Featured Publications
Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics
Yang L, Peavey M, Kaskar K, Chappell N, Zhu L, Devlin D, Valdes C, Schutt A, Woodard T, Zarutskie P, Cochran R, Gibbons W. Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics. F&S Reports 2022, 3: 116-123. PMID: 35789724, PMCID: PMC9250114, DOI: 10.1016/j.xfre.2022.04.004.Peer-Reviewed Original ResearchClinical pregnancy ratePregnancy rateClinical pregnancyAcademic fertility clinicRetrospective cohort analysisLive birth rateTertiary hospital settingLive birth outcomesPositive predictive valueBirth outcomesCohort analysisHospital settingFertility clinicsPredictive valueSecondary analysisPregnancyEmbryo morphokineticsBirth rateMorphokineticsTime-lapse microscopySimilar resultsPatientsClinic
2020
Embryos from polycystic ovary syndrome patients with hyperandrogenemia reach morula stage faster than controls
Chappell N, Barsky M, Shah J, Peavey M, Yang L, Sangi-Haghpeykar H, Gibbons W, Blesson C. Embryos from polycystic ovary syndrome patients with hyperandrogenemia reach morula stage faster than controls. F&S Reports 2020, 1: 125-132. PMID: 34223228, PMCID: PMC8244380, DOI: 10.1016/j.xfre.2020.05.006.Peer-Reviewed Original ResearchPolycystic ovary syndromeHyperandrogenic polycystic ovary syndromeHigher miscarriage rateMiscarriage rateBody mass index-matched patientsPolycystic ovary syndrome patientsAcademic fertility clinicRetrospective cohort analysisTertiary hospital settingObstetric outcomesRotterdam criteriaControl patientsOvary syndromeAltered fertilitySyndrome patientsCohort analysisHospital settingBlastulation ratePatientsOvarian folliclesFertility clinicsEmbryo morphokineticsEarly embryo developmentWomenFertilization rate