Tevogen.AI Receives International Patent Publication for AI Technology Predicting Immunologically Active Peptides
ByAinvest
Friday, Jul 18, 2025 12:38 pm ET1min read
MSFT--
The technology, powered by Microsoft and Databricks, aims to overcome traditional limitations in peptide screening by efficiently ranking and eliminating ineffective candidates. It continuously refines its predictions using real-world data, making it particularly valuable for developing targeted therapies for cancers and infectious diseases. This approach accounts for diverse genetic factors such as age, sex, race, and ethnicity, which traditional methods often overlook [1].
The patent publication marks a strategic intellectual property milestone for Tevogen, positioning its AI platform to potentially reduce development timelines and costs for personalized T cell therapies. By leveraging partnerships with technology leaders like Microsoft and Databricks, Tevogen is enhancing its competitive edge in the rapidly evolving immunotherapy space [1].
This patent publication not only strengthens Tevogen's competitive position but also signals its commitment to building a robust IP portfolio around AI-driven drug discovery. For a publicly-traded biotech company, such patent publications are valuable assets that can drive partnership opportunities and enhance the company's valuation proposition, especially in the current environment where AI applications in drug discovery command significant premium [1].
References:
[1] https://www.stocktitan.net/news/TVGNW/tevogen-ai-receives-international-patent-publication-for-ai-j7vgugbdr9lw.html
TVGN--
Tevogen.AI has received international patent publication for its AI technology predicting immunologically active peptides. The technology leverages machine learning algorithms to identify peptides with strong immune system interactions, overcoming traditional methods' limitations. This is crucial for developing targeted therapies for various diseases, including cancers and infectious diseases. Tevogen.AI's approach efficiently screens and ranks potential peptides, eliminates ineffective ones, and continuously refines predictions using real-world data. This will help accelerate discovery, shorten development timelines, and reduce costs.
Tevogen Bio Holdings (Nasdaq: TVGN) has made a significant stride in the field of AI-driven drug discovery with the recent international patent publication of its AI technology that predicts immunologically active peptides. The patent, published under WO 2025/129197 by the World Intellectual Property Organization (WIPO), covers Tevogen.AI's machine learning technology designed to identify peptides with strong immune system interactions [1].The technology, powered by Microsoft and Databricks, aims to overcome traditional limitations in peptide screening by efficiently ranking and eliminating ineffective candidates. It continuously refines its predictions using real-world data, making it particularly valuable for developing targeted therapies for cancers and infectious diseases. This approach accounts for diverse genetic factors such as age, sex, race, and ethnicity, which traditional methods often overlook [1].
The patent publication marks a strategic intellectual property milestone for Tevogen, positioning its AI platform to potentially reduce development timelines and costs for personalized T cell therapies. By leveraging partnerships with technology leaders like Microsoft and Databricks, Tevogen is enhancing its competitive edge in the rapidly evolving immunotherapy space [1].
This patent publication not only strengthens Tevogen's competitive position but also signals its commitment to building a robust IP portfolio around AI-driven drug discovery. For a publicly-traded biotech company, such patent publications are valuable assets that can drive partnership opportunities and enhance the company's valuation proposition, especially in the current environment where AI applications in drug discovery command significant premium [1].
References:
[1] https://www.stocktitan.net/news/TVGNW/tevogen-ai-receives-international-patent-publication-for-ai-j7vgugbdr9lw.html

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