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Robotics, IoT and AI Technologies in Bioengineering, 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 30 May 2026 | Viewed by 543

Special Issue Editors


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Department of Civil Engineering, Energy, Environment and Materials (DICEAM), Mediterranea University of Reggio Calabria, Via Zehender, 89124 Reggio Calabria, Italy
Interests: biomedical signal processing and sensors; photonics; optical fibers; mems; metamaterials; nanotechnology; artificial intelligence; neural network; virtual reality; augmented reality; indoor navigation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy
Interests: data mining; computing in mathematics; natural science; engineering and medicine; computer graphics; bioengineering; biomedical engineering; electronic engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of our previous Special Issue "Robotics, IoT and AI Technologies in Bioengineering", https://www.mdpi.com/journal/applsci/special_issues/BPYW578NM0.

Bioengineering is a discipline that blends many aspects of traditional engineering fields with health care issues. The main objective is the creation of digital tools, devices, and software platforms, as well as the implementation of advanced tools, from IoT, artificial intelligence, and robotics to Cloud computing, smart wearables, and intelligent analytics, with the ultimate aim of improving the quality and duration of life for patients. The evolution of the bioengineering field is closely connected with developments in automation, nanomaterials engineering, artificial intelligence, and neuroscience. From an application point of view, for example, artificial intelligence has proven to be efficient in many ways in the medical field, from the improvement of image-based diagnostics, analysis of biological signals, recognition of human activities through accelerometric signals, and navigation guidance for subjects with cognitive problems to the design of neuro-integrated prosthetic systems and compatible organ tissues for transplantation, surgery, and prediction of behavior and nervous responses to stimuli. All this was possible thanks to the acquisition of huge volumes of digitized data and machine learning techniques. Robotics is also a key branch in the field of surgery, enabling minimally invasive surgeries, automatic monitoring of surgical instruments, and assisting the operator. Telepresence robots have also been designed to help socially isolated people and aid rehabilitation. They are also used as wearable devices for prevention of injury. The biomedical applications of IoT are now present in remote patient management, the monitoring of Parkinson's and Alzheimer's patients, vital data monitoring, depression monitoring via a smartwatch, glucose monitoring, and efficient drug management. It is essential that certain functionalities, such as interoperability between all devices, platforms, technologies, and data security, are ensured. In the literature, there are different application systems oriented toward health care that can help an ill person maintain or improve their independence and security.

The aim of this Special Issue is to improve different technologies that can improve the quality and duration of life. We look forward to your submissions.

Dr. Luigi Bibbò
Dr. Alessia Bramanti
Guest Editors

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. Applied Sciences 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 2400 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.

Keywords

  • artificial intelligence
  • IoT
  • human–robot interactions
  • wearable sensors
  • virtual reality/augmented reality (VR/AR)

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Published Papers (1 paper)

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Research

20 pages, 917 KB  
Article
A Novel Modular Framework for Secure and Scalable Remote Health Monitoring: RHMS
by Shams Khan, Ehesan Maimaitijiang, Irsad Kures and Yasin Mamatjan
Appl. Sci. 2025, 15(23), 12623; https://doi.org/10.3390/app152312623 - 28 Nov 2025
Viewed by 234
Abstract
Background: Remote health monitoring for time-critical conditions (e.g., acute stroke) demands rapid, reliable data delivery and immediate clinical interpretation. However, existing Remote Patient Monitoring (RPM) frameworks often exhibit fragmented designs, latency bottlenecks, and integration challenges when onboarding new sensors or clinical algorithms. Methods: [...] Read more.
Background: Remote health monitoring for time-critical conditions (e.g., acute stroke) demands rapid, reliable data delivery and immediate clinical interpretation. However, existing Remote Patient Monitoring (RPM) frameworks often exhibit fragmented designs, latency bottlenecks, and integration challenges when onboarding new sensors or clinical algorithms. Methods: To address these gaps, we introduce a unified Remote Health Monitoring System (RHMS) that combines MQTT-driven sensor transport, a pattern-oriented software architecture, and blockchain-based immutable audit logging. Results: In a TRL 3–4 technical feasibility evaluation using synthetic load and a 30 min smartwatch trace, RHMS achieved a median end-to-end latency of 480 ms (IQR 110 ms; P95 < 600 ms) under 500 concurrent 1 Hz streams and a peak throughput of 545 streams/s in controlled environments. The system emits algorithmic risk alerts from an integrated model; no adjudicated clinical diagnoses were performed. A modeled rollup-backed audit log estimates a per-record cost of $0.00016 (USD). Conclusion: RHMS demonstrates technical feasibility and interoperability that aligns with clinical recommendations. Clinical validation is out of scope for this study and will require prospective trials. Full article
(This article belongs to the Special Issue Robotics, IoT and AI Technologies in Bioengineering, 2nd Edition)
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