Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis
Male infertility affects 10–15% of couples globally, with azoospermia — complete absence of sperm — accounting for 15% of cases. Traditional diagnostic methods for azoospermia are subjective and variable. This study presents a novel, noninvasive, and accurate diagnostic method using surface-enhanced...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
World Scientific Publishing
2025-01-01
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| Serie: | Journal of Innovative Optical Health Sciences |
| Soggetti: | |
| Accesso online: | https://www.worldscientific.com/doi/10.1142/S1793545825500038 |
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