AIMC Topic: Embryo, Mammalian
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The ability to predict pregnancy loss in cattle with ELISAs that detect pregnancy associated glycoproteins is antibody dependent.
Theriogenology
Dec 14, 2017
The concentration of circulating pregnancy associated glycoproteins (PAGs) early in pregnancy may serve as markers to predict late embryonic mortality or fetal mortality in cattle. In this study, pregnancies were established in dairy cows, by either ...
The role of neuron-glia interactions in the emergence of ultra-slow oscillations.
Biological cybernetics
Nov 11, 2017
Ultra-slow cortical oscillatory activity of 1-100 mHz has been recorded in human by electroencephalography and in dissociated cultures of cortical rat neurons, but the underlying mechanisms remain to be elucidated. This study presents a computational...
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...
[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...
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...
A brief history of artificial intelligence embryo selection: from black-box to glass-box.
Human reproduction (Oxford, England)
Feb 1, 2024
With the exponential growth of computing power and accumulation of embryo image data in recent years, artificial intelligence (AI) is starting to be utilized in embryo selection in IVF. Amongst different AI technologies, machine learning (ML) has the...
Unpacking the artificial intelligence toolbox for embryo ploidy prediction.
Human reproduction (Oxford, England)
Dec 4, 2023
Impact of oocyte donor age and breed on embryo production in cattle, and relationship of dairy and beef embryo recipients on pregnancy and the subsequent performance of offspring: A review.
Reproduction, fertility, and development
Dec 1, 2021
Genomic selection combined with in vitro embryo production (IVEP) with oocytes from heifer calves provides a powerful technology platform to reduce generation interval and significantly increase the rate of genetic gain in cattle. The ability to obta...
XGSEA: CROSS-species gene set enrichment analysis via domain adaptation.
Briefings in bioinformatics
Sep 2, 2021
MOTIVATION: Gene set enrichment analysis (GSEA) has been widely used to identify gene sets with statistically significant difference between cases and controls against a large gene set. GSEA needs both phenotype labels and expression of genes. Howeve...
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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