CMAC’s milestone aids the pharmaceutical industry’s transition from manual and siloed data operations to connected, intelligent manufacturing systems.
Credit: CMAC
CMAC, an academic research centre for pharmaceutical manufacturing and digital CMC in the UK, led by the University of Strathclyde, has connected data across multiple, siloed systems for the first time.
It accelerates the development of new medicines and processes by enabling participating research teams and leading pharmaceutical companies to access real-time answers to questions about their entire data estate, replacing previously manual processes.
These findings can be used to address shared manufacturing and regulatory challenges and fed back directly into their operations.
This capability is delivered through Plvs Ultra’s Enterprise Intelligence Engine. The platform uses knowledge graph technology to create semantic connections across previously disconnected data systems. Uniquely, data can act as a decision-making tool that can be implemented within 12 weeks, instead of years, as can be the case in traditional enterprise data projects.
The advancement is a foundational element of CMAC’s planned Lab of the Future that is intended to provide an “industry-wide test bed for digital CMC that will place data intelligence infrastructure at the heart of UK pharmaceutical manufacturing”.
[The platform] enables us to develop the ontologies and semantic tools necessary to interrogate and connect manufacturing data across multiple interconnected systems”
Patrick Hyett, CEO and co-founder of Plvs Ultra, said: “The complexity of connecting and interrogating years of manufacturing science data across continuous processes, chemistry, and scale-up is exactly the kind of challenge our platform was built to solve.”
Professor Alastair Florence, Distinguished Professor in Pharmaceutical Sciences at the University of Strathclyde and Director of CMAC said: “As we undertake increasingly ambitious research projects for our pharma members and with our academic and technology partners, it is essential that we can manage complex, multi-source data while leveraging decades of accumulated expertise.”
Professor Florence added that building its CMC Development Knowledge Graph using Plvs Ultra’s Enterprise Intelligence Engine “enables us to develop the ontologies and semantic tools necessary to interrogate and connect manufacturing data across multiple interconnected systems”.
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