Animal Anatomy Teaching: New Concepts, Innovations and Applications

A special issue of Veterinary Sciences (ISSN 2306-7381). This special issue belongs to the section "Veterinary Education, Veterinary Communication and Animal Behavior".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 536

Special Issue Editor


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Guest Editor
Department of Veterinary Anatomy, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Rampura Phul, Bathinda 151103, India
Interests: veterinary anatomy; artificial intelligence; teaching innovations; blood cells; functional morphology; electron microscopy; immunology; immunohistochemistry

Special Issue Information

Dear Colleagues,

The Special Issue entitled "Animal Anatomy Teaching: New Concepts, Innovations and Applications" provides an in-depth examination of innovative pedagogical methods for teaching animal anatomy, a fundamental component of veterinary sciences. It emphasizes transitioning from conventional dissection and static models to advanced digital tools, including 3D modeling, augmented reality (AR), and virtual dissection platforms. These innovations offer ethical and accessible alternatives for instruction.

Contributors are invited to explore how technological advancements can enhance student engagement and learning outcomes through dynamic visualizations. This Issue addresses interdisciplinary strategies, including problem-based and collaborative learning, while tackling challenges in resource-limited environments.

Case studies from various educational institutions provide insights into curriculum and assessment redesign. This Special Issue is a valuable resource for educators aiming to modernize animal anatomy teaching while promoting inclusivity and scientific rigor.

Launched by the journal Veterinary Sciences, this Special Issue aims to compile the latest research findings and promote theoretical and practical advancements in animal anatomy education. It encourages the exploration of new concepts, innovations, and their applications in teaching this subject.

All papers submitted to this Special Issue will be reviewed by independent referees, and the final decisions will be made by a Veterinary Sciences Editorial Board Member who does not have any conflict of interests with the submission.

Dr. Om Prakash Choudhary
Guest Editor

Manuscript Submission Information

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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. Veterinary Sciences 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 2100 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

  • animal anatomy
  • artificial intelligence
  • teaching methodologies
  • technological advancements
  • 3D models
  • virtual dissection
  • student engagement

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Published Papers (2 papers)

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Research

19 pages, 3636 KiB  
Article
Smart Osteology: An AI-Powered Two-Stage System for Multi-Species Long Bone Detection and Classification Using YOLOv5 and CNN Architectures for Veterinary Anatomy Education and Forensic Applications
by İmdat Orhan
Vet. Sci. 2025, 12(8), 765; https://doi.org/10.3390/vetsci12080765 (registering DOI) - 16 Aug 2025
Abstract
In this study, bone detection was performed using the YOLO algorithm on a dataset comprising photographs of the scapula, humerus, and femur from cattle, horses, and dogs. Subsequently, convolutional neural networks (CNNs) were employed to classify both the bone type and the species. [...] Read more.
In this study, bone detection was performed using the YOLO algorithm on a dataset comprising photographs of the scapula, humerus, and femur from cattle, horses, and dogs. Subsequently, convolutional neural networks (CNNs) were employed to classify both the bone type and the species. Trained on a total of 26,148 images, the model achieved an accuracy rate of up to 97.6%. The system was designed to operate not only on mobile devices but also in an offline, “closed model” version, thereby enhancing its applicability in forensic medicine settings where data security is critical. Additionally, the application was structured as a virtual assistant capable of responding to users in both written and spoken formats and of generating output in PDF format. In this regard, this study presents a significant example of digital transformation in fields such as veterinary anatomy education, forensic medicine, archaeology, and crime scene investigation, providing a solid foundation for future applications. Full article
(This article belongs to the Special Issue Animal Anatomy Teaching: New Concepts, Innovations and Applications)
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12 pages, 1441 KiB  
Article
Protective Effect of Tyrosol on BALF Cytology and Biochemistry in Rats Administered Intratracheal Bleomycin
by Elif Ekinci, Burak Karabulut, Canan Akdeniz Incili, Eren Cankaya, Ibrahim Seker and Necati Timurkaan
Vet. Sci. 2025, 12(8), 760; https://doi.org/10.3390/vetsci12080760 - 14 Aug 2025
Abstract
This study aimed to investigate the cytological and biochemical effects of tyrosol on bronchoalveolar lavage fluid (BALF) in an experimental lung injury model induced via intratracheal bleomycin (BLM) administration at 4 mg/kg. Tyrosol is a compound found in olive oil with antioxidant, anti-inflammatory, [...] Read more.
This study aimed to investigate the cytological and biochemical effects of tyrosol on bronchoalveolar lavage fluid (BALF) in an experimental lung injury model induced via intratracheal bleomycin (BLM) administration at 4 mg/kg. Tyrosol is a compound found in olive oil with antioxidant, anti-inflammatory, and antifibrotic activity, and there are no publications on its effect on broncho-alveolar lavage. A total of fifty male Sprague Dawley rats were randomly divided into five groups: control, BLM only, and BLM combined with tyrosol at doses of 20, 40, and 80 mg/kg. Following a two-week treatment period, BALF samples were collected and evaluated cytologically and biochemically. BLM administration led to significant increases in the proportions of lymphocytes, neutrophils, and epithelial cells (p < 0.05) and a decrease in macrophage percentages in BALF. Tyrosol treatment modulated these cellular alterations in a dose-dependent manner, with notable increases in macrophage ratios and reductions in inflammatory cells, particularly at 40 and 80 mg/kg doses. Furthermore, the presence of foamy macrophages—commonly observed in the BLM group—was found to decrease in a dose-dependent manner with tyrosol administration. Biochemical analyses showed that BLM significantly elevated malondialdehyde (MDA) levels (p < 0.05), while reducing the levels of antioxidant enzymes such as superoxide dismutase (SOD), glutathione peroxidase (GPx), and catalase (CAT). Tyrosol treatment improved these parameters in a dose-dependent manner, thereby reducing oxidative stress. In cytokine analysis, BLM increased all proinflammatory cytokine levels, whereas tyrosol treatment, particularly at higher doses, significantly decreased IL-6 levels (p < 0.05). In conclusion, tyrosol demonstrated notable protective effects against bleomycin-induced lung injury by exerting anti-inflammatory and antioxidative actions at the BALF level. Full article
(This article belongs to the Special Issue Animal Anatomy Teaching: New Concepts, Innovations and Applications)
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