Euploidy Prediction
2025 technological product applying machine learning to non-invasive prediction of euploidy in human embryos based on morphokinetic data.

Product Description
Euploidy Prediction is a technological product recorded in 2025 in the Lattes CV of Prof. George Marsicano Corrêa . The proposal applies machine learning to the non-invasive prediction of euploidy in human embryos based on morphokinetic data.
The product expands CEDIS work in applied artificial intelligence, exploring computational models as support for specialized data analysis in a biomedical context.
Academic Linkage
- Maria Eduarda D Santos Abritta F (product development)
- Sabrina Caldas Berna (product development)
- Prof. George Marsicano Corrêa (academic supervision and guidance)
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