AIMC Topic: Cells, Cultured

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Recognized trophoblast-like cells conversion from human embryonic stem cells by BMP4 based on convolutional neural network.

Reproductive toxicology (Elmsford, N.Y.) Nov 26, 2020
The use of models of stem cell differentiation to trophoblastic cells provides an effective perspective for understanding the early molecular events in the establishment and maintenance of human pregnancy. In combination with the newly developed deep...
Humans Neural Networks, Computer Cells, Cultured Bone Morphogenetic Protein 4 Trophoblasts Microscopy, Phase-Contrast Human Embryonic Stem Cells Phenotype Cell Differentiation Gene Expression Regulation
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Identification of an epigenetic signature in human induced pluripotent stem cells using a linear machine learning model.

Human cell Oct 12, 2020
The use of human induced pluripotent stem cells (iPSCs), used as an alternative to human embryonic stem cells (ESCs), is a potential solution to challenges, such as immune rejection, and does not involve the ethical issues concerning the use of ESCs ...
Humans Molecular Biology DNA Methylation Induced Pluripotent Stem Cells Chromosomes, Human Machine Learning Embryonic Stem Cells Cells, Cultured Regenerative Medicine Epigenesis, Genetic
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Machine learning identifies abnormal Ca transients in human induced pluripotent stem cell-derived cardiomyocytes.

Scientific reports Oct 12, 2020
Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide an excellent platform for potential clinical and research applications. Identifying abnormal Ca transients is crucial for evaluating cardiomyocyte function that requires l...
Induced Pluripotent Stem Cells Calcium High-Throughput Screening Assays Myocytes, Cardiac Humans Cells, Cultured Sensitivity and Specificity Machine Learning Algorithms
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Probing the characteristics and biofunctional effects of disease-affected cells and drug response via machine learning applications.

Critical reviews in biotechnology Jul 7, 2020
Drug-induced transformations in disease characteristics at the cellular and molecular level offers the opportunity to predict and evaluate the efficacy of pharmaceutical ingredients whilst enabling the optimal design of new and improved drugs with en...
Cells, Cultured Computer Simulation Animals Image Processing, Computer-Assisted Humans Machine Learning Models, Biological Drug Evaluation, Preclinical Cytological Techniques Mice Principal Component Analysis Drug Monitoring
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Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells.

International journal of environmental research and public health Jun 26, 2020
The emergence of new technologies to incorporate and analyze data with high-performance computing has expanded our capability to accurately predict any incident. Supervised Machine learning (ML) can be utilized for a fast and consistent prediction, a...
Radio Waves Humans Algorithms Area Under Curve Supervised Machine Learning Cells, Cultured Animals
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Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation.

Scientific reports May 5, 2020
Restoration of the communication between brain circuitry is a crucial step in the recovery of brain damage induced by traumatic injuries or neurological insults. In this work we present a study of real-time unidirectional communication between a spik...
Synapsins Humans Electrodes, Implanted Optogenetics Neurotransmitter Agents Immunohistochemistry Models, Neurological Cerebral Cortex Action Potentials Electrophysiology Computer Simulation Equipment Design Microscopy, Fluorescence Neurons Animals In Vitro Techniques Light Video Recording Neural Networks, Computer Rats Cells, Cultured Brain
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Convolutional Neural Network Can Recognize Drug Resistance of Single Cancer Cells.

International journal of molecular sciences Apr 30, 2020
It is known that single or isolated tumor cells enter cancer patients' circulatory systems. These circulating tumor cells (CTCs) are thought to be an effective tool for diagnosing cancer malignancy. However, handling CTC samples and evaluating CTC se...
Antineoplastic Agents Deep Learning Neural Networks, Computer Cell Line, Tumor Machine Learning Single-Cell Analysis Cells, Cultured Drug Resistance, Neoplasm Precision Medicine Humans Neoplasms
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Classifying changes in LN-18 glial cell morphology: a supervised machine learning approach to analyzing cell microscopy data via FIJI and WEKA.

Medical & biological engineering & computing Apr 21, 2020
In cell-based research, the process of visually monitoring cells generates large image datasets that need to be evaluated for quantifiable information in order to track the effectiveness of treatments in vitro. With the traditional, end-point assay-b...
Image Processing, Computer-Assisted Microscopy, Confocal Area Under Curve Neuroglia Bayes Theorem Supervised Machine Learning Humans Cells, Cultured
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Machine-learning-based quality control of contractility of cultured human-induced pluripotent stem-cell-derived cardiomyocytes.

Biochemical and biophysical research communications Apr 4, 2020
The precise and early assessment of cardiotoxicity is fundamental to bring forward novel drug candidates to the pharmaceutical market and to avoid their withdrawal from the market. Recent preclinical studies have attempted to use human-induced plurip...
Induced Pluripotent Stem Cells Myocardial Contraction Quality Control Myocytes, Cardiac Cardiotoxicity Cells, Cultured Models, Biological Drug Evaluation, Preclinical Microscopy Humans Machine Learning
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Sulodexide modulates the dialysate effect on the peritoneal mesothelium.

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society Mar 20, 2020
Peritoneal membrane damage during chronic peritoneal dialysis is the main cause of that treatment failure. Preservation of the mesothelial cells (MC) is important for the survival of the peritoneum. Evaluation of dialysates effect on the function of ...
Glycosaminoglycans Gene Expression Regulation Peritoneal Dialysis, Continuous Ambulatory Anticoagulants Humans Peritoneum Dialysis Solutions Cells, Cultured Epithelium Oxidative Stress
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