{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T10:05:55Z","timestamp":1787997955171,"version":"build-2784847793"},"reference-count":48,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T00:00:00Z","timestamp":1721433600000},"content-version":"vor","delay-in-days":201,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Quantitative and Biophysical Biology programme","award":["220001\/Z\/19\/Z"],"award-info":[{"award-number":["220001\/Z\/19\/Z"]}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["212372\/Z\/18\/Z"],"award-info":[{"award-number":["212372\/Z\/18\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Manchester University NHS Foundation Trust"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Demand for in vitro fertilization (IVF) treatment is growing; however, success rates remain low partly due to difficulty in selecting the best embryo to be transferred. Current manual assessments are subjective and may not take advantage of the most informative moments in embryo development. Here, we apply convolutional neural networks (CNNs) to identify key windows in pre-implantation human development that can be linked to embryo viability and are therefore suitable for the early grading of IVF embryos. We show how machine learning models trained at these developmental time points can be used to refine overall embryo viability assessment. Exploiting the well-known capabilities of transfer learning, we illustrate the performance of CNN models for very limited datasets, paving the way for the use on a clinic-by-clinic basis, catering for local data heterogeneity.<\/jats:p>","DOI":"10.1093\/biomethods\/bpae052","type":"journal-article","created":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T02:17:48Z","timestamp":1721441868000},"source":"Crossref","is-referenced-by-count":6,"title":["Deep learning pipeline reveals key moments in human embryonic development predictive of live birth after in vitro fertilization"],"prefix":"10.1093","volume":"9","author":[{"given":"Camilla","family":"Mapstone","sequence":"first","affiliation":[{"name":"Faculty of Biology, Medicine and Health (FBMH), Division of Developmental Biology & Medicine, University of Manchester , Manchester, M13 9PT, United Kingdom"},{"name":"Alliance Manchester Business School, University of Manchester , Manchester, M15 6PB, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Helen","family":"Hunter","sequence":"additional","affiliation":[{"name":"Manchester University NHS Foundation Trust Department of Reproductive Medicine, Old Saint Mary\u2019s Hospital, , Manchester Academic Health Science Centre, Manchester, M13 0JH, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4307-1293","authenticated-orcid":false,"given":"Daniel","family":"Brison","sequence":"additional","affiliation":[{"name":"Department of Reproductive Medicine, Old Saint Mary\u2019s Hospital, Manchester University NHS Foundation Trust , Manchester Academic Health Science Centre, Manchester, M13 0JH, United Kingdom"},{"name":"Division of Developmental Biology and Medicine, Maternal and Fetal Health Research Centre , School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9WL, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia","family":"Handl","sequence":"additional","affiliation":[{"name":"Alliance Manchester Business School, University of Manchester , Manchester, M15 6PB, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2214-5940","authenticated-orcid":false,"given":"Berenika","family":"Plusa","sequence":"additional","affiliation":[{"name":"Faculty of Biology, Medicine and Health (FBMH), Division of Developmental Biology & Medicine, University of Manchester , Manchester, M13 9PT, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,7,19]]},"reference":[{"key":"2024080723535207300_bpae052-B1","first-page":"1430","article-title":"Artificial intelligence in biological sciences","volume":"12","author":"Bhardwaj","year":"2022","journal-title":"Life (Basel, 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the use of time-lapse technology","volume":"2020","author":"Apter","year":"2020","journal-title":"Hum Reprod Open"},{"key":"2024080723535207300_bpae052-B6","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.rbmo.2021.09.022","article-title":"Inter-centre reliability in embryo grading across several IVF clinics is limited: implications for embryo selection","volume":"44","author":"Cimadomo","year":"2022","journal-title":"Reprod Biomed Online"},{"key":"2024080723535207300_bpae052-B7","doi-asserted-by":"crossref","first-page":"dev183079","DOI":"10.1242\/dev.183079","article-title":"Common principles of early mammalian embryo self-organisation","volume":"147","author":"P\u0142usa","year":"2020","journal-title":"Development (Cambridge)"},{"key":"2024080723535207300_bpae052-B8","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1016\/j.fertnstert.2019.12.004","article-title":"Consistency and objectivity of automated embryo assessments using deep neural 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