The future of equine semen analysis.
Abstract: We are currently experiencing a period of rapid advancement in various areas of science and technology. The integration of high throughput 'omics' techniques with advanced biostatistics, and the help of artificial intelligence, is significantly impacting our understanding of sperm biology. These advances will have an appreciable impact on the practice of reproductive medicine in horses. This article provides a brief overview of recent advances in the field of spermatology and how they are changing assessment of sperm quality. This article is written from the authors' perspective, using the stallion as a model. We aim to portray a brief overview of the changes occurring in the assessment of sperm motility and kinematics, advances in flow cytometry, implementation of 'omics' technologies, and the use of artificial intelligence/self-learning in data analysis. We also briefly discuss how some of the advances can be readily available to the practitioner, through the implementation of 'on-farm' devices and telemedicine.
Publication Date: 2024-03-12 PubMed ID: 38467450DOI: 10.1071/RD23212Google Scholar: Lookup
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- Journal Article
Summary
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This research explores the impact of advanced biostatistics, ‘omics’ techniques, and artificial intelligence on understanding sperm biology, particularly in horses. The article sheds light on advancements in assessing sperm quality and how these technologies can be practically applied in reproductive medicine.
Overview of the Research
- The research centralizes on how cutting-edge technologies and methodologies, including high throughput ‘omics’ techniques, advanced biostatistics, and artificial intelligence, are dramatically reshaping our grasp of sperm biology, particularly in stallions.
- The term ‘omics’ refers to a set of advanced scientific techniques used in biology to conduct comprehensive and holistic studies of various biological systems. The ‘omics’ technologies typically include genomics, proteomics, metabonomics, etc.
- The study expounds on the various changes occurring in the assessment of sperm quality, motility, and kinematics (the study of motion).
Implementation of Advanced Techniques
- The authors highlight the incorporation of the ‘omics’ technologies. These include high throughput screening (which allows rapid performance of numerous biochemical, genetic, or pharmacological tests) aiding to explore biological parameters including genetic materials, protein structure, metabolic pathways that contribute to sperm function and quality.
- The study pays significant attention to advances in the field of flow cytometry – a technique used to measure the physical and chemical characteristics of a population of cells or particles – and how it aids in sperm analysis.
Role of Artificial Intelligence
- The use of artificial intelligence (AI) and self-learning systems are considerably discussed in connection with data analysis related to sperm biology and quality assessment.
- AI can aid in handling the vast amount of data generated from ‘omics’ and flow cytometry analyses, enabling accurate analysis and interpretation, and possibly uncovering hidden patterns or correlations that might otherwise go unnoticed.
New Practices in Reproductive Medicine
- The article also ventures into the practical aspects of these advances in reproductive medicine. The authors discuss possible implementation of ‘on-farm’ devices and telemedicine to make these advances readily available to practitioners.
- The concept of ‘on-farm’ devices refers to the use of portable tools and devices at the site of the livestock (farm) for immediate testing, diagnosis, and possibly treatment. On the other hand, telemedicine could allow virtual consultation, guidance, or even remote analysis using the aforementioned techniques.
Cite This Article
APA
Peña FJ, Martín-Cano FE, Becerro-Rey L, Ortega-Ferrusola C, Gaitskell-Phillips G, da Silva-Álvarez E, Gil MC.
(2024).
The future of equine semen analysis.
Reprod Fertil Dev.
https://doi.org/10.1071/RD23212 Publication
Researcher Affiliations
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