AIMC Topic: Embryo, Mammalian

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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...
Kinetics Models, Biological Embryo, Mammalian Male Predictive Value of Tests Humans Reproductive Techniques, Assisted Embryo Culture Techniques Machine Learning Single Embryo Transfer Female Adult Retrospective Studies Embryonic Development Maternal Age
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Artificial intelligence in human in vitro fertilization and embryology.

Fertility and sterility Nov 1, 2020
Embryo evaluation and selection embody the aggregate manifestation of the entire in vitro fertilization (IVF) process. It aims to choose the "best" embryos from the larger cohort of fertilized oocytes, the majority of which will be determined to be n...
Artificial Intelligence Animals Fertilization in Vitro Humans Preimplantation Diagnosis Embryo Implantation Embryology Embryo, Mammalian
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Metabolic activity of human blastocysts correlates with their morphokinetics, morphological grade, KIDScore and artificial intelligence ranking.

Human reproduction (Oxford, England) Sep 1, 2020
STUDY QUESTION: Is there a relationship between blastocyst metabolism and biomarkers of embryo viability?
Blastocyst Embryo, Mammalian Aged Cohort Studies Embryo Culture Techniques Humans Artificial Intelligence Pregnancy Female Retrospective Studies
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Consistency and objectivity of automated embryo assessments using deep neural networks.

Fertility and sterility Apr 1, 2020
OBJECTIVE: To evaluate the consistency and objectivity of deep neural networks in embryo scoring and making disposition decisions for biopsy and cryopreservation in comparison to grading by highly trained embryologists.
Time-Lapse Imaging Embryology Double-Blind Method Embryo, Mammalian Humans Neural Networks, Computer Retrospective Studies Prospective Studies Deep Learning
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Uncovering tissue-specific binding features from differential deep learning.

Nucleic acids research Mar 18, 2020
Transcription factors (TFs) can bind DNA in a cooperative manner, enabling a mutual increase in occupancy. Through this type of interaction, alternative binding sites can be preferentially bound in different tissues to regulate tissue-specific expres...
Chromatin Immunoprecipitation Protein Isoforms Computational Biology RNA Protein Binding Animals Binding Sites Mice Models, Genetic Poisson Distribution High-Throughput Nucleotide Sequencing Branchial Region Deep Learning Embryo, Mammalian Homeodomain Proteins Myeloid Ecotropic Viral Integration Site 1 Protein Organ Specificity Gene Expression Regulation, Developmental
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Embryo through the lens: from time-lapse cinematography to artificial intelligence.

Fertility and sterility Feb 1, 2020
"Once a new technology rolls over you, if you're not part of the steamroller, you're part of the road." -Stewart Brand.
Animals Male Image Processing, Computer-Assisted Fertilization in Vitro Time Factors Pregnancy Female Humans Artificial Intelligence Time-Lapse Imaging Embryo, Mammalian Microscopy, Video Embryo Culture Techniques
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