Core Viewpoint - Tevogen Bio Holdings Inc. has announced the publication of its international patent application for a machine learning-based technology aimed at identifying immunologically active peptides, which is crucial for developing targeted therapies for diseases like cancer and infections [1][2]. Group 1: Technology and Innovation - The patented technology utilizes machine learning algorithms, developed in collaboration with Microsoft and Databricks, to enhance the identification of peptides that interact strongly with the immune system [1]. - Traditional methods for identifying these peptides often overlook important genetic diversity factors, but Tevogen.AI's approach aims to address these limitations [2]. - The technology focuses on efficiently screening and ranking potential peptides based on their immunological activity and continuously refining predictions using real-world data [6]. Group 2: Strategic Goals - The company emphasizes the importance of leveraging artificial intelligence to accelerate discovery, shorten development timelines, and reduce costs in the context of personalized T cell therapies [2]. - The goal is to deliver commercially attractive and economically viable therapies for various diseases, including cancers and infectious diseases [2].

WARREN, N.J., July 17, 2025 (GLOBE NEWSWIRE) -- Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN) today announced the signing of a letter of intent to lease a 17,428-square-foot facility in New Jersey. The facility, formerly occupied by Pfizer and Cordis, a previous division of Johnson & Johnson, should support the Company’s cell therapy manufacturing operations. This state-of-the-art facility aligns with Tevogen’s strategic goals of accelerating clinical development while maintaining cost ...

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 Viewpoint - Tevogen Bio Holdings Inc. has successfully developed the alpha version of its AI-driven PredicTcell™ model in collaboration with Microsoft and Databricks, aiming to revolutionize therapeutic development through enhanced target discovery and accelerated clinical research [1][3]. Group 1: Technology and Innovation - The PredicTcell model utilizes a terabyte-scale dataset with nearly a billion genetic and proteomic elements, significantly improving target discovery and reducing protein sequence analysis time from months to hours through advanced machine learning techniques [2][7]. - Tevogen.AI's initiatives are expected to streamline early-stage drug discovery, potentially generating billions in cost savings across the healthcare system and creating substantial top-line revenues for early adopters [7]. Group 2: Future Developments - The company plans to enhance the PredicTcell platform by expanding its datasets to include virology, oncology, and neurology, which may lead to improved accuracy and reduced time for wet lab testing [3][4]. - Additional advancements in clinical trial optimization and patient market analysis through the complementary AdapTcell™ model are anticipated to be announced in future communications [4].

Company Overview - Tevogen Bio Holdings Inc. has officially opened its newly expanded corporate headquarters in Warren, New Jersey, which was fully funded by the CEO, Ryan Saadi, resulting in no costs to the company or its shareholders [2][6]. Facility Expansion - The new facility has been completed ahead of schedule and more than doubles the previous footprint of Tevogen, allowing for the centralization of research, regulatory affairs, and the expanding Tevogen.AI teams under one roof [3][6]. Future Plans - A formal ribbon-cutting ceremony is planned to celebrate the new headquarters, which will include local officials, employees, and community partners [3].

Core Insights - Tevogen Bio Holdings Inc. emphasizes the significance of AI in drug discovery and has made a substantial investment in its new corporate headquarters [1][2] - The new facility will enhance collaboration among cross-functional teams and support the development of Tevogen's AI platforms [2][3] - The CEO's personal investment reflects strong leadership conviction in the company's mission and long-term vision for affordable cell therapies [3] Company Developments - The CEO, Ryan Saadi, M.D., M.P.H., contributed $500,000 for the build-out and first-year operating costs of the new headquarters in Warren, New Jersey [1] - The new facility more than doubles the previous operational footprint and centralizes various teams, including research and regulatory affairs [2] - The dedicated collaboration spaces are designed to facilitate the work of data scientists and engineers on Tevogen's proprietary AI platforms, PredicTcell™ and AdapTcell™ [2] Financial Outlook - The CFO, Kirti Desai, highlighted that the CEO's investment underscores the leadership's commitment to capital discipline while enabling efficient scaling [3]

Core Insights - Tevogen Bio is advancing its development of a cytotoxic T lymphocyte (CTL) therapy targeting Epstein-Barr virus (EBV)-associated lymphomas [1] - The company is utilizing its proprietary ExacTcell™ technology to manufacture EBV-specific CTLs for potential clinical trials [2] - Collaboration with Tevogen.AI aims to enhance peptide selection strategies for identifying immunologically active targets across the EBV genome [3] - The understanding of EBV-induced tumorigenesis has improved, highlighting the potential for CTLs to target EBV proteins for therapeutic breakthroughs [4] Research and Development - Computer-based selection of EBV peptides is in progress as part of preparation for clinical trials [2] - Confirmation studies are being conducted in Tevogen's R&D laboratory to validate CTL responses to selected viral peptides [2] - The collaboration with Tevogen.AI is focused on accelerating the identification of effective immunological targets [3] Scientific Insights - Recent advancements have clarified the mechanisms of EBV-induced tumorigenesis, which involve disruption of cellular pathways and promotion of malignant growth [4] - Targeting EBV proteins with specific CTLs represents a promising area for research and potential therapeutic advancements in EBV-driven cancers [4] Future Directions - Tevogen Bio plans to provide ongoing updates as its EBV research progresses through the preclinical evaluation phase [4]

R&D and cross-functional operations will be centralized in a single location to enhance collaboration and operational efficiency.Tevogen.AI, strengthened by its partnership with Microsoft, continues to expand. An update on AI and other Company assets, previously estimated to have a market value of $10 billion, is forthcoming.Shareholders will soon receive an update on Tevogen’s goal of finalizing in-house manufacturing capabilities, which are expected to support projected cumulative revenues of $10–14 billi ...

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]