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TetraScience Collaborates with Thermo Fisher Scientific

In a significant move for the life sciences industry, TetraScience, a leading company in Scientific Data and AI, has entered into a collaboration with Thermo Fisher Scientific Inc., recognized globally for its contributions to scientific advancements. This partnership is aimed at streamlining AI application within the biopharmaceutical research and development (R&D) sector by transforming scientific data into an AI-friendly format and creating intelligent workflows at scale.

As the costs and complexities related to launching new therapies rise, biopharma companies are increasingly looking to AI solutions to enhance productivity and reduce time-to-market. However, for AI to be truly effective, it must be built upon a foundation of AI-ready scientific data—a challenge compounded by the fragmented nature of laboratory ecosystems today. Various instruments and software systems from different vendors often generate incompatible data and workflows.

The TetraScience’s vendor-neutral Scientific Data Foundry together with the Scientific Use Case Factory play a crucial role in this collaboration. They standardize experimental results from diverse sources into deployable, AI-powered scientific workflows. This integration aims to maximize the utility of scientific data, enabling pharmaceutical organizations to operate more efficiently and effectively.

Moreover, by combining TetraScience’s systems with Thermo Fisher's advanced instrumentation and informatics solutions, the partnership seeks to further unlock the potential of scientific data on a large scale. At the heart of this initiative is Tetra AI, a sophisticated intelligence layer that integrates data with workflows, aiding scientists in making informed decisions and deriving insights that cross various domains. This fusion of technologies is expected to enhance reproducibility and scalability in developing therapies throughout R&D and manufacturing processes.

Patrick Grady, CEO of TetraScience, emphasizes the critical need for unifying fragmented systems within the lab environment. He states, "Operationalizing AI requires large-scale, harmonized scientific data enriched with context specific to targeted use cases. That's how we can deliver significantly better scientific outcomes, and that is exactly what TetraScience enables through this collaboration."

Thermo Fisher’s Digital and AI Life Sciences Vice President, Sean Baumann, echoed this sentiment, highlighting their mission to enhance the vitality of the world through improved data management in laboratories. He remarked, "Our collaboration with TetraScience strengthens our commitment to automating data management at scale, enabling our customers to expedite scientific breakthroughs in the biopharmaceutical field."

The two companies plan to focus on developing impactful scientific workflows targeting specific global biopharmaceutical organizations. Several of these organizations are already leveraging combined solutions from TetraScience and Thermo Fisher, signifying a solid foundation for wider adoption across the sector. Furthermore, joint initiatives are in place to provide integrated solutions to customers in biopharmaceutical R&D and manufacturing settings.

The announcement marks a pivotal moment in the life sciences arena as it showcases the substantial power of collaboration in propelling the advancements of Scientific AI. TetraScience’s expertise in transforming experimental data into an enriched form affirms its role as a key player in this evolution towards an AI-driven scientific infrastructure.

For more insights on this collaboration and how it's reshaping the biopharmaceutical landscape, visit TetraScience’s official website at tetrascience.com.