ImVitro’s second publication in RBMO

ImVitro’s third article is accessible here! We are very proud to have our work accepted in the journal RBMO. published our third paper where we used deep learning to automatically annotate thousands of embryo kinetics, identified key developmental rates linked to early miscarriage, and developed a machine learning model for…

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ImVitro’s publication in RBMO

ImVitro’s article is accessible here! We are very proud to have our work accepted in the journal RBMO. With this article, we demonstrate that EMBRYOLY as an adjunct tool to the embryologist’s initial ranking could have significantly increased first cycle pregnancy rates. This supports our strong belief that AI can help…

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ImVitro’s publication in Human Reproduction

ImVitro’s first peer-reviewed article is now accessible here! We are very proud to have our work accepted in the journal Human Reproduction. With this article, we rigorously characterize our computer vision models used which power EMBRYOLY, and demonstrate how using clinical features improves clinical pregnancy prediction. A big thank you…

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