Biomedical Devices—Applications for Disease Treatment and Tissue Regeneration

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Biomedical Engineering and Materials".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 513

Special Issue Editor


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Guest Editor
Laboratory of Chemical Engineering A, School of Chemical Engineering, Faculty of Engineering, Aristotle, University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece
Interests: biomedical devices mesenchymal stem cell therapy; apoptosis; differentiation; biomaterials; cell cycle; cancer; mRNA therapeutics

Special Issue Information

Dear Colleagues,

This Special Issue, “Biomedical Devices—Applications for Disease Treatment and Tissue Regeneration”, will focus on using biomedical devices and biomaterials for the treatment of degenerative disorders.  It will focus on the use of biomaterials and biochips targeting disease treatments and tissue regeneration. 

Mesenchymal stem cell therapy based on nanotechnology, pharmacophore encapsulation in nanomaterials and drug delivery systems, tissue engineering, and the use of "smart biomedical devices" to deliver bioactive signals for tissue regeneration are all examples of contemporary approaches to treating diseases.

It will involve three approaches, often in combination with each other: (a) therapies using tissue-regenerating cells, (b) therapies using growth factors that promote tissue cell proliferation and differentiation, and (c) therapies using biocompatible scaffolds.

Within this Special Issue, we will discuss current advances in biomaterials, biomedical device research, tissue engineering applications, drug delivery systems, nanotechnology-based disease detection systems, and the development of innovative therapeutic approaches using biomaterials.

This Special Issue is open for the submission of basic and clinical research, or that taking a multidisciplinary approach, and will also cover original articles and reviews on the following topics:

  • Novel therapeutic approaches including biomedical devices.
  • Biomaterial-based mesenchymal stem cell therapy.
  • Bioactive signal delivery for mesenchymal stem cell differentiation.
  • Application of biomedical applications in osteogenesis, chondrogenesis, angiogenesis, neurogenesis, etc.
  • Clinical trials/research on biomedical devices.
  • Tissue engineering.
  • Cancer.

Dr. Eleni Papachristou
Guest Editor

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Keywords

  • biomedical devices
  • mesenchymal stem cell
  • biomedical applications
  • Tissue engineering

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Published Papers (1 paper)

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Review

22 pages, 1405 KiB  
Review
Knee Osteoarthritis Diagnosis: Future and Perspectives
by Henri Favreau, Kirsley Chennen, Sylvain Feruglio, Elise Perennes, Nicolas Anton, Thierry Vandamme, Nadia Jessel, Olivier Poch and Guillaume Conzatti
Biomedicines 2025, 13(7), 1644; https://doi.org/10.3390/biomedicines13071644 - 4 Jul 2025
Viewed by 389
Abstract
The risk of developing symptomatic knee osteoarthritis (KOA) during a lifetime, i.e., pain, aching, or stiffness in a joint associated with radiographic KOA, was estimated in 2008 to be around 40% in men and 47% in women. The clinical and scientific communities lack [...] Read more.
The risk of developing symptomatic knee osteoarthritis (KOA) during a lifetime, i.e., pain, aching, or stiffness in a joint associated with radiographic KOA, was estimated in 2008 to be around 40% in men and 47% in women. The clinical and scientific communities lack an efficient diagnostic method to effectively monitor, evaluate, and predict the evolution of KOA before and during the therapeutic protocol. In this review, we summarize the main methods that are used or seem promising for the diagnosis of osteoarthritis, with a specific focus on non- or low-invasive methods. As standard diagnostic tools, arthroscopy, magnetic resonance imaging (MRI), and X-ray radiography provide spatial and direct visualization of the joint. However, discrepancies between findings and patient feelings often occur, indicating a lack of correlation between current imaging methods and clinical symptoms. Alternative strategies are in development, including the analysis of biochemical markers or acoustic emission recordings. These methods have undergone deep development and propose, with non- or minimally invasive procedures, to obtain data on tissue condition. However, they present some drawbacks, such as possible interference or the lack of direct visualization of the tissue. Other original methods show strong potential in the field of KOA monitoring, such as electrical bioimpedance or near-infrared spectrometry. These methods could permit us to obtain cheap, portable, and non-invasive data on joint tissue health, while they still need strong implementation to be validated. Also, the use of Artificial Intelligence (AI) in the diagnosis seems essential to effectively develop and validate predictive models for KOA evolution, provided that a large and robust database is available. This would offer a powerful tool for researchers and clinicians to improve therapeutic strategies while permitting an anticipated adaptation of the clinical protocols, moving toward reliable and personalized medicine. Full article
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