AIMC Topic: Embryonic Development
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Towards predictive neural network dynamical theory: Comment on "The growth of cognition: Free energy minimization and the embryogenesis of cortical computation" by Wright and Bourke.
Physics of life reviews
Sep 3, 2020
Investigating the gene expression profiles of cells in seven embryonic stages with machine learning algorithms.
Genomics
Feb 8, 2020
The development of embryonic cells involves several continuous stages, and some genes are related to embryogenesis. To date, few studies have systematically investigated changes in gene expression profiles during mammalian embryogenesis. In this stud...
Towards the automation of early-stage human embryo development detection.
Biomedical engineering online
Dec 12, 2019
BACKGROUND: Infertility and subfertility affect a significant proportion of humanity. Assisted reproductive technology has been proven capable of alleviating infertility issues. In vitro fertilisation is one such option whose success is highly depend...
Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology.
Lab on a chip
Nov 22, 2019
Embryo assessment and selection is a critical step in an in vitro fertilization (IVF) procedure. Current embryo assessment approaches such as manual microscopy analysis done by embryologists or semi-automated time-lapse imaging systems are highly sub...
Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018.
Journal of assisted reproduction and genetics
Jan 28, 2019
Sixteen artificial intelligence (AI) and machine learning (ML) approaches were reported at the 2018 annual congresses of the American Society for Reproductive Biology (9) and European Society for Human Reproduction and Embryology (7). Nearly every as...
Deep learning image recognition enables efficient genome editing in zebrafish by automated injections.
PloS one
Jan 7, 2019
One of the most popular techniques in zebrafish research is microinjection. This is a rapid and efficient way to genetically manipulate early developing embryos, and to introduce microbes, chemical compounds, nanoparticles or tracers at larval stages...
Acquisition and reconstruction of 4D surfaces of axolotl embryos with the flipping stage robotic microscope.
Bio Systems
Oct 25, 2018
We have designed and constructed a Flipping Stage for a light microscope that can view the whole exterior surface of a 2 mm diameter developing axolotl salamander embryo. It works by rapidly inverting the bottom-heavy embryo, imaging it as it rights ...
McEnhancer: predicting gene expression via semi-supervised assignment of enhancers to target genes.
Genome biology
Oct 26, 2017
Transcriptional enhancers regulate spatio-temporal gene expression. While genomic assays can identify putative enhancers en masse, assigning target genes is a complex challenge. We devised a machine learning approach, McEnhancer, which links target g...
Influence of post-insemination nutrition on embryonic development in beef heifers.
Theriogenology
Nov 24, 2016
Previous studies have demonstrated that a decrease in nutrition immediately following AI reduces pregnancy success in beef heifers. The objective of this experiment was to determine if nutrient restriction following AI impacted early embryonic develo...
The potential of AOP networks for reproductive and developmental toxicity assay development.
Reproductive toxicology (Elmsford, N.Y.)
Apr 15, 2015
Historically, the prediction of reproductive and developmental toxicity has largely relied on the use of animals. The adverse outcome pathway (AOP) framework forms a basis for the development of new non-animal test methods. It also provides biologica...
Fetal Development
Gene Expression Regulation, Developmental
Toxicity Tests
Animal Testing Alternatives
Pregnancy
Systems Integration
Female
Animals
Models, Biological
Humans
Reproduction
Knowledge Bases
Risk Assessment
Computer Simulation
Embryonic Development
Gene Regulatory Networks
Signal Transduction
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