Tevogen.AI Builds Alpha Version of PredicTcell™ Model with Microsoft and Databricks; Observes Drastic Time Reduction in Target Analysis Translating to Potential Savings of Billions in Drug Development Costs
- Tevogen.AI's model drastically reduces target analysis and has the potential to generate billions in cost savings across the healthcare system by streamlining early-stage drug discovery, reducing wet lab dependency, and accelerating timelines.
- Beyond cost savings, Tevogen.AI leadership believes AI-driven drug discovery has the potential to generate billions in top line revenues for companies who are early adopters.
- With virology datasets curated and alpha model created, Tevogen.AI will now apply PredicTcell to include oncology, expanding its scope and potentially accelerating cancer immunotherapy development.
WARREN, N.J., July 14, 2025 (GLOBE NEWSWIRE) -- Tevogen ("Tevogen Bio Holdings Inc." or "Company") (NASDAQ:TVGN) today announced that its artificial intelligence initiative, Tevogen.AI, in collaboration with Microsoft (NASDAQ:MSFT) and Databricks, has successfully built the alpha version of its foundational PredicTcell™ model.
PredicTcell is powered by a robust and scalable data engineering pipeline. Utilizing machine learning and transformer architectures trained on a terabyte-scale dataset encompassing nearly a billion genetic and proteomic elements, the model enhances target discovery. Through parallel processing and distributed computing, Tevogen.AI dramatically reduces protein sequence analysis and peptide identification from months to hours.
"This achievement underscores Tevogen.AI's commitment to revolutionizing therapeutic development through AI-driven innovation," said Mittul Mehta, Chief Information Officer and Head of Tevogen.AI. "By significantly accelerating identification of immunologically active targets, PredicTcell enables a more efficient transition into clinical research, ultimately benefiting patients. We look forward to enhancing our datasets to include the spectrum of virology, oncology and neurology to further enhance the PredicTcell platform."
"Through the development and utilization of the PredicTcell platform we have uncovered new insights and are able to quickly analyze significantly larger datasets, potentially resulting in better accuracy and reduced time for wet lab testing," said Dr. Neal Flomenberg, Chief Research and Scientific Officer.
Additional developments from Tevogen.AI's platforms, including advancements in clinical trial optimization and patient market analysis through its complementary AdapTcell™ model, are planned to be announced in subsequent communications.
Forward Looking Statements
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Contacts
Tevogen Bio Communications
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