Tevogen Bio Expands on Microsoft Partnership to Integrate Machine Learning and AI into Preclinical Processes, Accelerating Drug Development and Reducing Costs

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Tevogen Bio Inc
Tevogen Bio Inc
  • Current timeline for drug development is 10-12 years and costs approximately $1-3 billion. Tevogen’s approach has the potential to shorten timelines and substantially reduce costs.

  • Tevogen’s AI initiative, Tevogen.AI, will pursue two key objectives, applying machine learning to existing processes to accelerate drug development and lower costs, and using Microsoft’s industry leading AI tools to develop proprietary algorithms designed to decode the relationship between genetics and T cells.

WARREN, N.J., Oct. 31, 2024 (GLOBE NEWSWIRE) -- Tevogen Bio (“Tevogen” or “Tevogen Bio Holdings Inc.”) (Nasdaq: TVGN), a clinical-stage specialty immunotherapy biotech developing off-the-shelf, genetically unmodified T cell therapeutics to treat infectious disease and cancers, shares details of its partnership with Microsoft (Nasdaq: MSFT) for Startups.

Through this partnership Tevogen.AI aims to achieve two key objectives. The first objective is to apply the principles of machine learning to rapidly expand Tevogen’s ExacTcell™ pre-clinical pipeline by performing key simulations based on the successful trial results of TVGN 489. This capability may allow Tevogen’s research team to analyze large datasets across the genome, yielding faster and more accurate target identification. The second objective uses Microsoft’s advanced AI tools to develop proprietary algorithms that decode the interactions between human leukocyte antigens (HLA) and T cells. This capability may expand Tevogen’s understanding of immune responses and identify new therapeutic opportunities, especially in areas with limited existing data.

Mittul Mehta, Chief Information Officer and Head of Tevogen.AI commented “Insights from the technical resources at Microsoft, the world’s leading AI company, identified which tools to utilize, thereby helping us build our data pipelines to aggregate and normalize the appropriate datasets across the viral spectrum. We aim to take these datasets and apply machine learning models to speed up target selection. Subsequently, the refined data will be used as part of our predictive AI technology to fulfil areas that have insufficient data thereby allowing us to address key interactions that haven’t been seen yet. Tevogen.AI will continue working with Microsoft to advance the predictive modeling by leveraging their expertise.”

“Through our partnership with Microsoft, we anticipate an initial reduction in timelines of about 10%, with further automation potentially allowing us to achieve reduction of up to 30%. This preclinical modeling not only accelerates our processes but also enhances accuracy, leading to direct and tangible cost savings. These advancements support our goal of bringing life-changing therapies to market in a faster and more cost-efficient manner,” said Dr. Neal Flomenberg, Tevogen Bio’s Chief Scientific Officer.