Simplifying AI Data Analysis for Scientists as REPROCELL, IBM and STFC Hartree Centre Successfully Launch Pharmacology-AI Platform

REPROCELL announces the launch of a new commercial service, Pharmacology-AI. The launch follows the completion of one of the first EXCELERATE projects, by the Hartree National Centre for Digital Innovation (HNCDI), via a partnership between the Science and Technology Facilities Council (STFC) Hartree Centre and IBM. Through EXCELERATE, REPROCELL has collaborated with HNCDI to create a machine learning (ML) platform that simplifies and accelerates the analysis of big data from drug development studies.

The ground-breaking platform will be used by REPROCELL to help researchers identify which inter-individual differences have the largest influence on drug response or related clinical outcomes. Conventional analysis of big data can be very time-consuming and require significant expertise; Pharmacology-AI simplifies the task. It is hoped the service will enable Pharma to design clinical trials that are more successful and less costly, by identifying patient populations most likely to benefit from new drugs much earlier in the drug development process. The software can also be used to reveal why some patients respond to commonly prescribed drugs, while others gain little or no benefit.

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“Pharmacology-AI is unique in its ability to quickly reveal the genomic or clinical features driving drug response,” said Graeme Macluskie, Director of Precision Medicine at REPROCELL. “We’re excited to see what insights the platform can offer to clients developing early-stage precision medicine strategies.”

Clinical and drug response data is challenging to process via machine learning due to its high dimensionality,” said Peter Waggett, Director of Research at IBM. “IBM and STFC have worked closely with REPROCELL to develop the Pharmacology-AI platform, where new insights from pharmacological data are revealed to human experts through the application of explainable AI methods. We are delighted to be delivering on our commitment to support UK organisations via the HNCDI programme, applying our advanced AI technology to accelerate scientific discoveries.

“This project is just one example of how artificial intelligence can be used to generate long-term societal and economic impact,” said Professor Kate Royse, Director of STFC Hartree Centre. “The benefits of machine learning are not just limited to the technology sector and could help many different industries across the UK,” she continued.

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