Projects

RADAR-CNS

Wearable devices that help prevent and treat depression, multiple sclerosis and epilepsy

Completed

The RADAR-CNS project aims to develop new ways of monitoring major depressive disorder, epilepsy, and multiple sclerosis using wearable devices and smartphone technology. Such widely available devices can reveal a patient’s current condition, remotely, at previously unachievable levels of detail. A project consortium of 24 includes commercial and academic partners from across Europe and the US.

€ 25 M

funding from IMI, EFPIA

World
22

partners in Europe and the US

About RADAR-CNS

RADAR-CNS* is jointly led by King’s College London and Janssen Pharmaceutica NV, with funding from the Innovative Medicines Initiative (IMI) and contributions in-kind from commercial partners. Its goal is to predict and pre-empt relapses in patients with major depressive disorders, epilepsy, and multiple sclerosis, and to improve their quality of life. The consortium brings together experts from diverse fields including clinical research, engineering, computer science, information technology, data analytics and health services. Both patients and health care providers will be involved.
*RADAR-CNS: Remote Assessment of Disease and Relapse – Central Nervous System

Managing of a multi-disciplinary program, combined with data analysis and regulatory expertise

Lygature, is a member of the Management Team. In addition, together with linked partner The Hyve, Lygature is leveraging expertise developed during its Translational Research IT (TraIT) project to address the data analysis challenge. It is also looking at regulatory issues and ways in which such devices can be qualified.

  • Coordination and communication. Lygature is co-lead of the Project Management work package in RADAR-CNS and coordinates this large and multi-disciplinary program on a day-to-day basis. Activities include monitoring the effective execution of the work plan and its progress, creation and alignment of work processes, resource management and internal communication. In addition, Lygature provides the backbone for knowledge sharing and is responsible for the design and development of the public website.
     
  • Data analysis. RADAR-CNS requires ground-breaking work to isolate successfully normal biosignatures, as recorded by wearable devices. Patients are being followed from doctors’ perspectives, for correlation with device data. Lygature is using its data management expertise to integrate data from various sources, relating werables-derived data to disease symptoms and allowing scientists to assess if measured changes are predictive.
     
  • Regulatory requirements. The project is also exploring new territory around regulation, posing important questions concerning the use of everyday devices for medical monitoring. Lygature will be looking at how such devices will be deployed, what requirements need to be met and how they can be qualified across different jurisdictions for this application.

The contribution made by Lygature to RADAR-CNS is an example of how cross-disciplinary expertise built up during major projects can be applied in new areas. An ability to extract meaningful data from complex data sets has been proven during the TraIT project, and the Lygature team offers, through its Escher platform, all of the experience needed to overcome diverse regulatory hurdles.

Lygature together with

Acknowledgement of support

RADAR-CNS receives funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115902. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA. See www.imi.europa.eu for more details.

Project updates


  • RADAR-CNS paves the way for use of remote measurement technology to manage depression, multiple sclerosis and epilepsy

    The results of the six-year long RADAR-CNS programme have provided landmark insights into how technology in the form of wearables and smartphones could transform how we monitor and manage depression, multiple sclerosis (MS) and epilepsy.

    Read more.

  • Patients with epilepsy and MS consider accuracy to be most important quality of mobile device data

    New research published in JMIR Formative Research  has shown that patients with epilepsy and MS value accuracy in data above all other attributes with privacy of data coming second in priority.

    Read more.

  • New research shows that severe depression does not affect engagement with RMT

    Researchers from RADAR-CNS have analysed data from 547 participants diagnosed with severe depression and found that the severity of their symptoms does not affect how usable and acceptable they perceive remote measurement technology (RMT) to be.  

    Read more.


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