Explore how research teams use our platform to collect real-world data, analyse results, and accelerate discovery.
Academia
KCL – MAAM Study
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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UCL — NSHD Project
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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UCL — 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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KCL — RADAR-CNS
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 Fibriliation
1 year
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