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New horizons in human sperm selection for assisted reproduction
Brett Nixon1,2, John E Schjenken1,2, Nathan D Burke1,2
1Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, The University of Newcastle, Callaghan, NSW, Australia.
Frontiers in Endocrinology
|March 13, 2023
Summary
Advanced diagnostics like whole exome sequencing and AI-driven imaging are improving male infertility assessment. These technologies enhance our understanding of sperm quality for better fertility predictions and treatments.
Area of Science:
- Reproductive Medicine
- Andrology
- Genetics
Background:
- Male infertility affects 50% of couples undergoing assisted reproduction.
- Conventional diagnostic methods rely on descriptive criteria for sperm quality.
- Limitations in current diagnostics necessitate improved methods for fertility assessment.
Purpose of the Study:
- To review recent advances in understanding sperm biology and function.
- To explore innovative diagnostic and treatment approaches for male infertility.
- To discuss the potential of precision medicine in fertility care.
Main Methods:
- Review of current literature on male infertility diagnostics and treatments.
- Analysis of emerging technologies such as whole exome sequencing and proteomics.
- Evaluation of advanced imaging and machine learning applications in fertility.
Main Results:
- Whole exome sequencing and proteomics can identify novel infertility biomarkers.
- Advanced imaging coupled with AI can deepen understanding of infertility causes.
- Precision medicine approaches show promise for optimizing male infertility management.
Conclusions:
- New technologies are crucial for advancing male infertility diagnosis and treatment.
- Integrating advanced platforms like AI and genetic sequencing can revolutionize fertility care.
- Further research is needed for robust clinical adoption of precision medicine in fertility.
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