AIMC Topic: Induced Pluripotent Stem Cells
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Multiplexed high-throughput localized electroporation workflow with deep learning-based analysis for cell engineering.
Science advances
Jul 22, 2022
Manipulation of cells for applications such as biomanufacturing and cell-based therapeutics involves introducing biomolecular cargoes into cells. However, successful delivery is a function of multiple experimental factors requiring several rounds of ...
Integrating nonlinear analysis and machine learning for human induced pluripotent stem cell-based drug cardiotoxicity testing.
Journal of tissue engineering and regenerative medicine
May 27, 2022
Utilizing recent advances in human induced pluripotent stem cell (hiPSC) technology, nonlinear analysis and machine learning we can create novel tools to evaluate drug-induced cardiotoxicity on human cardiomyocytes. With cardiovascular disease remain...
Deep Learning-Assisted Automated Single Cell Electroporation Platform for Effective Genetic Manipulation of Hard-to-Transfect Cells.
Small (Weinheim an der Bergstrasse, Germany)
Mar 21, 2022
Genome engineering of cells using CRISPR/Cas systems has opened new avenues for pharmacological screening and investigating the molecular mechanisms of disease. A critical step in many such studies is the intracellular delivery of the gene editing ma...
Raster plots machine learning to predict the seizure liability of drugs and to identify drugs.
Scientific reports
Feb 10, 2022
In vitro microelectrode array (MEA) assessment using human induced pluripotent stem cell (iPSC)-derived neurons holds promise as a method of seizure and toxicity evaluation. However, there are still issues surrounding the analysis methods used to pre...
Humans
Neural Networks, Computer
Machine Learning
Forecasting
Male
Middle Aged
Dose-Response Relationship, Drug
Seizures
Cells, Cultured
Female
Adult
Toxicity Tests
Microelectrodes
Induced Pluripotent Stem Cells
Pharmaceutical Preparations
Liability, Legal
Drug-Related Side Effects and Adverse Reactions
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...
Generation of Interconnected Neural Clusters in Multiscale Scaffolds from Human-Induced Pluripotent Stem Cells.
ACS applied materials & interfaces
Nov 17, 2021
The development of in vitro neural networks depends to a large extent on the scaffold properties, including the scaffold stiffness, porosity, and dimensionality. Herein, we developed a method to generate interconnected neural clusters in a multiscale...
Image-based deep learning reveals the responses of human motor neurons to stress and VCP-related ALS.
Neuropathology and applied neurobiology
Oct 18, 2021
AIMS: Although morphological attributes of cells and their substructures are recognised readouts of physiological or pathophysiological states, these have been relatively understudied in amyotrophic lateral sclerosis (ALS) research.
Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes.
eLife
Aug 2, 2021
Drug-induced cardiotoxicity and hepatotoxicity are major causes of drug attrition. To decrease late-stage drug attrition, pharmaceutical and biotechnology industries need to establish biologically relevant models that use phenotypic screening to dete...
A deep learning algorithm to translate and classify cardiac electrophysiology.
eLife
Jul 2, 2021
The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critical in vitro advance in the study of patient-specific physiology, pathophysiology, and pharmacology. We designed a new deep learning multitask network ...
Humans
ERG1 Potassium Channel
Algorithms
Electrophysiological Phenomena
Computer Simulation
Induced Pluripotent Stem Cells
Deep Learning
Electrophysiologic Techniques, Cardiac
Sulfonamides
Phenethylamines
Action Potentials
Myocytes, Cardiac
Cell Differentiation
Gene Expression Regulation
Models, Biological
Machine learning-assisted high-content analysis of pluripotent stem cell-derived embryos in vitro.
Stem cell reports
Apr 22, 2021
Stem cell-based embryo models by cultured pluripotent and extra-embryonic lineage stem cells are novel platforms to model early postimplantation development. We showed that induced pluripotent stem cells (iPSCs) could form ITS (iPSCs and trophectoder...
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