The potential of self- supervised learning in embryo selection for IVF success

Patterns (N Y). 2024 Jul 12;5(7):101012. doi: 10.1016/j.patter.2024.101012.

Abstract

How to select the "best" embryo for transfer is a long-standing question in clinical in vitro fertilization (IVF). Wang et al. proposed a multi-modal self-supervised learning framework for human embryo selection with a high accuracy and generalization ability.

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  • News