Advances in Equine Sports Medicine, Therapy and Rehabilitation: 2nd Edition
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Equids".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 6
Special Issue Editors
Interests: biomechanics; equine sports medicine; physiotherapy; regenerative therapy; rehabilitation; orthopedics
Special Issues, Collections and Topics in MDPI journals
Interests: exercise physiology; equitation science; sports medicine; performance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Building on the success of our first Special Issue on “Advances in Equine Sports Medicine, Therapy and Rehabilitation”, we are pleased to announce a second volume dedicated to the latest scientific, clinical, and technological developments in this rapidly evolving field.
As equine athletes face increasing performance demands, the importance of evidence-based prevention, accurate diagnosis, and effective rehabilitation strategies has never been greater. In this volume, we continue to welcome submissions addressing musculoskeletal health, injury prevention, physical therapy, and regenerative medicine, but with a renewed focus on technology-driven approaches that are transforming the future of equine care.
We will accept submissions in any area of equine sports medicine, therapy, and rehabilitation, and particularly encourage research that explores the following:
- Artificial intelligence (AI) and machine learning in lameness detection, gait analysis, and injury risk modeling;
- Wearable technologies and biomechanical sensors for the real-time monitoring of locomotion, cardiovascular performance, welfare, and recovery;
- Advanced imaging and diagnostics, including portable and dynamic modalities;
- Data-driven rehabilitation protocols, supported by digital tools and technology to monitor recovery;
- Innovations in regenerative therapy including stem cell applications and tissue engineering.
This Special Issue aims to provide a platform for interdisciplinary research that integrates veterinary science, sports medicine, engineering, and data analytics to support the health, welfare, and peak performance of equine athletes across disciplines.
Submissions from clinicians, researchers, and industry partners are welcome, particularly those providing practical insights, novel methodologies, or translational research with potential real-world impact.
Dr. Roberta Blake
Dr. David Marlin
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. Animals 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
- equine sports medicine
- rehabilitation therapy
- lameness and gait analysis
- wearable sensors
- artificial intelligence (AI)
- machine learning
- biomechanics
- injury prevention
- regenerative therapies
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