Guest Editors
Zhe Fu
University of Cambridge
Zhe Fu received his BEng degree in Electronic Information Science and Technology from the University of Shanghai for Science and Technology, China, in 2012. He then received a MSc degree in Digital Communications from the University of Bath and a MRes degree in Photonics Systems Development from University College London (UCL) in 2013 and 2014, respectively. Zhe received his PhD degree from the University of Cambridge, UK., in 2019 and is currently a Research Associate with the Centre for Photonic Systems in the University of Cambridge. His research interests include RFID, IoTs & Robotic System Design, RF Circuits Design, Cyber-Physical Systems, and Human-Machine Interaction for Healthcare.
Shuo Gao
Beihang University
Shuo Gao received the PhD in electrical engineering from the University of Cambridge, Cambridge, UK, in 2017. From 2017 to 2018, he was a Research Associate with the University College London, London, UK. He is currently a Professor at the Beihang University (former name: Beijing University of Aeronautics and Astronautics), Beijing, China. His area of expertise is wearable-system development. He has published over 70 articles as the first/last author, including peer-reviewed journals (e.g. Proceedings of the IEEE), flagship conferences, and has been awarded US, UK and CN patents. He published two technique books at Cambridge University Press and Springer-Nature Press, respectively. His research outcomes have been successfully applied in many hospitals in China, and reported by several technology websites and newspapers. He serves on technical committees in various capacities (e.g. Committee member in IEEE Sensors Conference, IEEE FLEPS, IEEE NEMES). He is on Editorial Boards of Materials MDPI, Frontiers in Electronics and Journal of Semiconductor Science and Information Device. He is a PI/Co-I for several China National funds (~3.2M USD in total). In terms of industrial experience, he previously worked as a hardware engineer at SIGPRO, Ottawa, Canada; a system engineer at Ciena Corporation, Ottawa, Canada; and a technique consultant at Cambridge Touch Technologies Inc., Cambridge, UK. He is an expert group member of BOE Technology Group Co., Beijing, China. He is now a co-founder and CTO of Smart Electronics Inc., Beijing, China.
Collection Overview
The integration of the Internet of Things (IoT) into healthcare is transforming how diseases are monitored, diagnosed, and managed by enabling continuous, real-time data collection through connected devices, wearables, and smart clinical systems. This paradigm shift supports personalized medicine, improves patient outcomes, and enhances healthcare accessibility, particularly in remote and resource-limited settings. As healthcare systems increasingly rely on data-driven decision-making, IoT-based solutions are becoming central to modern clinical practice and biomedical research.
Despite rapid advancements, several challenges persist, including data security and privacy concerns, interoperability between heterogeneous devices and platforms, data reliability, and the integration of IoT systems into existing clinical workflows. Additionally, issues related to device development, scalability, energy efficiency of devices, and the clinical validation of IoT-driven interventions remain critical barriers to widespread adoption.
This Collection aims to provide a comprehensive platform for showcasing methodological innovations, original research, clinical case reports, and reviews that address the development or implementation or evaluation of IoT in healthcare. It seeks to highlight advances in (but not limited to) device design, sensor technologies, remote monitoring systems, artificial intelligence integration, and real-world clinical applications across diverse disease areas.
By bringing together various topics, this collection will foster knowledge exchange, promote best practices, and accelerate translational research. It will serve as a valuable resource for researchers, clinicians, and industry stakeholders, ultimately supporting the development of robust, scalable, and clinically relevant IoT solutions that advance global healthcare delivery.
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