đź””SPOTLIGHT: Using IoT Sensors in RADAR-base
SOFTWARE SPOTLIGHT: RADAR-IoT: A Framework for Collecting IoT Sensor Data with RADAR-base Numerous healthcare and research scenarios can be advanced by combining IoT (Internet of Things) sensor data with an open mHealth platform capable of real-time analysis at both the network edge …
MAAM: Measuring Adult ADHD and Menstruation
MAAM: Measuring Adult ADHD and Menstruation Dr. Jessica Agnew-Blais, from Queen Mary University of London, has secured a UKRI grant to embark on a groundbreaking study focusing on Attention Deficit Hyperactivity Disorder (ADHD) in women. This research aims to address the significant …
Thank You! The 2023 RADAR-base Mobile Health Symposium
Playlist of talks LINK We had a great time in Utrecht hearing about all the amazing ways RADAR-base is being put to use in the mobile health space — it was really inspirational! I wanted to take a moment to thank everyone …
HDRUK Awards RADAR-base for Reproducibility
RADAR-base was recently recognised as part of the Reproducibility category in the HDRUK 2022 awards. HDRUK is looking to recognize good practices in research reproducibility and celebrate the work of those who support research delivery. Reproducibility is of key importance at HDRUK. …
LETHE: Digital Cognitive Biomarkers
LETHE: Digital Cognitive Biomarkers A personalized prediction and intervention model for early detection and reduction of risk factors causing dementia, based on AI and distributed Machine Learning This project has received funding from the European Union’s Horizon 2020 research and innovation programme …
Google Summer of Code 2022 Review
RADAR-base GSoC https://github.com/RADAR-base/GSoC Retrospective of GSoC 2022 In 2022, RADAR-base participated in its first GSoC, and we were thrilled to host 3 projects. We received outstanding applications and had the honour of collaborating with three exceptional candidates. Let’s take a brief look …
đź””SPOTLIGHT: Using Local Bluetooth Device Count to Predict Depressive Symptom Severity
PAPER Spotlight: “Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study” 10.2196/29840. Bluetooth-enabled devices are pervasive in the modern environment, most commonly in the form of smartphones. This study used the RADAR-base Passive app …
NSHD: National Survey of Health and Development
NSHD: National Survey of Health and Development Cohort remote monitoring study The National Survey of Health and Development (NSHD) is a long-standing epidemiological study aimed at investigating the health and well-being of a cohort of individuals born in the United Kingdom in …
EDIFY: Eating Disorders in Young Persons
EDIFY (Eating Disorders: Delineating Illness and Recovery Trajectories to Inform Personalised Prevention and Early Intervention in Young People) EDIFY (Eating Disorders: Delineating Illness and Recovery Trajectories to Inform Personalised Prevention and Early Intervention in Young People) is a research project aimed at …
