Musculoskeletal Diagnostics, Biomaterials and Bone Regeneration
A special issue of Journal of Functional Biomaterials (ISSN 2079-4983). This special issue belongs to the section "Bone Biomaterials".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 19
Special Issue Editors
Interests: development, optimization and clinical validation of methods for the characterization of human tissues with a specific focus on novel diagnostic applications of ultrasound signals on bone and muscle tissues; clinical data analysis; nanomaterials for medical application
Interests: biomaterials; tissue engineering; medical devices; collagen
Special Issues, Collections and Topics in MDPI journals
Interests: advancing the understanding of bone and muscle interplay to develop innovative biomarkers and therapies that improve musculoskeletal health and patient outcomes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to the Special Issue “Musculoskeletal Diagnostics, Biomaterials and Bone Regeneration.” Accurate musculoskeletal diagnosis and the development of advanced biomaterials for bone regeneration remain key challenges in improving patient outcomes and overall musculoskeletal health. Despite significant progress in diagnostic imaging and biomaterial engineering, further research is needed to optimize clinical translation and to deepen our understanding of the biological mechanisms driving tissue regeneration.
This Special Issue aims to bridge materials science and diagnostic innovation to foster reliable, patient-centered solutions. We encourage submissions exploring recent advances for the diagnosis of musculoskeletal disorders through medical devices (such as ultrasound, MRI, and X-ray technologies) and biochemical mechanisms, as well as studies on the development and characterization of biomaterials for bone repair and regeneration.
By bringing together engineers, clinicians, and experts in imaging and artificial intelligence, this Issue seeks to promote rigorous methodologies, reproducible benchmarks, and clinically meaningful outcomes that can accelerate the transition from laboratory research to clinical practice.
Contributions leveraging imaging or AI-assisted diagnostics to improve disease diagnosis, monitor tissue integration, and predict therapeutic outcomes are particularly welcome.
Dr. Fiorella Anna Lombardi
Dr. Nunzia Gallo
Dr. Federica Saponaro
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Journal of Functional Biomaterials is an international peer-reviewed open access monthly 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 2700 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
- musculoskeletal diagnostics
- biomaterials
- bone regeneration
- imaging and AI
- 3D printing
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