The result is ACUITY, released in 2022 as an open source tool by digital ECMT through the CRUK UpSMART Accelerator Consortium.* ACUITY has already proven valuable in streamlining clinical trial research with its use by European pharmaceutical companies, as well as a UK research hospital in COVID-19 observational studies. Customizable and easy to deploy, ACUITY allows clinical trial results to be visualized faster in near real time, while maintaining the accuracy of longer projects. The result? Clinical trial leaders can suspend unsuccessful trials sooner, reapplying those resources to other trials — saving time and money on life-saving work.
Optimizing Data for Smarter Clinical Trials

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Personalized medicine, hailed as the future of healthcare, relies on data. But data is only useful if it’s aggregated and curated in a way that drives insights. The digital Experimental Cancer Medicine Team (digital ECMT), part of Cancer Research UK (CRUK) Manchester Institute at the University of Manchester, was looking for a partner to optimize their data visualization and analysis tool for Phase 1 and 2 clinical trials in oncology. The company approached EPAM for our software development and data analytics expertise.
* Ref: Fouziah, B. et al. Digit Med 2022, 8:1
ACUITY also can be integrated with EPAM’s Digital Clinical Trials acceleratoras well as a wide range of other external solutions and tools.
ACUITY is integrated with Microsoft Azure using the following components:
ACUITY is built to work on any infrastructure or hosting environment, including deployment to on-premises. Outside of Azure, ACUITY has a standalone version that can be easily deployed to a laptop so all members of a clinical trial team can collaborate.
Designing the Future of Drug Discovery
ACUITY is being used now in 10 clinical trials with more coming online regularly. Recent additions include the capture of data from wearables and integration with open data standards, Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) and Fast Healthcare Interoperability Resources (FHIR).
The current iteration is only the beginning. We will continue to add machine learning algorithms as well as other features.
Because ACUITY is available for the world to use, the entire clinical trials community has a tool to help find new cures and other important drugs faster and more efficiently than ever before.
This project was supported by the AstraZeneca iDECIDE collaboration grant (119106) awarded to The University of Manchester in partnership with The Christie NHS Foundation Trust, and CRUK, Associazione Italiana per la Ricerca sul Cancro (AIRC) and Fundacion Científica – Asociacion Espanola Contra el Cancer (FC -AECC), via an Accelerator Award [A29374] through the CRUK Manchester Institute [C147/A25254].
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