WARREN, N.J., Dec. 11, 2025 (GLOBE NEWSWIRE) -- Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN), today announced that its Founder and CEO, Dr. Ryan Saadi has donated 230,000 of his personal shares of common stock to the Warren Township Honorary Policemen’s Benevolent Association (P.B.A.) Local 235. The Warren Township Honorary P.B.A. Local 235 is a non-profit organization dedicated to supporting local schools, community events, and charitable causes. The organization contributes to the D. ...

WARREN, N.J., Dec. 08, 2025 (GLOBE NEWSWIRE) -- Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN), today announced that it has been named to the 2025 New Jersey Power List by NJBIZ, recognizing the most influential organizations shaping New Jersey’s economic and innovation landscape. NJBIZ highlighted Tevogen’s pioneering ExacTcell™ platform, its advancing pipeline in infectious diseases, oncology, and neurology, and the Company’s internally developed PredicTcell™ AI technology, designed to ...

Core Insights - Tevogen Bio Holdings Inc. has achieved a clinical milestone by completing T cell target identification for five additional human leukocyte antigen (HLA) restrictions, expanding the accessibility of its ExacTcell™ platform [1][4] - The identification of these additional HLA targets allows for the treatment of approximately 65% of the U.S. population, significantly increasing coverage for minority populations [2][3] - The investigational T cell therapy, TVGN 489, has demonstrated 100% viral clearance in high-risk patients with COVID-19, with no reinfections or cases of Long COVID reported [7] Company Developments - The ExacTcell™ platform employs advanced immunological screening to identify immune system targets across various HLA types, aiming to provide treatments for a broader range of infectious diseases and cancers [4] - The selection of additional HLA targets is aimed at ensuring equitable access to treatments for patients of diverse racial and ethnic backgrounds [3] Market Context - Long COVID has affected approximately 35 million U.S. adults, leading to an estimated economic burden of $2.6 trillion to $3.7 trillion, highlighting the urgent need for effective treatments like Tevogen's T cell therapies [3] - The expansion of patient eligibility through multi-HLA targeting is a significant step towards universal T cell therapeutics, enhancing the potential market for Tevogen's products [7]

Core Insights - Tevogen Bio Holdings Inc. has made significant advancements in its PredicTcell™ platform, which aims to enhance precision immunotherapy through advanced machine learning and transformer-based models, supported by Microsoft and Databricks [1][3] Development Progress - The alpha version of PredicTcell was trained on over 124,000 records with transformer-based architecture and 91,000 records using traditional machine learning, achieving recall levels of approximately 92–97% and precision between 38–43% [2] - The beta version has expanded its training dataset to around 1.4 million records, with a total dataset exceeding 6.7 billion records, significantly increasing the number of features for training from 22 to 27 [5][6] Clinical Implications - The advancements in the PredicTcell platform could lead to T-cell therapies that reliably bind to their target, potentially transforming clinical success rates and reducing drug development costs [3][6] - Insights from Tevogen's ExacTcell™ platform and positive Phase 1 trial results inform the beta version's focus on higher precision in identifying virology targets [3] Market Potential - The company aims to raise efficacy standards in T-cell therapies, unlock new markets in immunotherapy, and improve patient access to life-saving therapies across various diseases, including infectious diseases and oncology [3][6]

Core Insights - Tevogen Bio Holdings Inc. emphasizes the potential of its investigational precision T cell therapy, TVGN 489, for treating Long COVID, which affects an estimated 20 million Americans [2][5] - Recent peer-reviewed studies indicate the presence of residual SARS-CoV-2 proteins and RNA long after acute infection, suggesting a viral reservoir that contributes to Long COVID symptoms [3] - TVGN 489 is designed to target multiple SARS-CoV-2 proteins across the entire viral genome, showing efficacy in reducing viral load and persisting in patients for at least 6 months without interfering with their immune responses [4] Scientific Evidence - Peer-reviewed studies published in notable journals report the detection of residual SARS-CoV-2 proteins and RNA for months to years post-infection, indicating chronic immune inflammation linked to Long COVID [3] - These findings support the development of therapeutic approaches aimed at eliminating residual virus and restoring immune homeostasis [3] Product Development - TVGN 489, derived from Tevogen's ExacTcell™ platform, is an off-the-shelf cytotoxic CD8+ T lymphocyte therapy targeting multiple viral proteins, not limited to the Spike protein [4] - In proof-of-concept trials, TVGN 489 demonstrated efficacy in reducing viral load across all patients, with CTLs persisting for at least 6 months [4] Company Outlook - The CEO of Tevogen expresses optimism regarding TVGN 489's potential to restore homeostasis in Long COVID patients, highlighting the company's preparations for clinical manufacturing [5]

Core Insights - Tevogen Bio Holdings Inc. has significant internally developed assets that are not reflected on its balance sheet but represent substantial long-term value [1][3] - The company plans to provide detailed information and valuation of these assets in the near future [1] Asset Overview - Key assets include PredicTcell™, which utilizes AI algorithms to predict peptide–T cell receptor interactions, thereby accelerating development and expanding the pipeline [1] - AdapTcell™ employs AI models to decode HLA–T cell interactions, enhancing immune system insights and revealing new therapeutic paths [2] Intellectual Property and Technology - Tevogen holds three granted U.S. patents and has twelve pending U.S. patents, including two related to artificial intelligence [6] - The company has strategic collaborations with Microsoft and Databricks to support its AI technology [6] Drug Development and Clinical Pipeline - The ExacTcell™ platform focuses on highly purified, target-specific CD8+ cytotoxic T lymphocytes (CTL) [6] - The clinical pipeline includes therapeutics designed to treat cancers while allowing patients to continue oncology care, with potential expansion into non-oncology indications [6] Financial Position - Tevogen has access to a line of credit and is well-capitalized for current operations [6] - The company is establishing internal GMP manufacturing capabilities [6] Facilities - Tevogen operates a drug discovery lab in Philadelphia and has its headquarters in New Jersey [6]

Core Viewpoint - Tevogen Bio Holdings Inc. is transitioning from a biotechnology innovator to a dynamic enterprise that integrates artificial intelligence into its operations, aiming to deliver impactful and affordable therapies through advanced science and technology [1][2]. Group 1: Company Developments - Tevogen has validated its proprietary ExacTcell™ platform and completed a successful proof-of-concept clinical trial for its first product, while also establishing a drug discovery R&D center and working on a GMP cell manufacturing facility [2]. - The company has launched its AI-driven PredicTcell™ platform, enhancing target discovery efficiency and forming strategic partnerships with technology leaders like Microsoft and Databricks [3]. - Tevogen has a robust intellectual property portfolio, with recent patent filings that secure its position in AI-driven predictive modeling [3]. Group 2: Financial Position and Growth Strategy - Tevogen is well-capitalized and has access to necessary funding to execute its growth strategy, including the development of Tevogen.AI [4]. - The company highlights a 74% insider equity ownership, reinforcing its long-term vision and commitment to its mission [2][7]. - The establishment of a new in-house cell therapy manufacturing facility is underway, which is expected to enhance operational capabilities [7]. Group 3: Innovation and Cost Efficiency - The collaboration with Microsoft and Databricks has led to a drastic reduction in target analysis time, potentially saving billions in drug development costs [7]. - The new headquarters, funded by the CEO, centralizes R&D and AI teams to accelerate innovation within the company [7].

Core Viewpoint - Tevogen Bio Holdings Inc. is expanding its AI-driven platform, Tevogen.AI, to enhance patient data integration for clinical trial participant identification, aiming to accelerate the development of personalized T cell therapies [1][2][3] Group 1: Tevogen.AI and PredicTcell™ - Tevogen.AI, supported by Microsoft and Databricks, will analyze electronic health records and real-world patient data to identify potential clinical trial participants [2] - The integration of patient data with the PredicTcell™ model is expected to enhance the ExacTcell™ pipeline development [2][3] Group 2: Clinical Trial Efficiency - Tevogen.AI aims to improve clinical trial efficiency, scalability, and inclusivity by rapidly identifying and enrolling suitable patients [3] - The initiative is designed to address critical bottlenecks in clinical development, potentially accelerating time-to-market for new therapeutic interventions [3][6] Group 3: Strategic Goals - The company’s mission focuses on achieving commercially attractive, economically viable, and cost-effective personalized T cell therapies [3] - By enhancing patient outcomes and expediting therapeutic approvals, Tevogen.AI seeks to provide a foundation for commercial success and investment growth [3]

Core Insights - Tevogen Bio Holdings Inc. is advancing its artificial intelligence initiative, Tevogen.AI™, to enhance its immunotherapy development pipeline and reduce costs [1][2] Group 1: Tevogen.AI Initiative - Tevogen.AI aims to integrate machine learning and predictive modeling with ExacTcell™ technology to improve target identification and pre-clinical processes [2] - The initiative includes two proprietary technologies with patents pending, and the company plans to expand its AI applications beyond its current scope [3] Group 2: Strategic Partnerships - Tevogen has partnered with Microsoft for AI expertise and cloud infrastructure, and with Databricks for data engineering and analytics to enhance predictive accuracy [5] Group 3: Proprietary Technologies - PredicTcell™ utilizes AI to predict immunologically active peptide complexes, improving precision in immunotherapy treatments [6] - AdapTcell™ focuses on decoding interactions between human leukocyte antigens and T cells, enhancing understanding of immune responses [8][9] Group 4: Future Plans - Tevogen.AI plans to utilize its platforms for clinical trial patient identification, aiming for efficiency and cost reduction in drug development [10]

Core Insights - Tevogen Bio Holdings Inc. plans to expand the target population for its product TVGN 489 to include patients aged 65 and older, enhancing its market potential [1] - The top-line revenue forecast for the specialty care pipeline is projected at nearly $1 billion in its launch year, with a cumulative five-year estimate ranging between $18 billion and $22 billion [1] - The expansion aims to address significant unmet medical needs, particularly in light of the new COVID variant NB.1.8.1 [2] Company Developments - Tevogen's Chief Commercial Officer emphasized the importance of expanding clinical manufacturing capacity to meet the demands posed by the new COVID variant [2] - The expanded pipeline will include treatments for SARS-CoV-2 infection in various patient groups, including those with B cell hematologic cancer and patients aged 65 and older [5] Financial Projections - The updated forecast and risk-adjusted net present value (rNPV) will be provided to reflect the inclusion of the 65+ patient population [1] - The anticipated revenue growth reflects the company's strategic focus on specialty pharmaceuticals and addressing broader market needs [1]