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Digital design of products and processes in pharmaceuticals

How digital transformation in the lab helps rapidly design, plan and execute experiments

Two scientists in a laboratory looking at a microscope.

It’s never too early to start identifying and mitigating risks and increasing the opportunity to develop, design and deliver medicines faster. Traditional R&D processes are often slow, costly and hindered by data silos and communication barriers, making it challenging to achieve rapid innovation. To overcome these obstacles, adopting a digital lab approach for product and process design is crucial. This strategy enables pharmaceutical companies to efficiently develop optimized drug products by leveraging digital recipe transformation and advanced data management. Our solutions support this digital transformation, enhancing drug manufacturability, ensuring compliance and optimizing project timelines and costs, setting a solid foundation for successful New Product Introductions (NPIs).

Improve throughput with a digital lab environment

Digital design of products and processes is essential for enhancing the efficiency and throughput of the pharmaceutical drug pipeline. Implementing a digital lab environment allows companies to improve collaboration across the drug lifecycle, utilize simulation-driven process development and leverage smart data management. This approach accelerates the development of new therapies by integrating data from various lab sources and applying Findable, Accessible, Interoperable, Reusable (FAIR) data principles. Using a product lifecycle management (PLM) solution, pharmaceutical companies can effectively manage programs, identify risks and coordinate project deliverables across development phases, leading to a more streamlined and efficient path from R&D to production.

Optimize drug development with DoE and digital twins

Companies can optimize their development processes by embracing early product and process design strategies and utilizing tools like Design of Experiments (DoE). High-fidelity model-based simulations, digital twins and data-driven decision-making minimize physical experimentation while maximizing quality and performance. This digital-first approach supports the co-development of product and process designs, improving compliance and accelerating time-to-market. Our digital design solutions empower pharmaceutical companies to overcome R&D challenges, break down silos and create a robust digital lab environment that enables innovation and collaboration.

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