Forecasting Outcomes of Assisted Reproductive Treatments Using Artificial Networks (FORTUNE) classification system: a new prognostic model to predict euploid blastocyst yield in patients undergoing IVF
Seli E, Kalafat E, Reig A, Whitehead C, Ata B, Garcia-Velasco J. Forecasting Outcomes of Assisted Reproductive Treatments Using Artificial Networks (FORTUNE) classification system: a new prognostic model to predict euploid blastocyst yield in patients undergoing IVF. Human Reproduction 2025, deaf163. PMID: 40889782, DOI: 10.1093/humrep/deaf163.Peer-Reviewed Original ResearchAnti-Mullerian hormoneEuploid blastocystsOvarian reserve markersBlastocyst yieldPrognosis groupPrognostic groupsPGT-AReserve markersIVF patientsAbsolute countsSingle-center study designOutcome of assisted reproduction treatmentPre-implantation genetic testingTemporal validation setStudy funding/competing interest(sAntral follicle countAssisted reproduction treatmentPartner ageMedian female ageFemale ageTemporal validation cohortEmbryo euploidyPatient ageIVF cyclesFollicle count
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