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Samantha Duffy
Researcher at University of Nottingham
Publications - 9
Citations - 604
Samantha Duffy is an academic researcher from University of Nottingham. The author has contributed to research in topics: Embryo transfer & Embryo. The author has an hindex of 5, co-authored 7 publications receiving 492 citations.
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Journal ArticleDOI
Modelling a risk classification of aneuploidy in human embryos using non-invasive morphokinetics
TL;DR: No significant differences were observed in first or second cell-cycle length, synchrony of the second or third cell cycles, duration of blastulation, multinucleation at the 2-cell stage and irregular division patterns between euploid and aneuploid embryos.
Journal ArticleDOI
Retrospective analysis of outcomes after IVF using an aneuploidy risk model derived from time-lapse imaging without PGS
Alison Campbell,Simon Fishel,Natalie Bowman,Samantha Duffy,Mark Sedler,Simon Thornton. Alison Campbell,Simon Thornton +6 more
TL;DR: The clinical relevance of the aneuploidy risk classification model is demonstrated and a novel, non-invasive method of embryo selection to yield higher implantation and live birth rates without PGS is introduced.
Journal ArticleDOI
Live births after embryo selection using morphokinetics versus conventional morphology: a retrospective analysis
Simon Fishel,Alison Campbell,Sue Montgomery,Rachel Smith,Lynne Nice,Samantha Duffy,L. Jenner,Kathyrn Berrisford,Louise Kellam,Robert A. Smith,Ivy D'Cruz,Ashley Beccles +11 more
TL;DR: This is the largest study of the prospective use of time-lapse imaging algorithms in IVF reporting on live birth outcome, although the nature of purely a closed system versus standard incubation could not be assessed.
Journal ArticleDOI
Time-lapse imaging algorithms rank human preimplantation embryos according to the probability of live birth.
Simon Fishel,Alison Campbell,Sue Montgomery,Rachel Smith,Lynne Nice,Samantha Duffy,L. Jenner,Kathryn Berrisford,Louise Kellam,Robert A. Smith,Fiona Foad,Ashley Beccles +11 more
TL;DR: Time-lapse imaging morphokinetic-based algorithms for blastocysts can provide objective hierarchical ranking of embryos for predicting live birth and may have greater discriminating power than conventional blastocyst morphology assessment.
Journal ArticleDOI
Evolution of embryo selection for IVF from subjective morphology assessment to objective time-lapse algorithms improves chance of live birth.
Simon Fishel,Simon Fishel,Alison Campbell,Fiona Foad,Laina Davies,Louise Best,Natalie Davis,Rachel Smith,Samantha Duffy,Stacy Wheat,Sue Montgomery,Audrey Wachter,Ashley Beccles +12 more
TL;DR: Objective TLIA is superior for selecting embryos for their propensity to generate a live birth over a conventional, subjective blastocyst morphology scoring system.