Digital Biomarkers and remote patient monitoring can provide valuable and timely insights into how a patient is coping with their condition (disease progression, treatment response, etc.), complementing treatment in traditional healthcare settings.Smartphones with embedded and connected sensors have immense potential for improving healthcare through various apps and mHealth (mobile health) platforms. This capability could enable the development of reliable digital biomarkers from long-term longitudinal data collected remotely from patients. We built an open-source platform, RADAR-base, to support large-scale data collection in remote monitoring studies. RADAR-base is a modern remote data collection platform built around Confluent's Apache Kafka, to support scalability, extensibility, security, privacy and quality of data. It provides support for study design and set-up, active (eg PROMs) and passive (eg. phone sensors, wearable devices and IoT) remote data collection capabilities with feature generation (eg. behavioural, environmental and physiological markers). The backend enables secure data transmission, and scalable solutions for data storage, management and data access. The platform has successfully collected longitudinal data for various cohorts in a number of disease areas including Multiple Sclerosis, Depression, Epilepsy, ADHD, Alzheimer, Autism and Lung diseases. Digital biomarkers developed through collected data are providing useful insights into different diseases. RADAR-base provides a modern open-source, community-driven solution for remote monitoring, data collection, and digital phenotyping of physical and mental health diseases. Clinicians can use digital biomarkers to augment their decision making for the prevention, personalisation and early intervention of disease.

翻译：数字生物标志物和远程患者监测能够提供有价值且及时的见解，了解患者如何应对其疾病状况（如疾病进展、治疗反应等），从而补充传统医疗环境中的治疗。内置和连接传感器的智能手机通过各类应用和移动健康（mHealth）平台，在改善医疗保健方面具有巨大潜力。这种能力使得从患者远程收集的长期纵向数据中开发可靠数字生物标志物成为可能。我们构建了一个开源平台RADAR-base，以支持远程监测研究中的大规模数据收集。RADAR-base是一个基于Confluent的Apache Kafka构建的现代化远程数据收集平台，支持可扩展性、可扩展性、安全性、隐私性和数据质量。它提供研究设计与设置、主动（如患者报告结局指标PROMs）和被动（如手机传感器、可穿戴设备和物联网）远程数据收集能力，以及特征生成（如行为、环境和生理标志物）。后端支持安全的数据传输以及数据存储、管理和访问的可扩展解决方案。该平台已成功收集了多个疾病领域（包括多发性硬化症、抑郁症、癫痫、注意力缺陷多动障碍、阿尔茨海默病、自闭症和肺部疾病）各类队列的纵向数据。通过收集的数据开发的数字生物标志物正为不同疾病提供有益见解。RADAR-base为身心疾病的远程监测、数据收集和数字表型分析提供了现代开源、社区驱动的解决方案。临床医生可利用数字生物标志物增强其决策能力，实现疾病的预防、个性化和早期干预。