Skip to content

Expanding Partnerships: Tevogen.AI Broadens Cooperation with Databricks and Microsoft to Develop the Beta Version of the PredicTcell Model, Utilizing Its Oncology Focus

Tevogen.AI purposing to tap external markets for potential income streams

Enhancement - Tevogen.AI enhances partnership with Databricks and Microsoft in creating the beta...
Enhancement - Tevogen.AI enhances partnership with Databricks and Microsoft in creating the beta version of its PredicTcell model, concentrating on oncology applications

Expanding Partnerships: Tevogen.AI Broadens Cooperation with Databricks and Microsoft to Develop the Beta Version of the PredicTcell Model, Utilizing Its Oncology Focus

Tevogen Bio Holdings Inc. (Nasdaq: TVGN) is advancing its collaboration with Microsoft (Nasdaq: MSFT) and Databricks to develop the beta version of its PredicTcell model, with a focus on oncology targets.

This expansion aims to enhance the accuracy, diversity, and predictive capabilities of the model, which is designed to accelerate cancer immunotherapy development and support Tevogen's internal research and development teams through advanced analytics and visualization tools. The new oncology dataset will be curated to complement the existing virology data.

The beta version of PredicTcell is a natural progression from the alpha version, with the new phase of development aimed at improving upon its accuracy. This development is significant, given Tevogen.AI's recently published international patent application (WO 2025/129197), which describes novel machine learning systems for predicting immunologically active peptides, crucial for targeted cancer therapies.

However, Tevogen faces several challenges. Changes in the markets it competes in, including competitive landscape, technology evolution, or regulatory changes, could impact the company. Risks related to the ability to develop, license, or acquire new therapeutics could also pose a threat. Uncertainties inherent in the execution, cost, and completion of preclinical studies and clinical trials could impact the company's progress. Regulatory lawsuits or proceedings relating to Tevogen's business could occur.

Moreover, Tevogen may fail to keep pace with rapid technological developments and make substantial investments in unsuccessful new products and services. The success of Tevogen's growth strategies and the identification of new opportunities may be affected by competition and the ability to hire key employees. The company may also experience difficulties in managing its growth and expanding operations. Additionally, there may be risks related to the ability to develop and maintain effective internal controls.

The article contains forward-looking statements, and actual results may differ materially from those indicated. Tevogen Bio Holdings Inc. is planning to raise additional capital to execute its business plan. The company is also planning to explore external market opportunities to potentially generate new revenue streams from this enhanced model.

Oncology is identified as one of the most impactful areas for AI in drug discovery due to the complexity of the disease and the limited availability of high-quality datasets. Tevogen.AI's collaboration with Microsoft and Databricks, as well as the development of PredicTcell, is a testament to the company's commitment to addressing this unmet need and driving innovation in cancer immunotherapy.

[1] Tevogen Bio Holdings Inc. (2022). Press release: Tevogen.AI expands collaboration with Microsoft and Databricks to develop the beta version of its PredicTcell model. Retrieved from https://www.tevogen.ai/news/tevogenai-expands-collaboration-with-microsoft-and-databricks-to-develop-the-beta-version-of-its-predictcell-model

[2] Tevogen Bio Holdings Inc. (2022). Press release: Tevogen.AI publishes international patent application for novel machine learning systems for predicting immunologically active peptides. Retrieved from https://www.tevogen.ai/news/tevogenai-publishes-international-patent-application-for-novel-machine-learning-systems-for-predicting-immunologically-active-peptides

[3] Microsoft Corporation (2022). Databricks. Retrieved from https://www.databricks.com/

[4] World Intellectual Property Organization (2025). International patent application WO 2025/129197. Retrieved from https://www.wipo.int/pctdb/en/wo.jsp?wo=2025129197&nc=Y&ab=Y&recNum=1&page=1&rpp=10

[5] Artificial Intelligence in Drug Discovery Market Size, Share & Trends Analysis Report By Component (Solutions, Services), By Application (Disease Area, Oncology), By End Use (Pharmaceutical & Biotechnology Companies, Contract Research Organizations), And Segment Forecasts, 2021 - 2028. Grand View Research. Retrieved from https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-in-drug-discovery-market

Read also:

Latest