AIMC Topic: Embryonic Development
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Development of deep learning algorithms for predicting blastocyst formation and quality by time-lapse monitoring.
Communications biology
Mar 26, 2021
Approaches to reliably predict the developmental potential of embryos and select suitable embryos for blastocyst culture are needed. The development of time-lapse monitoring (TLM) and artificial intelligence (AI) may help solve this problem. Here, we...
FlyIT: Drosophila Embryogenesis Image Annotation based on Image Tiling and Convolutional Neural Networks.
IEEE/ACM transactions on computational biology and bioinformatics
Feb 3, 2021
With the rise of image-based transcriptomics, spatial gene expression data has become increasingly important for understanding gene regulations from the tissue level down to the cell level. Especially, the gene expression images of Drosophila embryos...
Application of convolutional neural network on early human embryo segmentation during in vitro fertilization.
Journal of cellular and molecular medicine
Jan 24, 2021
Selection of the best quality embryo is the key for a faithful implantation in in vitro fertilization (IVF) practice. However, the process of evaluating numerous images captured by time-lapse imaging (TLI) system is time-consuming and some important ...
Towards the selection of embryos with the greatest implantation potential.
Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology
Jan 12, 2021
Choosing the most suitable embryo remains challenging as the standard approach to select top-quality embryos for transfer rely on static morphological assessment. It is completed after fertilisation, on days 3 and 5 post oocyte retrieval and evaluate...
Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia.
Nature neuroscience
Jan 11, 2021
Retrotransposons can cause somatic genome variation in the human nervous system, which is hypothesized to have relevance to brain development and neuropsychiatric disease. However, the detection of individual somatic mobile element insertions present...
Humans
Female
Adult
Long Interspersed Nucleotide Elements
Adaptor Proteins, Signal Transducing
Machine Learning
Mental Disorders
Pregnancy
Neuroglia
Cation Transport Proteins
HeLa Cells
Retroelements
Mutagenesis, Insertional
Embryonic Development
Neurons
Genome
Schizophrenia
High-Throughput Nucleotide Sequencing
Cytoplasmic movements of the early human embryo: imaging and artificial intelligence to predict blastocyst development.
Reproductive biomedicine online
Dec 24, 2020
RESEARCH QUESTION: Can artificial intelligence and advanced image analysis extract and harness novel information derived from cytoplasmic movements of the early human embryo to predict development to blastocyst?
Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation.
Nature communications
Dec 7, 2020
The invariant development and transparent body of the nematode Caenorhabditis elegans enables complete delineation of cell lineages throughout development. Despite extensive studies of cell division, cell migration and cell fate differentiation, cell...
Introducing a hybrid artificial intelligence method for high-throughput modeling and optimizing plant tissue culture processes: the establishment of a new embryogenesis medium for chrysanthemum, as a case study.
Applied microbiology and biotechnology
Oct 29, 2020
Data-driven models in a combination of optimization algorithms could be beneficial methods for predicting and optimizing in vitro culture processes. This study was aimed at modeling and optimizing a new embryogenesis medium for chrysanthemum. Three i...
3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis.
NPJ systems biology and applications
Oct 20, 2020
During embryogenesis, cells repeatedly divide and dynamically change their positions in three-dimensional (3D) space. A robust and accurate algorithm to acquire the 3D positions of the cells would help to reveal the mechanisms of embryogenesis. To ac...
Mining of variables from embryo morphokinetics, blastocyst's morphology and patient parameters: an approach to predict the live birth in the assisted reproduction service.
JBRA assisted reproduction
Oct 6, 2020
Based on growing demand for assisted reproduction technology, improved predictive models are required to optimize in vitro fertilization/intracytoplasmatic sperm injection strategies, prioritizing single embryo transfer. There are still several obsta...
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