A collaboration between TetraScience and Thermo Fisher Scientific Inc. aims to enhance artificial intelligence (AI) integration in biopharmaceutical research and manufacturing. The initiative focuses on transforming scientific data into AI-native formats, which is expected to improve efficiency for pharmaceutical companies facing rising complexity and costs in therapy development.
To address challenges from a fragmented laboratory environment, TetraScience will implement its Scientific Data Foundry and Scientific Use Case Factory solutions. These tools are designed to standardize various data sources, facilitating AI-driven processes. The partnership will incorporate Thermo Fisher's advanced instruments and informatics, unlocking the full potential of scientific data.
Patrick Grady, CEO of TetraScience, emphasized the necessity of harmonized data for effective AI application, stating that operationalizing AI cannot rely on isolated systems. The collaboration seeks to create an AI-native scientific operating system that improves with each use, enhancing reproducibility and throughput in therapeutic development. Sean Baumann, Vice President of Digital and AI at Thermo Fisher, reaffirmed the mission alignment between the two companies to support health and safety advancements.