New Trends in eHealth Technologies for Smart Cities

Dear Colleagues,

Smart cities are increasingly integrating advanced digital infrastructures to enhance citizen well-being and optimize healthcare services. The convergence of IoT-enabled systems, AI-driven analytics, and real-time health and activity monitoring has enabled new forms of personalized healthcare, early diagnosis, and proactive public health management. The design of innovative sensing technologies, including wearable, implantable, and batteryless sensors, is expanding the range of measurable health and environmental parameters while reducing energy consumption and maintenance needs.

Beyond individual health monitoring, the modeling and prediction of epidemic and pandemic evolution have become essential to ensure resilient and adaptive urban healthcare systems. This Special Issue aims to gather interdisciplinary research on eHealth technologies that leverage intelligent data fusion, bioinformatics and computational biology workflows, and distributed computing to enable explainable, multiscale modeling of health and epidemic dynamics within resilient smart city ecosystems.

Topics of interest include novel architectures for IoT-based health networks, edge and cloud computing for data-intensive medical applications, and optimization methods for healthcare resource dimensioning. Contributions addressing cybersecurity, privacy, and interoperability challenges in urban health data infrastructures are also welcome, such as the RESILIENCE project (MCIN/AEI /10.13039/501100011033). This issue will particularly value works demonstrating practical implementations, real-world pilots, and cross-sector collaborations.

This Special Issue welcomes contributions on topics including, but not limited to, the following:

• IoT architectures for eHealth and smart city environments;
• Real-time health and activity monitoring systems;
• AI and machine learning for personalized healthcare and diagnostics;
• Epidemic and pandemic evolution modeling in urban environments;
• Healthcare resource prediction and optimization;
• Data fusion and interoperability in urban health platforms;
• Edge and cloud computing for large-scale health data analytics;
• Privacy, security, and ethical challenges in smart health systems;
• Wearable and ambient sensing technologies for urban populations;
• Integration of eHealth services into smart city infrastructures.

Dr. Javier Prieto
Dr. Soumya Prakash Rana
Guest Editors

Dr. Marco Zurdo-Tabernero
Guest Editor Assistant

Manuscript Submission Information

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