AIMC Topic: Embryonic Development
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Artificial intelligence for optimal in vitro fertilization morphokinetics.
European journal of obstetrics, gynecology, and reproductive biology
Jul 1, 2025
OBJECTIVE: To create an artificial intelligence model able to determine the morphokinetic phases of an embryo by utilizing time-lapse imaging (TLI) videos.
Time will tell: time-lapse technology and artificial intelligence to set time cut-offs indicating embryo incompetence.
Human reproduction (Oxford, England)
Dec 1, 2024
STUDY QUESTION: Can more reliable time cut-offs of embryo developmental incompetence be generated by combining time-lapse technology (TLT), artificial intelligence, and preimplantation genetics screening for aneuploidy (PGT-A)?
Deep learning-based enhancement of fluorescence labeling for accurate cell lineage tracing during embryogenesis.
Bioinformatics (Oxford, England)
Nov 1, 2024
MOTIVATION: Automated cell lineage tracing throughout embryogenesis plays a key role in the study of regulatory control of cell fate differentiation, morphogenesis and organogenesis in the development of animals, including nematode Caenorhabditis ele...
[Application of the blastomere count variations "skip value" in the embryo AI assessment].
Zhonghua fu chan ke za zhi
Jul 25, 2024
To explore the correlation between blastomere count variations "skip value" which extracted from by time-lapse technology (TLT) combined with artificial intelligence (AI) and morphological features of in vitro fertilization (IVF) embryo, and to test...
The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model.
Nucleic acids research
Jul 22, 2024
Gene expression is temporally and spatially regulated by the interaction of transcription factors (TFs) and cis-regulatory elements (CREs). The uneven distribution of TF binding sites across the genome poses challenges in understanding how this distr...
Machine learning in time-lapse imaging to differentiate embryos from young vs old mice†.
Biology of reproduction
Jun 12, 2024
Time-lapse microscopy for embryos is a non-invasive technology used to characterize early embryo development. This study employs time-lapse microscopy and machine learning to elucidate changes in embryonic growth kinetics with maternal aging. We anal...
Parameters to identify good quality oocytes and embryos in cattle.
Reproduction, fertility, and development
Dec 1, 2021
Oocyte/embryo selection methodologies are either invasive or noninvasive and can be applied at various stages of development from the oocyte to cleaved embryos and up to the blastocyst stage. Morphology and the proportion of embryos developing to the...
A machine learning system with reinforcement capacity for predicting the fate of an ART embryo.
Systems biology in reproductive medicine
Feb 1, 2021
The aim of this work was o construct a score issued from a machine learning system with self-improvement capacity able to predict the fate of an ART embryo incubated in a time lapse monitoring (TLM) system. A retrospective study was performed. For th...
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