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Record W4393155214 · doi:10.3389/fvets.2024.1390136

Editorial: Animal biomechanics: application of the biomedical engineering to the veterinary sciences for the animal healthcare

2024· editorial· en· W4393155214 on OpenAlexaboutno aff
Rocío Fernández, Alessia Di Giancamillo, Christian Peham, Mauro Malvè

Bibliographic record

VenueFrontiers in Veterinary Science · 2024
Typeeditorial
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
FundersAgencia Estatal de InvestigaciónMinisterio de Ciencia e Innovación
KeywordsAnimal healthVeterinary medicineHealth careMedicinePolitical science

Abstract

fetched live from OpenAlex

Biomedical engineering is a discipline that combines engineering, biology and medicine. Within biomedical engineering, biomechanics uses the equations and laws of mechanics to solve problems and study phenomena relevant to the biomedical field. Traditionally, biomedical engineering has been used extensively in human medicine to improve human health and clinical outcomes. For example, it has been used to study pathologies and understand the function of cardiovascular and pulmonary mechanics, among other organs. It has enabled virtual surgical planning and the improvement of medical devices. More recently, considerable research has been devoted to mechanobiology, to study the motility and behaviour of cells in different environments, with several applications in the study of human pathologies and tissue regeneration. Today, artificial intelligence is expected to drive future sophisticated applications.The extensive research carried out over the last 30 years in this area has led to an increase in knowledge of a considerable number of aspects related to human health. With the increase in the power of computers and the parallel development of experimental set-ups, the complexity of numerical and experimental models that reproduce natural phenomena in human medicine and health care has increased considerably, allowing further improvements in related fields of research.Surprisingly, biomedical engineering remains relatively underused in veterinary medicine. Despite its extensive applications in biology and human health, biomedical engineering has only occasionally been applied to veterinary medicine. However, the knowledge gained from previous applications of biomedical engineering in human medicine is readily available and suitable for direct implementation in veterinary medicine using similar technologies, protocols and workflows. For example, computational modelling based on patient-specific images can provide insights that are otherwise unattainable in vivo in both animals and humans. Artificial intelligence can analyse animal kinematics and stability to help diagnose disease. Experimental tests on animal tissue, originally intended for human health research, can be applied to animal health. In addition, three-dimensional (3D) additive printing for orthopaedicpurposes can facilitate the creation of customised endo- and exoprostheses uniquely tailored to the needs of animals.This research topic therefore focuses on the application of biomedical engineering to veterinary science with the specific and precise aim of improving veterinary medicine and animal health. In this special issue, there is a collection of 14 papers that include some of the commented aspects and applications in different animals and techniques.In the field of experimental animal orthopaedics, Brabon et al. propose a Bayesian network model to study condylar fractures in horses. As these are commonly repaired with cortical screws, inadequate interfragmentary compression can lead to postoperative complications. Their investigation attempts to assess the relationships between several different fixation techniques and interfragmentary compression. They found moderate evidence that triangular repairs result in greater interfragmentary compression than linear repairs. Mendaza DeCal et al. present and test a new 3D-printed endoprosthetic device with a specific protocol to mimic normal canine loading during walking, trotting and galloping. The research is a first step in the development of a valuable alternative to the well-known complex exo- endoprosthetic procedure for animals. Shi et al. examined the qualitative and quantitative morphological features of the porcine knee and anterior cruciate ligaments, comparing human and animal data reported in the literature. They found similar locations, orientations and basic morphology to humans, but different structure and dimensions. Lundin et al. Lundin et al. develop a biomechanical test model of partial tarsal arthrodesis to determine whether a novel resorbable bone adhesive, phosphoserine-modified cement, provides measurable fixation strength in canine calcaneal arthrodesis without orthopaedic implants. This work attempts to provide an alternative to arthrodesis. This invasive surgical procedure is used to treat canine and feline joints associated with a high incidence of complications. The results obtained in a cadaveric biomechanical test model showed that the resorbable adhesive can potentially contribute to the stability of arthrodesis surgery and can be evaluated as an alternative or complement to traditional fixation with metal implants.Studies of large animal populations can help understand the effectiveness of pharmaceuticals. Huang conducts a comprehensive analysis of 131 metagenomic sequencing datasets from five species of non-human primates, including different regions and lifestyles, to analyse their resistance to antibiotics. As antibiotic resistance is a serious threat to animal health, the proposed comprehensive research will increase the knowledge of antibiotic management and disease prevention in a bidirectional way for both animal and human health.Computational animal models using numerical algorithms and three- dimensional geometric discretisation have been widely used in human medicine, but few studies have focused on animal health. Xue et al. proposed a finite element analysis to study biomechanical changes in the rabbit knee joint. The computational results suggest that horizontal meniscal tears may not havea significant effect on the rabbit knee joint, and that different resection strategies may result in different biomechanical environmental changes.The aim of this paper is to provide a reference for the future selection of experimental studies and clinical surgical strategies. Fernández Parra et al. propose a computational fluid dynamics study focused on the treatment of asthma in cats. They evaluate the inhalation, deposition and transport of drug microparticles using discrete phase modelling and considering flows and particle sizes of salbutamol in a healthy cat model. The results suggest that therapy in animals differs from that in humans. In the same line, Zamora Perarnau et al. investigated the effects of different airway management devices in cats under general anaesthesia. They proposed a comparison of the performance of endotracheal tubes and supraglottic airway devices, showing that the correct size should be chosen carefully to avoid obstruction and reduce resistance. In their methods article, Burgos et al. introduce the in-house software Flowgy to the veterinary community. This software is a semi- automated tool designed to simulate human and animal airflow through the nasal passage to detect changes in flow. In this study, the authors tested the use and accuracy of Flowgy in lions with the aim of understanding the dynamics of nasal airflow in large felids for their health care and conservation.Brabant et al. used non-invasive experimental methods for obtaining images of pulmonary ventilation in cattle to evaluate whether electrical impedance tomography variables could detect a difference in ventilation homogeneity between healthy and respiratory diseased cattle. Electrical impedance is a non- invasive imaging technique used to detect impedance changes where there is a change in the electrical conductivity of the body. Such changes are usually due to changes in the regional distribution of ventilation within the lung or changes in blood flow. The authors demonstrated that the proposed method, based on a belt with sensors connected to a computer, is a useful tool for the diagnosis of respiratory disease in cattle.Animal kinematics and stability is also an important topic in this special issue. Non-invasive measurements can help in the early diagnosis of orthopaedic diseases. Lutonsky et al. investigate the effect of external mechanical perturbations on stability in dogs using the body's centre of pressure and demonstrate the effects of a balance training device in dogs. They show that the wobble amplitude of the platform controls the intensity of training programmes on motorised equipment. Virag et al. measured the centre of pressure and ground reaction forces of 32 Labrador Retrievers and 17 Golden Retrievers at 4, 8 and 12 months of age to improve knowledge of canine hip dysplasia. The results showed significantly higher values for the centre of pressure in the affected limb groups in both breeds at each measurement point during gait. The differences in measured parameters between limbs with healthy and diseased hip joints can be interpreted in terms of possible biomechanical adaptations and as an indicator of reduced stability. Mielke et al. apply semi-automatic deep learning digitisation to a multivariate kinematic dataset in piglets to calculate joint angle profiles. The proposed workflow has potential for automated, accurate screening in livestock management. The overall aim of the study is to provide accurate diagnostic measurements, generated at high throughput, to improve animal welfare. Finally, Charalambouset al. investigate changes in vertical ground reaction forces, centre of pressure and paw pressure in Belgian Malinois participating in obedience competitions during heelwork walking using a sensor-based experimental set-up. The measured variables are closely related and can be used to describe the effects of various factors such as ageing, orthopaedic and neurological diseases.In summary, the findings of the aforementioned papers underline a significant collection of pertinent applications of biomedical engineering in animal healthcare. However, they also indicate that numerous aspects remain ready for investigation concerning the intersection of these two disciplines.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0030.001
Science and technology studies0.0030.003
Scholarly communication0.0060.005
Open science0.0040.001
Research integrity0.0140.019
Insufficient payload (model declined to judge)0.0210.020

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.099
GPT teacher head0.458
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2024
Admission routes1
Has abstractyes

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