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CASE STUDIES
Explore how research teams use our platform to collect real-world data, analyse results, and accelerate discovery.
UK Longitudinal Linkage Collaboration
GLAD / Mental Health Goals (MHG)
A large-scale mental health study collecting mobile health data from 25,000 participants within the GLAD cohort — the world's largest study on depression and anxiety, with over 80,000 participants — funded through the Government's Mental Health Goals (MHG) programme.
Objective: To build a detailed, large-scale picture of depression and anxiety by capturing mobile health data at scale, deepening understanding of the two conditions across the cohort.
Fitbit, Oura, Garmin
Depression and Anxiety
2 years
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Children of TEDS (CoTEDS) Study
A pilot supplying digital phenotyping tools to a subset of Co-TEDS — the first children-of-twins study, made up of participants from the Twins Early Development Study (TEDS) who have since had children of their own.
Objective: To understand cognitive and behavioural development through digital phenotyping, using the unique children-of-twins design to disentangle genetic and environmental influences across generations.
Fitbit, Oura, Garmin
Population
1 year
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TWINS UK
A pilot integrating wearable data collection into a subset of TwinsUK, the UK's largest adult twin registry.
Objective: To study age-related diseases by capturing continuous, real-world wearable data from twin participants.
Fitbit, Oura, Garmin
Population
2 years
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Cycle Study
A study targeting premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD), combining active data from smartphone questionnaires with passive data from wearable fitness and health devices over an 8–10 week period spanning two menstrual cycles.
Objective: To better understand the mental health impact of PMS and PMDD and to develop evidence-based interventions by tracking how symptoms relate to the menstrual cycle.
Fitbit, Oura, Garmin
Mental Health
1 year
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Academia
Measuring Adult ADHD and Menstruation Study (MAAM)
Objective: To investigate whether ADHD symptoms, impairment, and associated functioning in women vary across the menstrual cycle, and to explore the potential effects of hormonal fluctuations on ADHD symptoms and medication efficacy, with the goal of improving diagnosis, treatment, and support for women with ADHD.
Oura
Women's Health
2 years
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National Survey of Health and Development Study (NSHD)
Objective: To evaluate the use of wearable technology and mobile health tools, such as RADAR-base and Garmin devices, to enhance the understanding and improvement of health in a cohort of individuals born in 1946, by gathering and analysing comprehensive data on heart rate, sleep, and physical activity over an 18-month period.
Garmin
Population
1 year
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RALPMH Project
Objective: To investigate the feasibility and potential benefits of remotely monitoring symptoms and physiological data in patients with high-burden pulmonary disorders, such as COPD, ILD, and post-hospitalization COVID, using wearable devices and smartphone sensors to improve patient care and detect disease exacerbations.
Garmin
COPD
2 years
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RADAR-CNS (Central Nervous System)
Objective: To validate the concept of highly reliable remote data collection and near real-time data management through passive sensor data from smartphones and wearables, alongside mood reporting using the Experience Sampling Methodology while also testing recruitment strategies for future projects utilising the RADAR-base platform.
Fitbit
CNS
3 years
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Clinical Trials
Birmingham University — RATE-AF Trial
Objective: To compare heart rate and physical activity in older, multimorbid patients with permanent atrial fibrillation and heart failure treated with either digoxin or beta-blockers, and to assess the potential of wearable technology for dynamic monitoring and prediction of patient outcomes as an alternative to traditional in-person assessments.
Fitbit
Atrial Fibrillation
1 year
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