Platform for Automated MRI Data Analysis System

About the Client

The client is a UK-based clinical research organization with more than 20 years of experience in imaging-supported trials, covering both early-phase studies and large global multi-center programs. The company works as a strategic partner to pharmaceutical and biotech organizations, with a strong focus on scientific consistency, operational reliability, and the use of advanced imaging biomarkers to support evidence generation around safety and efficacy.

Objective

The initial objective of the cooperation was to develop specialized software for automated analysis of Magnetic Resonance Imaging (MRI) data. The solution was intended for use in clinical studies and trials, particularly in inflammation, cardiovascular, and neurological indications, to support imaging biomarker research. At its core, the system was designed to enable objective quantification of treatment response, support assessment of drug efficacy, and help identify clinically relevant patient subgroups.

Solution

The product is a pure in-browser cloud-based software platform for advanced analysis of medical images distinguishing imaging biomarkers and thus accelerating the process of customary image interpretation.

The solution has two modes of operations:

• The open version is the first free-for-research cloud-based application designed to quantify medical imaging data with the fully automated and semi-automated algorithms;

• The enterprise version is a comprehensive cloud-based Clinical Trial Image Management System with an integrated multi-stakeholder data management, data upload and data read optimized workflows, as well as a full suite of advanced image analysis functionality for semi and fully automated processing of the static and dynamic MRI sequences, perfusion CT, X-ray and other imaging modalities.

The product’s infrastructure ensures that there is no data loss, mislabeling or data redundancy in the trial. Its comprehensive intelligent decision support tools help guiding all trial stakeholders through the steps needed to either manage or control trial data.

During the course of our cooperation the client has also requested assistance in developing a few complementary projects:

• Advanced viewer for working with volumetric images – allows working with the images on a deeper level and provides a wide range of operating tools for the radiologists;
• Simple user-friendly dashboard that visualizes data from various clinical studies to different types of panel's users (CXOs and PMs).

Since 2018, in parallel with the support of the main (production) version and its new features development, the implementation of the new microservices-based platform has been in progress along with integrating of Machine Learning into the solution.

Result

After Altabel’s involvement ended, the platform remained in production use and continued to evolve. AI-driven components were later introduced to enhance image interpretation and streamline operational workflows, reinforcing the system’s role in complex, multi-center clinical trials. This continuation suggests that the architectural and product decisions made during the cooperation created a durable foundation for future expansion rather than a short-term delivery outcome.