The RADAR-CNS project has collected data from smartphones and wearables to assess how remote measurement technology could help manage depression, multiple sclerosis and epilepsy.

The results of a six-year project involving 22 organizations across Europe and the United States 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.

The Remote Assessment of Disease and Relapse – Central Nervous System Consortium (RADAR-CNS) was led jointly by King’s College London and Janssen Pharmaceutica NV.

Since its launch in 2016, RADAR-CNS has recruited 1,450 participants in a study to answer questions that are central to harnessing the potential of wearable devices to measure and predict depression, MS and epilepsy. Collectively, these conditions affect more than 330 million people globally, are a major cause of disability and have an enormous impact on wellbeing.

Together with participants, researchers assessed seven wearable devices including smart watches and activity trackers alongside smartphones. In total the project has amassed over 62 terabytes of data.

Quality reporting in digital health studies has traditionally been poor, with small datasets and short-lived adherence to studies. In contrast, RADAR-CNS achieved very high recruitment, retention and engagement rates. The project has set a quality benchmark for future studies in this field.

Among the major achievements of the project are:

Identifying digital signals and use of machine learning.

  • The project team has taken the first steps to develop new digital signals to indicate the course and severity of the disorders. Researchers have derived signals from smartphone and activity tracker data to estimate social activity, home stay, sleep and gait to track depression severity. For MS, the RADAR-CNS team has identified signals which correlate with disability, fatigue and functional impairment, facets of MS that are very important to patients. In the work on epilepsy, researchers have shown that wearables can measure the length of time without motion after an epileptic seizure which can signify risk of sudden unexpected death in epilepsy (SUDEP).

Building a secure, open source, versatile platform for remote data collection.

  • At the heart of the project was the development of a new technical platform to enable the shift to more continuous and objective monitoring of the disorders from the in-built data collection mechanisms in phones and other devices. The platform – RADAR-base – can integrate data streams from numerous sources and is compatible with any traditional operating system. It allows accurate, real-time collection of data through sensors and questionnaires.
  • RADAR-base is open source and is now in use by multiple projects including RADAR-CNS’ sister IMI2 project RADAR-AD, which is exploring the potential of mobile and digital technologies to improve the assessment of Alzheimer’s disease.

An integrated and comprehensive approach to patient involvement.

  • A Patient Advisory Board (PAB) of people living with the three conditions was active throughout the project, with members of the PAB influencing study design and data analysis and co-authoring scientific papers.
  • The PAB helped researchers understand issues associated with acceptability of data collection methods and barriers that might make wearable devices less feasible in a real-world setting.

Looking to future application of remote monitoring, researchers surveyed over 1,000 healthcare professionals to understand how tech can complement face-to-face treatment and care and the potential for data to empower people to manage their own condition.

Led jointly by King’s College London and Janssen Pharmaceutica NV, RADAR-CNS is funded by the Innovative Medicines Initiative 2 Joint Undertaking (IMI2), a public private partnership between the European Federation of Pharmaceutical Industries and Associations (EFPIA) and the European Union.

Huge advances have been made in the area of using phones and other tech to track our health but, until now, the quality and robustness of available data to properly evaluate these has been largely lacking. Over six years, RADAR-CNS has been finding answers to questions about the viability and usefulness of smartphones and wearable tech for managing illness, and the steps that need to be taken to integrate these into clinical practice. – Professor Matthew Hotopf CBE, co-lead for the project and Vice-Dean of Research at the IoPPN, King’s College London

Professor Matthew Hotopf went on to say: “Perhaps most importantly, we have throughout this process been working alongside people who live with depression, epilepsy and MS day to day. Their insights have been invaluable. I look forward to seeing the impact of the remarkable work done by the various RADAR-CNS teams and have every confidence that it will be far-reaching and has the potential to improve the lives of thousands of people.”

Vaibhav Narayan, co-lead for the project at Janssen Pharmaceutica NV, commented:

“RADAR-CNS has been a hugely ambitious, multifaceted project that can have a positive impact for years to come. We are now in a significantly stronger position to be able to harness data from wearables and other technology to enable development of more precise treatments and improve how we track, predict and manage diseases in the real world. I anticipate that this work will continue to evolve and drive the field – the project itself may be over but its legacy in terms of real-world benefit is really just beginning.”

Simon Lees, who is a member of the RADAR-CNS Patient Advisory Board, commented:

“This project has set an excellent baseline for future development of AI technologies to assess and improve patient care within practical settings such as clinics. Staff, researchers and those trialling the products worked closely together, and regular virtual meetings were extremely beneficial.

“Each member of the Patient Advisory Board has lived experience of one of the three medical conditions, and our perspectives helped the researchers to appreciate similarities and differences that would affect data collection. We were able to work alongside the researchers in a logical and systematic way. We could see the value our diverse perspectives added to the project, and I look forward to seeing how this work will help both patients and professionals to benefit from wearable technology.”


Source:, King’s College London