Machine learning and microfluidic integration for oocyte quality prediction
Abstract Despite advancements in in vitro fertilization (IVF) over the past 30 years, its outcome effectiveness remains low (20–40%). This study introduces a microfluidic-based machine learning framework to improve predictive accuracy in oocyte quality assessment. Immature oocytes were recorded as t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-11810-4 |
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