C
Cristina Hickman
Researcher at Imperial College London
Publications - 56
Citations - 700
Cristina Hickman is an academic researcher from Imperial College London. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 7, co-authored 24 publications receiving 460 citations.
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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.
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Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization.
Pegah Khosravi,Ehsan Kazemi,Qiansheng Zhan,Jonas Malmsten,M. Toschi,Pantelis Zisimopoulos,Alexandros Sigaras,Stuart Lavery,Lee Cooper,Cristina Hickman,Marcos Meseguer,Zev Rosenwaks,Olivier Elemento,Nikica Zaninovic,Iman Hajirasouliha +14 more
TL;DR: An AI-driven approach provides a reproducible way to assess embryo quality and uncovers new, potentially personalized strategies to select embryos.
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Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?
Carol Lynn Curchoe,Jonas Malmsten,Charles L. Bormann,Hadi Shafiee,Adolfo Flores-Saiffe Farias,Gerardo Mendizabal,Alejandro Chavez-Badiola,Alexandros Sigaras,Hoor Alshubbar,J Chambost,Céline Jacques,Chris-Alexandre Pena,Andrew J. Drakeley,Thomas Fréour,Iman Hajirasouliha,Cristina Hickman,Olivier Elemento,Nikica Zaninovic,Zev Rosenwaks +18 more
TL;DR: Although AI is the main driver of emergent technologies in reproduction, such as robotics, Big Data, and internet of things, it will continue to be the engine for technological innovation for the foreseeable future.
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An artificial intelligence model based on the proteomic profile of euploid embryos and blastocyst morphology: a preliminary study
Lorena Bori,Francisco Domínguez,Eleonora Inacio Fernandez,Raquel Del Gallego,Lucia Alegre,Cristina Hickman,Alicia Quiñonero,Marcelo Fábio Gouveia Nogueira,José Celso Rocha,Marcos Meseguer +9 more
TL;DR: The model proposed in this preliminary report may provide a promising tool to select the embryo most likely to lead to a live birth in a euploid cohort by improving the efficacy of an assisted reproduction treatment by reducing the number of transfers per patient.
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Cytoplasmic halo characteristics during fertilization and their implications for human preimplantation embryo development and pregnancy outcome
Kenji Ezoe,Cristina Hickman,Tetsuya Miki,Tadashi Okimura,Kazuo Uchiyama,Akiko Yabuuchi,Tamotsu Kobayashi,Giovanni Coticchio,Keiichi Kato +8 more
TL;DR: Halo presence and morphokinetics are associated with cleavage patterns, development to blastocyst stage and ongoing pregnancy rate after single Blastocyst transfer, and Cytoplasmic halo might be valuable predictor for refining selection of more developmentally competent blastocysts.