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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Smart Cities is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.