluppo di terapie mirate per cancro e malattie infettive, tenendo conto di fattori genetici diversi come età, sesso, razza ed etnia.

Tevogen Bio Holdings (Nasdaq: TVGN) ha recibido una publicación internacional de patente por parte de la WIPO para su tecnología de IA que predice péptidos inmunológicamente activos. La patente (WO 2025/129197) cubre la tecnología de aprendizaje automático de Tevogen.AI, impulsada por Microsoft y Databricks, diseñada para identificar péptidos con fuertes interacciones con el sistema inmunológico.

La tecnología busca superar las limitaciones tradicionales mediante la selección eficiente de péptidos, eliminando candidatos ineficaces y refinando continuamente las predicciones con datos del mundo real. Esta innovación es especialmente significativa para el desarrollo de terapias dirigidas contra cánceres y enfermedades infecciosas, considerando factores genéticos diversos como edad, sexo, raza y etnia.

Tevogen Bio Holdings (나스�: TVGN)은 면역학적으로 활성화된 펩타이드� 예측하는 AI 기술� 대� WIPO로부� 국제 특허 공보� 받았습니�. � 특허(WO 2025/129197)� Microsoft와 Databricks가 지원하� Tevogen.AI� 머신러닝 기술� 포함하며, 면역 체계와 강력하게 상호작용하는 펩타이드� 식별하도� 설계되었습니�.

� 기술은 전통적인 한계� 극복하기 위해 펩타이드� 효율적으� 선별하고, 효과 없는 후보� 제거하며, 실제 데이터를 활용� 예측� 지속적으로 개선하는 것을 목표� 합니�. � 혁신은 � � 감염� 질환� 대� 맞춤� 치료� 개발� 특히 중요하며, 연령, 성별, 인종 � 민족� 같은 다양� 유전� 요인� 고려합니�.

Tevogen Bio Holdings (Nasdaq : TVGN) a reçu une publication de brevet international de la part de l’OMPI pour sa technologie d’IA qui prédit les peptides immunologiquement actifs. Le brevet (WO 2025/129197) couvre la technologie d’apprentissage automatique de Tevogen.AI, propulsée par Microsoft et Databricks, conçue pour identifier les peptides ayant de fortes interactions avec le système immunitaire.

Cette technologie vise à dépasser les limites traditionnelles en sélectionnant efficacement les peptides, en éliminant les candidats inefficaces et en affinant continuellement les prédictions à l’aide de données réelles. Cette innovation est particulièrement importante pour le développement de thérapies ciblées contre les cancers et les maladies infectieuses, en tenant compte de divers facteurs génétiques tels que l’âge, le sexe, la race et l’ethnie.

Tevogen Bio Holdings (Nasdaq: TVGN) hat von der WIPO eine internationale Patentschrift für seine KI-Technologie erhalten, die immunologisch aktive Peptide vorhersagt. Das Patent (WO 2025/129197) umfasst die Machine-Learning-Technologie von Tevogen.AI, unterstützt von Microsoft und Databricks, die darauf ausgelegt ist, Peptide mit starken Wechselwirkungen zum Immunsystem zu identifizieren.

Die Technologie zielt darauf ab, traditionelle Einschränkungen zu überwinden, indem sie Peptide effizient screenet, unwirksame Kandidaten eliminiert und Vorhersagen kontinuierlich mithilfe von AG˹ٷwelt-Daten verfeinert. Diese Innovation ist besonders bedeutend für die Entwicklung gezielter Therapien gegen Krebs und Infektionskrankheiten, wobei verschiedene genetische Faktoren wie Alter, Geschlecht, Rasse und Ethnie berücksichtigt werden.

Positive
  • International patent publication received for AI-powered peptide prediction technology
  • Technology addresses limitations in traditional peptide identification methods
  • Partnership with major tech companies Microsoft and Databricks
  • Potential to accelerate drug development and reduce costs
  • System considers human genetic diversity factors in predictions
Negative
  • Early-stage technology with no proven commercial success yet
  • Company has limited operating history
  • Additional capital may be needed to execute business plan
  • Faces significant regulatory and development risks

Insights

Tevogen's AI patent publication marks a strategic IP milestone, potentially accelerating immunotherapy development while reducing costs.

Tevogen's international patent publication represents a significant intellectual property milestone for their AI-driven drug discovery platform. The technology addresses a critical bottleneck in immunotherapy development - identifying peptides that effectively interact with the immune system. What makes this approach particularly valuable is its ability to account for human genetic diversity factors like age, sex, race, and ethnicity that traditional methods often overlook.

The patent covers three key technical capabilities that differentiate Tevogen's platform: 1) efficient screening and ranking of peptides based on immunological activity, 2) elimination of likely ineffective peptides due to self-tolerance or human genome overlap, and 3) continuous refinement through machine learning. These capabilities directly address fundamental challenges in peptide-based therapy development.

This patent publication strengthens Tevogen's competitive position in the rapidly evolving immunotherapy space. By leveraging partnerships with technology leaders Microsoft and Databricks, Tevogen is positioning its AI platform to potentially reduce development timelines and costs for personalized T cell therapies - addressing major commercial barriers in this therapeutic category.

The strategic significance extends beyond this single patent, as it signals Tevogen's commitment to building a robust IP portfolio around AI-driven drug discovery. For a publicly-traded biotech company, such patent publications are valuable assets that can drive partnership opportunities and enhance the company's valuation proposition, especially in the current environment where AI applications in drug discovery command significant premium.

WARREN, N.J., July 18, 2025 (GLOBE NEWSWIRE) -- (“Tevogen Bio Holdings Inc.� or “Company�) (Nasdaq: ) announced today that the International Bureau of the World Intellectual Property Organization (WIPO) has published its international patent application (Publication No. WO 2025/129197) titled, "Systems and Methods for Predicting Immunologically Active Peptides with Machine Learning Models."

This patent covers technology developed by Tevogen.AI that leverages machine learning algorithms, powered by Microsoft (Nasdaq: ) and Databricks intended to rapidly and accurately identify peptides with strong immune system interactions. Identifying these peptides is critical in developing targeted therapies for a variety of diseases, including cancers and infectious diseases.

Traditional methods for identifying immunologically active peptides often face significant limitations, such as overlooking critical human genetic diversity factors like age, sex, race, and ethnicity. Tevogen.AI’s proprietary approach may overcome these challenges by:

  • Efficiently screening and ranking potential peptides based on their immunological activity.
  • Eliminating peptides likely to be ineffective due to self-tolerance or human genome overlap.
  • Continuously refining predictions using real-world data to train and enhance machine learning models.

“I’m pleased with Tevogen.AI’s continued progress in strategically harnessing artificial intelligence in support of our cell therapy development,� said Dr. Ryan Saadi, Founder and CEO of Tevogen. “Leveraging AI to accelerate discovery, shorten development timelines, and reduce costs is essential to our mission of delivering commercially attractive, economically viable, and cost-effective personalized T cell therapies.�

Forward Looking Statements

This press release contains certain forward-looking statements, including without limitation statements relating to: Tevogen’s plans for its research and manufacturing capabilities; expectations regarding future growth; expectations regarding the healthcare and biopharmaceutical industries; and Tevogen’s development of, the potential benefits of, and patient access to its product candidates for the treatment of infectious diseases and cancer. Forward-looking statements can sometimes be identified by words such as “may,� “could,� “would,� “expect,� “anticipate,� “possible,� “potential,� “goal,� “opportunity,� “project,� “believe,� “future,� and similar words and expressions or their opposites. These statements are based on management’s expectations, assumptions, estimates, projections and beliefs as of the date of this press release and are subject to a number of factors that involve known and unknown risks, delays, uncertainties and other factors not under the company’s control that may cause actual results, performance or achievements of the company to be materially different from the results, performance or other expectations expressed or implied by these forward-looking statements.

Factors that could cause actual results, performance, or achievements to differ from those expressed or implied by forward-looking statements include, but are not limited to: that Tevogen will need to raise additional capital to execute its business plan, which may not be available on acceptable terms or at all; changes in the markets in which Tevogen competes, including with respect to its competitive landscape, technology evolution, or regulatory changes; changes in domestic and global general economic conditions; the risk that Tevogen may not be able to execute its growth strategies or may experience difficulties in managing its growth and expanding operations; the risk that Tevogen may not be able to develop and maintain effective internal controls; the failure to achieve Tevogen’s commercialization and development plans and identify and realize additional opportunities, which may be affected by, among other things, competition, the ability of Tevogen to grow and manage growth economically and hire and retain key employees; the risk that Tevogen may fail to keep pace with rapid technological developments to provide new and innovative products and services or make substantial investments in unsuccessful new products and services; risks related to the ability to develop, license or acquire new therapeutics; the risk of regulatory lawsuits or proceedings relating to Tevogen’s business; uncertainties inherent in the execution, cost, and completion of preclinical studies and clinical trials; risks related to regulatory review, approval and commercial development; risks associated with intellectual property protection; Tevogen’s limited operating history; and those factors discussed or incorporated by reference in Tevogen’s Annual Report on Form 10-K.

You should not place undue reliance on forward-looking statements, which speak only as of the date they are made. Tevogen undertakes no obligation to update any forward-looking statements, except as required by applicable law.

Contacts

Tevogen Bio Communications

T: 1 877 TEVOGEN, Ext 701

[email protected]


FAQ

What is the significance of Tevogen's new AI patent publication?

The patent covers AI technology that can efficiently predict immunologically active peptides, potentially accelerating the development of targeted therapies for cancers and infectious diseases while considering genetic diversity factors.

How does Tevogen's AI technology improve peptide identification?

The technology efficiently screens and ranks peptides based on immunological activity, eliminates ineffective candidates due to self-tolerance or genome overlap, and continuously refines predictions using real-world data.

Who are Tevogen's technology partners for this AI system?

Tevogen.AI's machine learning algorithms are powered by Microsoft (Nasdaq: MSFT) and Databricks.

What are the main challenges facing Tevogen's AI technology implementation?

Key challenges include the need for additional capital, regulatory approvals, successful commercial development, and competition in rapidly evolving technological landscape.

How does Tevogen's AI technology account for patient diversity?

The technology considers critical human genetic diversity factors including age, sex, race, and ethnicity in its peptide prediction process.
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Biotechnology
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