Tevogen Bio Highlights the Future of AI-Driven Drug Development in Fireside Chat with Microsoft During the J.P. Morgan Healthcare Conference

Rhea-AI Summary

Tevogen Bio (Nasdaq: TVGN) shared insights from a fireside chat with Microsoft during the J.P. Morgan Healthcare Conference, focusing on AI-driven drug development. The discussion featured Microsoft's Global Chief Medical Officer Dr. David Rhew and Tevogen's CIO Mittul Mehta, head of Tevogen.AI.

The speakers highlighted how AI and machine learning are revolutionizing drug discovery, with AI-powered tools reducing computational tasks from thousands of years to months. They emphasized the importance of multimodal data AI, which processes diverse data sources including imaging, genomics, and health records.

Tevogen Bio is developing curated datasets for reliable AI models, while emphasizing data governance and privacy-preserving techniques. The company's AI initiatives align with its commitment to patient equity, aiming to achieve cost and time efficiencies that could result in patient savings.

Positive

• Implementation of AI/ML technology showing significant reduction in drug development timelines
• Development of proprietary AI platform (Tevogen.AI) for drug discovery
• Strategic partnership with Microsoft for AI implementation

Negative

• None.

WARREN, N.J., Jan. 23, 2025 (GLOBE NEWSWIRE) -- Tevogen Bio Holdings Inc. (“Company” or “Tevogen Bio”) (Nasdaq: TVGN), a clinical-stage specialty immunotherapy biotech developing off-the-shelf, genetically unmodified T-cell therapeutics for infectious diseases and cancers, today announced key insights from its recent fireside chat during the J.P. Morgan Healthcare Conference. Utilizing artificial intelligence (AI) and machine learning (ML) has been critical for Tevogen Bio, given its core commitment to patient equity. By applying ML through Tevogen.AI, the company has already achieved notable cost and time efficiencies, developments that could translate directly into savings for patients. The discussion featured Dr. David Rhew, Global Chief Medical Officer & VP of Healthcare at Microsoft (Nasdaq: MSFT), and Mittul Mehta, Chief Information Officer and Head of Tevogen.AI, who shared their vision for how AI is revolutionizing drug development and healthcare delivery.

Accelerating Drug Discovery

In the fireside chat, Dr. Rhew described how AI-driven modeling and simulation are drastically reducing the time required to identify and develop drug candidates. He provided an example where a computational task that previously may have taken “thousands of years” using traditional approaches was completed in a matter of months thanks to AI-powered tools. These breakthroughs, Dr. Rhew noted, illustrate a paradigm shift in what is now possible in the pharmaceutical research and development process.

The Rise of Generative AI and Multimodal Data

Both speakers emphasized that while generative AI has garnered widespread attention, next-generation approaches extend beyond simply creating text or images. According to Dr. Rhew, organizations are increasingly deploying multimodal data AI, which processes data from diverse sources, such as imaging, genomics, and electronic health records, to reveal novel insights. Generative AI then serves as a powerful query engine on top of these “foundation models,” enabling seamless interpretation and conversion of complex data into clinically relevant results and formats.

Ensuring Data Quality, Privacy, and Responsible AI

Speaking to Tevogen Bio’s AI developments, Mittul Mehta, Chief Information Officer and Head of Tevogen.AI, highlighted, “We are creating curated datasets, supported by wet-lab research, to fuel the creation of reliable foundational AI models." Dr. Rhew echoed the need for “clean” and “annotated” datasets, stating, “AI is like a powerful engine. It can take us anywhere, but it needs clean, curated data as fuel. Crude data won't work; it must be refined and properly annotated to be useful." Both speakers also stressed the importance of strong data governance and privacy-preserving techniques, such as federated learning and confidential compute, which enable secure collaboration on sensitive datasets without exposing proprietary information or intellectual property. Dr. Rhew underscored that responsible AI requires bias mitigation, transparency, and continuous oversight. Mr. Mehta commended Microsoft’s commitment to these principles, stating that responsible development practices are vital to ensuring equitable and safe adoption of AI technologies in healthcare.

“AI is the next industrial revolution and could be humanity’s greatest leap yet. I commend efforts similar to Stargate for their investment in forward-thinking and transformative technologies,” said Ryan Saadi, MD, MPH, Founder and CEO of Tevogen Bio. “Drug development will undoubtedly improve with the power of AI, but the key is to seamlessly bridge medical science and technology. As a biotech focused on pioneering through AI, we remain committed to advancing affordable medical innovation.”

About Tevogen Bio

Tevogen Bio is a clinical-stage specialty immunotherapy company harnessing one of nature’s most powerful immunological weapons, CD8+ cytotoxic T lymphocytes, to develop off-the-shelf, genetically unmodified precision T cell therapies for the treatment of infectious diseases, cancers, and neurological disorders, aiming to address the significant unmet needs of large patient populations. Tevogen Bio Leadership believes that sustainability and commercial success in the current era of healthcare rely on ensuring patient accessibility through advanced science and innovative business models. Tevogen Bio has reported positive safety data from its proof-of-concept clinical trial, and its key intellectual property assets are wholly owned by the company, not subject to any third-party licensing agreements. These assets include three granted patents, nine pending US and twelve ex-US pending patents, two of which are related to artificial intelligence.

Tevogen Bio is driven by a team of highly experienced industry leaders and distinguished scientists with drug development and global product launch experience. Tevogen Bio’s leadership believes that accessible personalized therapeutics are the next frontier of medicine, and that disruptive business models are required to sustain medical innovation.

Contacts

Tevogen Bio Communications
T: 1 877 TEVOGEN, Ext 701
Communications@Tevogen.com

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/8f6d82a7-ae1f-40ac-888f-dbd580e3af4b

FAQ

How is Tevogen Bio (TVGN) using AI to reduce drug development costs?

Tevogen Bio is utilizing AI and machine learning through Tevogen.AI to achieve cost and time efficiencies in drug development, implementing multimodal data processing and creating curated datasets for reliable AI models.

What is the partnership between Tevogen Bio (TVGN) and Microsoft in AI development?

Tevogen Bio is collaborating with Microsoft on AI implementation, focusing on data governance, privacy-preserving techniques, and responsible AI development for drug discovery.

What efficiency improvements has Tevogen Bio (TVGN) achieved with AI in drug development?

According to the discussion, AI-powered tools have reduced computational tasks in drug development from potentially thousands of years to just months.

How does Tevogen.AI handle data privacy and security in drug development?

Tevogen.AI implements strong data governance and privacy-preserving techniques, including federated learning and confidential compute, to enable secure collaboration on sensitive datasets without exposing proprietary information.