TetraScience and Thermo Fisher Scientific Team Up to Enhance AI and Scientific Data in Laboratories
In a transformative collaboration, TetraScience, recognized as a leader in Scientific Data and AI, has joined hands with Thermo Fisher Scientific Inc., a preeminent figure in the scientific community. This strategic partnership aims to advance the application of Artificial Intelligence within the realm of biopharmaceutical research and development (R&D), as well as in manufacturing. As the industry faces mounting complexities and escalating costs in bringing new therapies to market, the integration of AI tools becomes paramount for enhancing productivity and expediting timelines.
Traditionally, the challenges associated with converting complex scientific data into practical AI applications stemmed from the fragmented nature of laboratory environments. Various instruments and software systems produce data in incompatible formats, creating significant barriers to innovation. TetraScience, however, proposes a solution with its vendor-agnostic Scientific Data Foundry and Scientific Use Case Factory, which standardize data from disparate sources into a cohesive AI-native framework. This pivotal transformation facilitates the development of intelligent, scalable workflows that can enhance the efficiency of experiments and discoveries.
The synergy between TetraScience's capabilities and Thermo Fisher's robust instrumentation and informatics solutions is expected to unlock new possibilities for scientific data utilization across the industry. By harnessing Thermo Fisher's AI tools alongside Tetra AI — an intelligence layer that connects workflows and datasets — the collaborative effort will enhance scientific decision-making and enable cross-domain insights. Together, they aim to improve reproducibility, throughput, and scalability of therapeutic solutions.
Patrick Grady, CEO of TetraScience, emphasized the necessity of harmonizing scientific data to foster a reliable foundation for AI technologies. "The operationalization of AI requires large-scale, harmonized scientific data enriched with context specific to targeted use cases. That's how we achieve substantially better scientific outcomes, and this collaboration with Thermo Fisher Scientific positions us to do just that," he stated.
Sean Baumann, Vice President of Digital and AI at Thermo Fisher Scientific, reiterated the importance of leveraging AI technology in scientific practices. He remarked that the partnership exemplifies their commitment to empowering customers in transcending data management challenges within their laboratories, ultimately facilitating swifter scientific breakthroughs in the biopharmaceutical sector.
As both organizations embark on this initiative, they are aligned in their mission to create interoperable, industry-centric solutions that drive the advancement of Scientific AI. They will work closely with select global biopharmaceutical companies to develop high-value scientific workflows, capitalizing on addressing pressing challenges already faced by organizations utilizing their combined solutions. This may foster the adaptation of integrated solutions that support R&D and manufacturing across the industry, setting the stage for extensive collaboration and impact.
The launch of this partnership symbolizes a critical juncture for life sciences as the need for collaboration becomes increasingly evident in the push towards Scientific AI acceptance. TetraScience aspires to reinforce its position within the scientific community while partnering with a stalwart like Thermo Fisher Scientific opens avenues for collective advancement in data-driven research and technology.
About TetraScience: TetraScience stands at the forefront of Scientific Intelligence, dedicated to building the foundational operating system needed for facilitating effective AI applications in research. Their Scientific Data Foundry processes the essential elements of science into AI-compatible data, while the Scientific Use Case Factory enables efficient workflows tailored for either R&D or manufacturing. Their collaboration with industry giants such as NVIDIA, Databricks, and Microsoft further solidifies their commitment to revolutionizing the scientific landscape through AI technology. For more details, visit their website at tetrascience.com.
Traditionally, the challenges associated with converting complex scientific data into practical AI applications stemmed from the fragmented nature of laboratory environments. Various instruments and software systems produce data in incompatible formats, creating significant barriers to innovation. TetraScience, however, proposes a solution with its vendor-agnostic Scientific Data Foundry and Scientific Use Case Factory, which standardize data from disparate sources into a cohesive AI-native framework. This pivotal transformation facilitates the development of intelligent, scalable workflows that can enhance the efficiency of experiments and discoveries.
The synergy between TetraScience's capabilities and Thermo Fisher's robust instrumentation and informatics solutions is expected to unlock new possibilities for scientific data utilization across the industry. By harnessing Thermo Fisher's AI tools alongside Tetra AI — an intelligence layer that connects workflows and datasets — the collaborative effort will enhance scientific decision-making and enable cross-domain insights. Together, they aim to improve reproducibility, throughput, and scalability of therapeutic solutions.
Patrick Grady, CEO of TetraScience, emphasized the necessity of harmonizing scientific data to foster a reliable foundation for AI technologies. "The operationalization of AI requires large-scale, harmonized scientific data enriched with context specific to targeted use cases. That's how we achieve substantially better scientific outcomes, and this collaboration with Thermo Fisher Scientific positions us to do just that," he stated.
Sean Baumann, Vice President of Digital and AI at Thermo Fisher Scientific, reiterated the importance of leveraging AI technology in scientific practices. He remarked that the partnership exemplifies their commitment to empowering customers in transcending data management challenges within their laboratories, ultimately facilitating swifter scientific breakthroughs in the biopharmaceutical sector.
As both organizations embark on this initiative, they are aligned in their mission to create interoperable, industry-centric solutions that drive the advancement of Scientific AI. They will work closely with select global biopharmaceutical companies to develop high-value scientific workflows, capitalizing on addressing pressing challenges already faced by organizations utilizing their combined solutions. This may foster the adaptation of integrated solutions that support R&D and manufacturing across the industry, setting the stage for extensive collaboration and impact.
The launch of this partnership symbolizes a critical juncture for life sciences as the need for collaboration becomes increasingly evident in the push towards Scientific AI acceptance. TetraScience aspires to reinforce its position within the scientific community while partnering with a stalwart like Thermo Fisher Scientific opens avenues for collective advancement in data-driven research and technology.
About TetraScience: TetraScience stands at the forefront of Scientific Intelligence, dedicated to building the foundational operating system needed for facilitating effective AI applications in research. Their Scientific Data Foundry processes the essential elements of science into AI-compatible data, while the Scientific Use Case Factory enables efficient workflows tailored for either R&D or manufacturing. Their collaboration with industry giants such as NVIDIA, Databricks, and Microsoft further solidifies their commitment to revolutionizing the scientific landscape through AI technology. For more details, visit their website at tetrascience.com.
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