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Tevogen Details its Artificial Intelligence Initiative, Tevogen.AI; Proprietary AI-Powered Immunotherapy with Microsoft and Databricks Partnerships

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Tevogen Bio (TVGN) has unveiled details of its Tevogen.AI initiative, featuring strategic partnerships with Microsoft and Databricks to enhance its immunotherapy development. The initiative includes two patent-pending technologies: PredicTcell, which predicts immunologically active peptide complexes and T cell receptor interactions, and AdapTcell, which decodes HLA and T cell interactions. Through Microsoft's Azure platform and AI expertise, combined with Databricks' data engineering capabilities, Tevogen aims to accelerate drug discovery, reduce development costs, and expand its therapeutic pipeline. The company is expanding its headquarters to accommodate a dedicated AI team and plans to extend applications beyond Tevogen Bio's current scope. CEO Dr. Ryan Saadi highlighted the initiative's potential impact on the $5 trillion U.S. healthcare sector.
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Positive

  • Partnership with tech giants Microsoft and Databricks provides advanced AI and cloud computing capabilities
  • Two proprietary AI technologies (PredicTcell and AdapTcell) with patents pending could accelerate drug development
  • AI integration expected to reduce clinical development costs and timelines
  • Company expanding headquarters to accommodate AI team growth

Negative

  • Internal valuation of AI assets still pending, creating uncertainty about their worth
  • Additional capital may be needed to execute business plan
  • Significant competition in healthcare AI space from established players
  • Early stage of AI implementation with unproven commercial success

News Market Reaction

+2.48%
1 alert
+2.48% News Effect

On the day this news was published, TVGNW gained 2.48%, reflecting a moderate positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

WARREN, N.J., May 30, 2025 (GLOBE NEWSWIRE) -- Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN), today provided stockholders with a detailed overview of its artificial intelligence initiative, Tevogen.AI™.

Tevogen.AI™ aims to integrate advanced machine learning and predictive modeling into Tevogen Bio’s proprietary ExacTcell™ technology to significantly enhance its target identification and pre-clinical processes, thereby strengthening the Company’s pipeline of innovative immunotherapies, accelerating clinical timelines, and substantially reducing development costs.

Tevogen.AI currently has two proprietary technologies, each with patents pending, and an internal valuation of these assets is forthcoming. The Company plans to expand its AI initiative with applications that extend well beyond Tevogen Bio. In preparation for this anticipated growth, Tevogen is expanding its headquarters to include dedicated facilities for Tevogen.AI’s team of data scientists and engineers.

Tevogen CEO, Dr. Ryan Saadi, commented, “Healthcare is one of the largest segments of our economy, projected to approach $5 trillion in the U.S. in 2025 and a significant contributor to our rising national debt. Tevogen.AI’s vision extends beyond transforming how therapies are developed; it is expected to make a meaningful impact across multiple sectors of healthcare. I applaud the leadership team at Tevogen.AI and our strategic partners for their innovative efforts and contributions that will help define the future of healthcare.”

Strategic Partnerships:

Microsoft (Nasdaq: MSFT): Provides industry-leading AI expertise, cloud computing infrastructure (Azure), and scientific resources to accelerate drug discovery processes.

Databricks: Supplies specialized data engineering and analytics capabilities to refine Tevogen’s AI models and enhance predictive accuracy.

Proprietary Tevogen.AI Technology:

PredicTcell™: AI tools capable of accurately predicting immunologically active peptide complexes and their interactions with T cell receptors, driving precision in immunotherapy treatments.

The PredicTcell platform is a collection of multiple algorithms which performs in-silico predictions for candidate selection across multiple diseases. It continually improves with each accurate prediction through model tuning and reinforcement, helping expand our understanding of T cell receptor bindings, and therefore shortening the in-vivo process and expanding Tevogen Bio’s pipeline. To date, Tevogen.AI has developed a continually expanding, terabyte-scale database that processes millions of protein and peptide interactions spanning numerous diseases and the human genome.

AdapTcell™: Algorithms to decode the interactions between human leukocyte antigens (HLA) and T cells.

AdapTcell is expected to significantly enhance Tevogen Bio’s understanding of immune responses and open new therapeutic avenues, especially in areas with minimal existing data. As our understanding of key interactions expand, AdapTcell built algorithms perform experiments unlocking insights into genetics and proteomics. The platform aims to expand upon the cross sections of genetics and protein interactions and build an HLA specificity map.

Tevogen.AI plans to expand into clinical trial patient identification using the information collected from its PredicTcell and AdapTcell platforms to drive efficiency, cost reduction and deliver targeted results.

Tevogen remains committed to transparent communication with its stockholders and will continue providing clear updates on the progress and achievements of Tevogen.AI.

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

Communications@Tevogen.com


FAQ

What are the main components of Tevogen's AI initiative?

Tevogen.AI consists of two main technologies: PredicTcell for predicting peptide-T cell receptor interactions, and AdapTcell for decoding HLA-T cell interactions, supported by partnerships with Microsoft and Databricks.

How will Microsoft and Databricks contribute to Tevogen's AI development?

Microsoft provides AI expertise and Azure cloud infrastructure, while Databricks supplies specialized data engineering and analytics capabilities to enhance predictive accuracy.

What is the purpose of Tevogen's PredicTcell technology?

PredicTcell uses AI to predict immunologically active peptide complexes and T cell receptor interactions, helping to improve precision in immunotherapy treatments and expand Tevogen's pipeline.

How does Tevogen plan to use AI in clinical trials?

Tevogen plans to use information from PredicTcell and AdapTcell platforms for clinical trial patient identification to improve efficiency, reduce costs, and deliver targeted results.

What is the market opportunity for Tevogen's AI initiative?

Tevogen is targeting the U.S. healthcare sector, projected to reach $5 trillion in 2025, with applications extending beyond their current immunotherapy focus.
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