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RADAR-Base: Democratising Access to Remote Monitoring Infrastructure for Research and Decentralised Clinical Trials

In plain English

AI plain-English summary

Researchers can now collect health data from people’s phones and wearables in real time, using an open-source platform called RADAR-Base that streams and analyses digital biomarkers like heart rate, sleep patterns, and cognitive test results. The problem is that most independent researchers lack the infrastructure to manage the flood of data from mobile health studies. Commercial platforms are expensive and proprietary, locking data away. RADAR-Base solves this by offering a free, scalable system already used internationally for conditions ranging from depression and ADHD to heart disease, epilepsy, and COVID-19. This grant will expand the platform’s community, build a sustainable service model, and add critical features for the next phase of development. If successful, RADAR-Base could democratise remote monitoring for clinical trials and research, making it as easy for a small university lab to run a decentralised study as for a large pharmaceutical company. The infrastructure itself—data streaming, storage, analytics—is invisible to patients, but it quietly underpins a future where disease progression can be tracked continuously from home, reducing hospital visits and enabling faster, more inclusive clinical trials.

View original technical description
Mobile health (mHealth) has transformed the potential for collecting real- world data remotely and objectively for research and clinical applications. Widespread adoption of mobile phones and wearable sensors has been the catalyst, allowing passive measurement of an expanding array of parameters, including behavioural like cognition, mobility, sleep, and sociability, and physiological such as activity, heart rate, glucose, and blood pressure. Simultaneously, actively generated data, e.g. patient-reported measures, can be collected through app-delivered questionnaires and digital assessments. By harnessing these data streams in one place, researchers gain deeper insights into disease. Remote data collection poses a significant challenge, particularly for independent researchers. We developed RADAR-Base, a scalable, real-time streaming and analytics off-the-shelf platform for digital biomarkers. The platform has an active and rapidly growing international community spanning academia and industry, with use cases in mental health (e.g. depression, ADHD, psychosis), physical health (e.g. heart disease, epilepsy, diabetes), and infectious disease (e.g. COVID-19). This proposal will resource the growth and engagement of our community, supporting a sustainable service model and the development of critical functionality required for the next phase of RADAR-base. Together, this will provide a step change in open-source mobile health capabilities to the global community.

View the original record at the funder ↗

Researchers

Akash Roy Choudhury (EPMC Awardee)Mary Pauline Gwen Conde (EPMC Awardee)Richard Dobson (EPMC Awardee)

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Original classification

Discretionary Award

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