AIMC Topic: Oocytes
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Segmentation of mature human oocytes provides interpretable and improved blastocyst outcome predictions by a machine learning model.
Scientific reports
May 8, 2024
Within the medical field of human assisted reproductive technology, a method for interpretable, non-invasive, and objective oocyte evaluation is lacking. To address this clinical gap, a workflow utilizing machine learning techniques has been develope...
Machine learning for predicting elective fertility preservation outcomes.
Scientific reports
May 2, 2024
This retrospective study applied machine-learning models to predict treatment outcomes of women undergoing elective fertility preservation. Two-hundred-fifty women who underwent elective fertility preservation at a tertiary center, 2019-2022 were inc...
An artificial intelligence tool predicts blastocyst development from static images of fresh mature oocytes.
Reproductive biomedicine online
Jan 18, 2024
RESEARCH QUESTION: Can a deep learning image analysis model be developed to assess oocyte quality by predicting blastocyst development from images of denuded mature oocytes?
Manual versus deep learning measurements to evaluate cumulus expansion of bovine oocytes and its relationship with embryo development in vitro.
Computers in biology and medicine
Dec 1, 2023
Cumulus expansion is an important indicator of oocyte maturation and has been suggested to be indicative of greater oocyte developmental capacity. Although multiple methods have been described to assess cumulus expansion, none of them is considered a...
Application of artificial intelligence in gametes and embryos selection.
Human fertility (Cambridge, England)
Sep 14, 2023
Gamete and embryo quality are critical to the success rate of Assisted Reproductive Technology (ART) cycles, but there remains a lack of methods to accurately measure the quality of sperm, oocytes and embryos. The ability of Artificial Intelligence (...
Identifying predictors of Day 5 blastocyst utilization rate using an artificial neural network.
Reproductive biomedicine online
Sep 10, 2023
RESEARCH QUESTION: Can artificial intelligence identify predictors of an increased Day 5 blastocyst utilization rate (D5BUR), which is one of the most informative key performance indicators in an IVF laboratory?
Evaluation of oocyte maturity using artificial intelligence quantification of follicle volume biomarker by three-dimensional ultrasound.
Reproductive biomedicine online
Jul 28, 2022
RESEARCH QUESTION: Can a novel deep learning-based follicle volume biomarker using three-dimensional ultrasound (3D-US) be established to aid in the assessment of oocyte maturity, timing of HCG administration and the individual prediction of ovarian ...
Structure of cytoplasmic ring of nuclear pore complex by integrative cryo-EM and AlphaFold.
Science (New York, N.Y.)
Jun 10, 2022
INTRODUCTION The nuclear pore complex (NPC) is the molecular conduit in the nuclear membrane of eukaryotic cells that regulates import and export of biomolecules between the nucleus and the cytosol, with vertebrate NPCs ~110 to 125 MDa in molecular m...
The Comparison of Fixed and Flexible Progestin Primed Ovarian Stimulation on Mature Oocyte Yield in Women at Risk of Premature Ovarian Insufficiency.
Frontiers in endocrinology
Feb 3, 2022
While gonadotrophin releasing hormone (GnRH) antagonists have been the standard of pituitary suppression during ovarian stimulation for ART, progestin primed ovarian stimulation (PPOS) has emerged as an alternative. Progestins can be started simultan...
Human Oocyte Morphology and Outcomes of Infertility Treatment: a Systematic Review.
Reproductive sciences (Thousand Oaks, Calif.)
Nov 23, 2021
Oocyte morphology assessment is easy to implement in any laboratory with possible quality grading prior to fertilization. At present, comprehensive oocyte morphology scoring is not performed as a routine procedure. However, it may augment chances for...
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