AIMC Topic: Embryoid Bodies

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Deep manifold learning reveals hidden developmental dynamics of a human embryo model.

Science advances Aug 6, 2025
In this study, postimplantation human epiblast and amnion development are modeled using a stem cell-based embryoid system. A dataset of 3697 fluorescent images, along with tissue, cavity, and cell masks, is generated from experimental data. A computa...
Humans Deep Learning Cell Differentiation Models, Biological Embryo, Mammalian Embryonic Development Embryoid Bodies
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Predictive biomarkers for embryotoxicity: a machine learning approach to mitigating multicollinearity in RNA-Seq.

Archives of toxicology Sep 6, 2024
Multicollinearity, characterized by significant co-expression patterns among genes, often occurs in high-throughput expression data, potentially impacting the predictive model's reliability. This study examined multicollinearity among closely related...
Machine Learning Biomarkers Reproducibility of Results Animals RNA-Seq Mice Fluorouracil Teratogens Gene Expression Regulation, Developmental Embryoid Bodies
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Robotic high-throughput biomanufacturing and functional differentiation of human pluripotent stem cells.

Stem cell reports Dec 2, 2021
Efficient translation of human induced pluripotent stem cells (hiPSCs) requires scalable cell manufacturing strategies for optimal self-renewal and functional differentiation. Traditional manual cell culture is variable and labor intensive, posing ch...
Humans Cells, Cultured Single-Cell Analysis RNA-Seq Robotics Cell Differentiation Neurons Hepatocytes Myocytes, Cardiac Automation Zika Virus Infection Reference Standards Cell Culture Techniques Cell Lineage Induced Pluripotent Stem Cells Human Embryonic Stem Cells Embryoid Bodies
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