AIMC Topic: Induced Pluripotent Stem Cells

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Deep learning for quantifying spatial patterning and formation process of early differentiated human-induced pluripotent stem cells with micropattern images.

Journal of microscopy Jul 12, 2024
Micropatterning is reliable method for quantifying pluripotency of human-induced pluripotent stem cells (hiPSCs) that differentiate to form a spatial pattern of sorted, ordered and nonoverlapped three germ layers on the micropattern. In this study, w...
Humans Cell Differentiation Induced Pluripotent Stem Cells Germ Layers Deep Learning Image Processing, Computer-Assisted
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Two-Dimensional Deep Learning Frameworks for Drug-Induced Cardiotoxicity Detection.

ACS sensors Jun 6, 2024
The identification of drug-induced cardiotoxicity remains a pressing challenge with far-reaching clinical and economic ramifications, often leading to patient harm and resource-intensive drug recalls. Current methodologies, including in vivo and in v...
Humans Neural Networks, Computer Deep Learning Myocytes, Cardiac Induced Pluripotent Stem Cells Fourier Analysis Cardiotoxicity
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Fillable Magnetic Microrobots for Drug Delivery to Cardiac Tissues In Vitro.

Advanced healthcare materials May 29, 2024
Many cardiac diseases, such as arrhythmia or cardiogenic shock, cause irregular beating patterns that must be regulated to prevent disease progression toward heart failure. Treatments can include invasive surgery or high systemic drug dosages, which ...
Humans Drug Delivery Systems Robotics Magnetic Fields Induced Pluripotent Stem Cells Norepinephrine Myocytes, Cardiac
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The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review.

PloS one May 21, 2024
BACKGROUND: Stem cell research, particularly in the domain of induced pluripotent stem cell (iPSC) technology, has shown significant progress. The integration of artificial intelligence (AI), especially machine learning (ML) and deep learning (DL), h...
Machine Learning Regenerative Medicine Induced Pluripotent Stem Cells Humans Artificial Intelligence
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Integrated machine learning and multimodal data fusion for patho-phenotypic feature recognition in iPSC models of dilated cardiomyopathy.

Biological chemistry Apr 24, 2024
Integration of multiple data sources presents a challenge for accurate prediction of molecular patho-phenotypic features in automated analysis of data from human model systems. Here, we applied a machine learning-based data integration to distinguish...
Calcium Myocytes, Cardiac Phenotype Troponin T Induced Pluripotent Stem Cells Cardiomyopathy, Dilated Humans Machine Learning
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Detection of biomagnetic signals from induced pluripotent stem cell-derived cardiomyocytes using deep learning with simulation data.

Scientific reports Mar 27, 2024
The detection of spontaneous magnetic signals can be used for the non-invasive electrophysiological evaluation of induced pluripotent stem cell-derived cardiomyocytes (iPS-CMs). We report that deep learning with a dataset that combines magnetic signa...
Myocytes, Cardiac Induced Pluripotent Stem Cells Drug Evaluation, Preclinical Animals Mice Isoproterenol Deep Learning Cell Differentiation
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Robotic cell processing facility for clinical research of retinal cell therapy.

SLAS technology Oct 29, 2023
The consistent production of high-quality cells in cell therapy highlights the potential of automated manufacturing. Humanoid robots are a useful option for transferring technology to automate human cell cultures. This study evaluated a robotic cell-...
Biomedical Research Humans Robotics Induced Pluripotent Stem Cells Retina Cell Culture Techniques Cell- and Tissue-Based Therapy
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Recognizing the Differentiation Degree of Human Induced Pluripotent Stem Cell-Derived Retinal Pigment Epithelium Cells Using Machine Learning and Deep Learning-Based Approaches.

Cells Jan 4, 2023
Induced pluripotent stem cells (iPSCs) can be differentiated into mesenchymal stem cells (iPSC-MSCs), retinal ganglion cells (iPSC-RGCs), and retinal pigmental epithelium cells (iPSC-RPEs) to meet the demand of regeneration medicine. Since the produc...
Induced Pluripotent Stem Cells Cell Differentiation Retinal Pigment Epithelium Artificial Intelligence Humans Deep Learning
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A deep learning platform to assess drug proarrhythmia risk.

Cell stem cell Dec 22, 2022
Drug safety initiatives have endorsed human iPSC-derived cardiomyocytes (hiPSC-CMs) as an in vitro model for predicting drug-induced cardiac arrhythmia. However, the extent to which human-defined features of in vitro arrhythmia predict actual clinica...
Myocytes, Cardiac Induced Pluripotent Stem Cells Action Potentials Arrhythmias, Cardiac Torsades de Pointes Humans Deep Learning
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Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods.

Computer methods and programs in biomedicine Nov 28, 2022
BACKGROUND AND OBJECTIVE: Human induced pluripotent stem cells (hiPSCs) represent an ideal source for patient specific cell-based regenerative medicine; however, efficiency of hiPSC formation from reprogramming cells is low. We use several deep-learn...
Induced Pluripotent Stem Cells Cell Differentiation Humans Microscopy Time-Lapse Imaging Deep Learning
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