AIMC Topic: Induced Pluripotent Stem Cells

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DeepNEU: cellular reprogramming comes of age - a machine learning platform with application to rare diseases research.

Orphanet journal of rare diseases Jan 10, 2019
BACKGROUND: Conversion of human somatic cells into induced pluripotent stem cells (iPSCs) is often an inefficient, time consuming and expensive process. Also, the tendency of iPSCs to revert to their original somatic cell type over time continues to ...
Machine Learning Cellular Reprogramming Fibroblasts Humans Rare Diseases Induced Pluripotent Stem Cells Rett Syndrome Cell Differentiation Neurons Myocytes, Cardiac
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Detection of genetic cardiac diseases by Ca transient profiles using machine learning methods.

Scientific reports Jun 19, 2018
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have revolutionized cardiovascular research. Abnormalities in Ca transients have been evident in many cardiac disease models. We have shown earlier that, by exploiting computation...
Calcium Signaling Ryanodine Receptor Calcium Release Channel Machine Learning Calcium Humans Models, Theoretical Myocytes, Cardiac Mutation Induced Pluripotent Stem Cells
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Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells.

Stem cell reports May 10, 2018
Deep learning technology is rapidly advancing and is now used to solve complex problems. Here, we used deep learning in convolutional neural networks to establish an automated method to identify endothelial cells derived from induced pluripotent stem...
Machine Learning Animals Deep Learning Artificial Intelligence Endothelial Cells Mice Induced Pluripotent Stem Cells Cell Differentiation
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Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques.

Computers in biology and medicine Jan 31, 2018
The objectives of this study are to assess various automated texture features obtained from the segmented colony regions of induced pluripotent stem cells (iPSCs) and confirm their potential for characterizing the colonies using different machine lea...
Image Processing, Computer-Assisted Mice Support Vector Machine Animals Mouse Embryonic Stem Cells Induced Pluripotent Stem Cells
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Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells.

PloS one Dec 27, 2017
Pluripotent stem cells can potentially be used in clinical applications as a model for studying disease progress. This tracking of disease-causing events in cells requires constant assessment of the quality of stem cells. Existing approaches are inad...
Support Vector Machine Automation Induced Pluripotent Stem Cells Neural Networks, Computer Animals Mice
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A Machine Learning Assisted, Label-free, Non-invasive Approach for Somatic Reprogramming in Induced Pluripotent Stem Cell Colony Formation Detection and Prediction.

Scientific reports Oct 18, 2017
During cellular reprogramming, the mesenchymal-to-epithelial transition is accompanied by changes in morphology, which occur prior to iPSC colony formation. The current approach for detecting morphological changes associated with reprogramming purely...
Induced Pluripotent Stem Cells Cellular Reprogramming Techniques Humans Machine Learning Cells, Cultured Animals Mice Cellular Reprogramming
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Kinase inhibitor screening using artificial neural networks and engineered cardiac biowires.

Scientific reports Sep 18, 2017
Kinase inhibitors are often used as cancer targeting agents for their ability to prevent the activation of cell growth and proliferation signals. Cardiotoxic effects have been identified for some marketed kinase inhibitors that were not detected duri...
Tissue Engineering Protein Kinase Inhibitors Induced Pluripotent Stem Cells Myocardium Humans Myocytes, Cardiac Neural Networks, Computer Cell Survival
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Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images.

Computational and mathematical methods in medicine Jul 14, 2016
The focus of this research is on automated identification of the quality of human induced pluripotent stem cell (iPSC) colony images. iPS cell technology is a contemporary method by which the patient's cells are reprogrammed back to stem cells and ar...
Induced Pluripotent Stem Cells False Positive Reactions Cell Culture Techniques Reproducibility of Results Support Vector Machine Quality Control Humans Models, Statistical Fibroblasts Regenerative Medicine Machine Learning Bayes Theorem Pattern Recognition, Automated Algorithms Least-Squares Analysis
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Developing an automated robotic factory for novel stem cell therapy production.

Regenerative medicine May 11, 2016
Biosensing Techniques Robotics Bioreactors Humans Quality Control Bioengineering Automation, Laboratory Cell Culture Techniques Induced Pluripotent Stem Cells Stem Cell Transplantation Tissue Banks
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Automated, high-throughput derivation, characterization and differentiation of induced pluripotent stem cells.

Nature methods Aug 3, 2015
Induced pluripotent stem cells (iPSCs) are an essential tool for modeling how causal genetic variants impact cellular function in disease, as well as an emerging source of tissue for regenerative medicine. The preparation of somatic cells, their repr...
Equipment Design Equipment Failure Analysis Fibroblasts Humans Robotics Cell Differentiation Cells, Cultured Induced Pluripotent Stem Cells Batch Cell Culture Techniques Cell Separation Microfluidic Analytical Techniques
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