Research Grid's AI Automates Clinical Trial at Queen Mary University

Jun 5, 2025
Research Grid's AI engine has successfully automated a three-year clinical trial at Queen Mary University of London, significantly reducing costs and errors, as announced in a press release.

Research Grid has successfully automated a three-year clinical trial at Queen Mary University of London, announced in a press release. The AI engine was able to digitize thousands of pages of patient records in seconds, eliminating a 5% human error rate and saving over 24,000 staff hours. This automation reduced data entry costs from $1.5 million to just $6,000.

The trial, which involved over 600 patients, demonstrated the potential of AI to handle complex clinical trial administration, including tasks like processing handwritten text and anonymizing data. This marks a significant step forward in the use of AI in medical research, where over 80% of data is still entered manually.

Professor Anthony Mathur, the study lead at Queen Mary's William Harvey Research Institute, highlighted the potential of this technology to improve the efficiency and accuracy of clinical trials. The success of this trial suggests a promising future for AI in streamlining research workflows and reducing administrative burdens in healthcare.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Healthcare & Life Sciences AI AI Brief AI Brief (X)
Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

AI Token Webinar

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.