"This was a case of pure numbers. We were able to get more sperm, hence we were able to then inject more eggs, and we had a higher chance of getting embryos from this cohort.”

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Our second speaker is our Prize runner up, Dale Goss presenting his team’s work at developing and validating a machine learning model that can actually help us in the real-time sperm detection during this laborious sperm search process.

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The criteria is intended to identify infertile men who can benefit from hormonal therapy.

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- Editor’s Choice papers
- Hot Topic articles
- Talking Points features
- Interviews
- RBMO Live webinars

...and our Robert G Edwards Prize Paper Award!

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