AIMC Topic: Induced Pluripotent Stem Cells
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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...
Liability, Legal
Drug-Related Side Effects and Adverse Reactions
Toxicity Tests
Microelectrodes
Dose-Response Relationship, Drug
Seizures
Pharmaceutical Preparations
Induced Pluripotent Stem Cells
Machine Learning
Forecasting
Cells, Cultured
Male
Middle Aged
Female
Adult
Humans
Neural Networks, Computer
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 ...
Computer Simulation
Deep Learning
Action Potentials
Sulfonamides
Phenethylamines
Cell Differentiation
Models, Biological
Humans
Algorithms
Induced Pluripotent Stem Cells
Electrophysiologic Techniques, Cardiac
ERG1 Potassium Channel
Myocytes, Cardiac
Gene Expression Regulation
Electrophysiological Phenomena
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...
Prediction Model of Amyotrophic Lateral Sclerosis by Deep Learning with Patient Induced Pluripotent Stem Cells.
Annals of neurology
Feb 25, 2021
In amyotrophic lateral sclerosis (ALS), early diagnosis is essential for both current and potential treatments. To find a supportive approach for the diagnosis, we constructed an artificial intelligence-based prediction model of ALS using induced plu...
Development of Human iPSC-Derived Functional Neuronal Networks on Laser-Fabricated 3D Scaffolds.
ACS applied materials & interfaces
Feb 9, 2021
Neural progenitor cells generated from human induced pluripotent stem cells (hiPSCs) are the forefront of ″brain-on-chip″ investigations. Viable and functional hiPSC-derived neuronal networks are shaping powerful models for evaluating the normal and...
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