AIMC Topic: Induced Pluripotent Stem Cells
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Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status.
Computers in biology and medicine
Dec 11, 2020
Human induced pluripotent stem cells (hiPSCs) are capable of differentiating into a variety of human tissue cells. They offer new opportunities for personalized medicine and drug screening. This requires large quantities of high quality hiPSCs, obtai...
Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease.
Science (New York, N.Y.)
Dec 10, 2020
Mapping the gene-regulatory networks dysregulated in human disease would allow the design of network-correcting therapies that treat the core disease mechanism. However, small molecules are traditionally screened for their effects on one to several o...
Humans
Machine Learning
Aortic Valve Disease
Small Molecule Libraries
Induced Pluripotent Stem Cells
Receptor, Notch1
Haploinsufficiency
Mice, Inbred C57BL
Calcinosis
RNA-Seq
Drug Evaluation, Preclinical
Algorithms
Aortic Valve Stenosis
Gene Regulatory Networks
Thiazoles
Animals
Mice
Gene Expression Regulation
Drug Discovery
Aortic Valve
Disease Models, Animal
Nitriles
Neuronal differentiation strategies: insights from single-cell sequencing and machine learning.
Development (Cambridge, England)
Dec 8, 2020
Neuronal replacement therapies rely on the differentiation of specific cell types from embryonic or induced pluripotent stem cells, or on the direct reprogramming of differentiated adult cells via the expression of transcription factors or signaling...
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 ...
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...
Machine learning-assisted neurotoxicity prediction in human midbrain organoids.
Parkinsonism & related disorders
May 8, 2020
INTRODUCTION: Brain organoids are highly complex multi-cellular tissue proxies, which have recently risen as novel tools to study neurodegenerative diseases such as Parkinson's disease (PD). However, with increasing complexity of the system, usage of...
Analysis of Drug Effects on iPSC Cardiomyocytes with Machine Learning.
Annals of biomedical engineering
May 4, 2020
Patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) offer an attractive experimental platform to investigate cardiac diseases and therapeutic outcome. In this study, iPSC-CMs were utilized to study their calcium transient...
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...
A novel machine learning based approach for iPS progenitor cell identification.
PLoS computational biology
Dec 26, 2019
Identification of induced pluripotent stem (iPS) progenitor cells, the iPS forming cells in early stage of reprogramming, could provide valuable information for studying the origin and underlying mechanism of iPS cells. However, it is very difficult ...
A high-throughput screening and computation platform for identifying synthetic promoters with enhanced cell-state specificity (SPECS).
Nature communications
Jun 28, 2019
Cell state-specific promoters constitute essential tools for basic research and biotechnology because they activate gene expression only under certain biological conditions. Synthetic Promoters with Enhanced Cell-State Specificity (SPECS) can be supe...
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