Research graph
References from The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review. Local targets link to admitted publications; unresolved targets remain external evidence.
A direct measurement of the radiation sensitivity of normal mouse bone marrow cells
10.2307/3570892 · 1961 · External reference
Stem cell imaging through convolutional neural networks: current issues and future directions in artificial intelligence technology.
10.7717/peerj.10346 · 2020 · External reference
Adult stem cells and regenerative medicine-a symposium report
10.1111/nyas.14243 · 2020 · External reference
Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors
10.1016/j.cell.2006.07.024 · 2006 · External reference
Mechanistic insights into reprogramming to induced pluripotency
10.1002/jcp.22450 · 2011 · External reference
Induced pluripotent stem cells: the new patient?
10.1038/nrm3448 · 2012 · External reference
Recent Advances in Therapeutic Applications of Induced Pluripotent Stem Cells.
10.1089/cell.2016.0034 · 2017 · External reference
Modelling pathogenesis and treatment of familial dysautonomia using patient-specific iPSCs
10.1038/nature08320 · 2009 · External reference
A novel model of urinary tract differentiation, tissue regeneration, and disease: reprogramming human prostate and bladder cells into induced pluripotent stem cells
10.1016/j.eururo.2013.03.054 · 2013 · External reference
Using induced pluripotent stem cells to investigate cardiac phenotypes in Timothy syndrome
10.1038/nature09855 · 2011 · External reference
Induced pluripotent stem cells as a model for accelerated patient- and disease-specific drug discovery
10.2174/092986710790514480 · 2010 · External reference
In vivo liver regeneration potential of human induced pluripotent stem cells from diverse origins
2011 · External reference
Grafted human-induced pluripotent stem-cell-derived neurospheres promote motor functional recovery after spinal cord injury in mice
10.1073/pnas.1108077108 · 2011 · External reference
Generation of engraftable hematopoietic stem cells from induced pluripotent stem cells by way of teratoma formation
10.1038/mt.2013.71 · 2013 · External reference
Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine
10.1016/j.transci.2018.05.004 · 2018 · External reference
Artificial intelligence in medicine.
10.1016/j.metabol.2017.01.011 · 2017 · External reference
A paradigm for high-throughput screening of cell-selective surfaces coupling orthogonal gradients and machine learning-based cell recognition
2023 · External reference
Unresolved reference
2019 · External reference
10.1007/978-981-16-4284-5
10.1007/978-981-16-4284-5 · 2022 · External reference
Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions
10.3390/computers12050091 · 2023 · External reference
10.1007/978-3-642-24797-2_2
10.1007/978-3-642-24797-2_2 · 2012 · External reference
10.1201/9781420049176
10.1201/9781420049176 · 1999 · External reference
Introduction to Machine Learning, Neural Networks, and Deep Learning
2020 · External reference
Exploring the Current Trends of Artificial Intelligence in Stem Cell TherapyA Systematic Review.
2021 · External reference
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
10.1016/j.ijsu.2021.105906 · 2021 · External reference
DOME: recommendations for supervised machine learning validation in biology
10.1038/s41592-021-01205-4 · 2021 · External reference
3D in vivo Magnetic Particle Imaging of Human Stem Cell-Derived Islet Organoid Transplantation Using a Machine Learning Algorithm.
10.3389/fcell.2021.704483 · 2021 · External reference
Monitoring the maturation of the sarcomere network: a super-resolution microscopy-based approach
10.1007/s00018-022-04196-3 · 2022 · External reference
High-content phenotyping of Parkinson’s disease patient stem cell-derived midbrain dopaminergic neurons using machine learning classification
10.1016/j.stemcr.2022.09.001 · 2022 · External reference
Prediction of Human Induced Pluripotent Stem Cell Cardiac Differentiation Outcome by Multifactorial Process Modeling.
10.3389/fbioe.2020.00851 · 2020 · External reference
Application of Support Vector Machine to Recognize Trans-differentiated Neural Progenitor Cells for Bright-Field Microscopy
2015 · External reference
Unresolved reference
2020 · External reference
Deep Learning and Computer Vision Strategies for Automated Gene Editing with a Single-Cell Electroporation Platform.
10.1177/2472630320982320 · 2021 · External reference
Multiplexed high-throughput localized electroporation workflow with deep learning-based analysis for cell engineering
10.1126/sciadv.abn7637 · 2022 · External reference
A single-cell Raman-based platform to identify developmental stages of human pluripotent stem cell-derived neurons
10.1073/pnas.2001906117 · 2020 · External reference
Recognizing the Differentiation Degree of Human Induced Pluripotent Stem Cell-Derived Retinal Pigment Epithelium Cells Using Machine Learning and Deep Learning-Based Approaches.
2023 · External reference
Image-based deep learning reveals the responses of human motor neurons to stress and VCP-related ALS.
10.1111/nan.12770 · 2022 · External reference
Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells.
10.1016/j.stemcr.2018.04.007 · 2018 · External reference
Deep neural net tracking of human pluripotent stem cells reveals intrinsic behaviors directing morphogenesis
10.1016/j.stemcr.2021.04.008 · 2021 · External reference
Machine Learning Techniques to Classify Healthy and Diseased Cardiomyocytes by Contractility Profile.
10.1021/acsbiomaterials.1c00418 · 2021 · External reference
Machine learning-assisted high-content analysis of pluripotent stem cell-derived embryos in vitro
10.1016/j.stemcr.2021.03.018 · 2021 · External reference
A novel machine learning based approach for iPS progenitor cell identification
10.1371/journal.pcbi.1007351 · 2019 · External reference
Histogram-based classification of iPSC colony images using machine learning methods
10.1109/smc.2014.6974321 · 2014 · External reference
Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images
10.1155/2016/3091039 · 2016 · External reference
Label-Free Imaging to Track Reprogramming of Human Somatic Cells.
10.1089/genbio.2022.0001 · 2022 · External reference
Computational image analysis of colony and nuclear morphology to evaluate human induced pluripotent stem cells
10.1038/srep06996 · 2014 · External reference
A Machine Learning Assisted, Label-freeNon-invasive Approach for Somatic Reprogramming in Induced Pluripotent Stem Cell Colony Formation Detection and Prediction.
10.1038/s41598-017-13680-x · 2017 · External reference
Reproducible production and image-based quality evaluation of retinal pigment epithelium sheets from human induced pluripotent stem cells
10.1038/s41598-020-70979-y · 2020 · External reference
Machine-learning-based quality control of contractility of cultured human-induced pluripotent stem-cell-derived cardiomyocytes
10.1016/j.bbrc.2020.03.141 · 2020 · External reference
Deep learning-based quality control of cultured human-induced pluripotent stem cell-derived cardiomyocytes.
10.1016/j.jphs.2019.04.008 · 2019 · External reference
Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells
10.23876/j.krcp.22.017 · 2023 · External reference
Automated human induced pluripotent stem cell colony segmentation for use in cell culture automation applications
10.1016/j.slast.2023.07.004 · 2023 · External reference
High-Content Screening and Analysis of Stem Cell-Derived Neural Interfaces Using a Combinatorial Nanotechnology and Machine Learning Approach.
2022 · External reference
Automated, non-invasive characterization of stem cell-derived cardiomyocytes from phase-contrast microscopy
2014 · External reference
Prediction of Stem Cell State Using Cell Image-Based Deep Learning.
10.1002/aisy.202300017 · 2023 · External reference
Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques
10.1016/j.compbiomed.2018.01.005 · 2018 · External reference
Mining Key Regulators of Cell Reprogramming and Prediction Research Based on Deep Learning Neural Networks.
10.1109/access.2020.2970442 · 2020 · External reference
Deep Learning-Assisted Automated Single Cell Electroporation Platform for Effective Genetic Manipulation of Hard-to-Transfect Cells.
10.1002/smll.202107795 · 2022 · External reference
Cytoskeletal tension regulates mesodermal spatial organization and subsequent vascular fate
10.1073/pnas.1808021115 · 2018 · External reference
DeepNEU: Artificially Induced Stem Cell (aiPSC) and Differentiated Skeletal Muscle Cell (aiSkMC) Simulations of Infantile Onset POMPE Disease (IOPD) for Potential Biomarker Identification and Drug Discovery.
10.3389/fcell.2019.00325 · 2019 · External reference
Viral pandemic preparedness: A pluripotent stem cell-based machine-learning platform for simulating SARS-CoV-2 infection to enable drug discovery and repurposing
10.1002/sctm.20-0181 · 2021 · External reference
Conditional Generative Adversarial Networks to Model iPSC-Derived Cancer Stem Cells
10.20965/jaciii.2020.p0134 · 2020 · External reference
Label-free imaging of 3D pluripotent stem cell differentiation dynamics on chip
10.1016/j.crmeth.2023.100523 · 2023 · External reference
Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods
10.1016/j.cmpb.2022.107264 · 2023 · External reference
Method for evaluation of human induced pluripotent stem cell quality using image analysis based on the biological morphology of cells
2017 · External reference
Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status
10.1016/j.compbiomed.2020.104172 · 2021 · External reference
Evaluation of CRISPR/Cas9 exon-skipping vector for choroideremia using human induced pluripotent stem cell-derived RPE
10.1002/jgm.3464 · 2023 · External reference
Automated adherent cell elimination by a high-speed laser mediated by a light-responsive polymer
10.1038/s42003-018-0222-4 · 2018 · External reference
Human induced pluripotent stem cell region recognition in microscopy images using Convolutional Neural Networks
2017 · External reference
DeepNEU: cellular reprogramming comes of age—a machine learning platform with application to rare diseases research
10.1186/s13023-018-0983-3 · 2019 · External reference
Multiomics and machine-learning identify novel transcriptional and mutational signatures in amyotrophic lateral sclerosis
10.1093/brain/awad075 · 2023 · External reference
Variation of DNA methylation on the IRX1/2 genes is responsible for the neural differentiation propensity in human induced pluripotent stem cells
10.1016/j.reth.2022.11.007 · 2022 · External reference
Annotating functional effects of non-coding variants in neuropsychiatric cell types by deep transfer learning
10.1371/journal.pcbi.1010011 · 2022 · External reference
Predicting the functional states of human iPSC-derived neurons with single-cell RNA-seq and electrophysiology
10.1038/mp.2016.158 · 2016 · External reference
Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease
10.1126/science.abd0724 · 2021 · External reference
Identification of an epigenetic signature in human induced pluripotent stem cells using a linear machine learning model
10.1007/s13577-020-00446-3 · 2021 · External reference
Single-cell RNA-seq of human induced pluripotent stem cells reveals cellular heterogeneity and cell state transitions between subpopulations
10.1101/gr.223925.117 · 2018 · External reference
CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells
2017 · External reference
Harshening stem cell research and precision medicine: The states of human pluripotent cells stem cell repository diversity, and racial and sex differences in transcriptomes.
10.3389/fcell.2022.1071243 · 2022 · External reference
Computational profiling of hiPSC-derived heart organoids reveals chamber defects associated with NKX2-5 deficiency.
10.1038/s42003-022-03346-4 · 2022 · External reference
Separation of HCM and LQT Cardiac Diseases with Machine Learning of Ca2+ Transient Profiles.
2019 · External reference
Deriving waveform parameters from calcium transients in human iPSC-derived cardiomyocytes to predict cardiac activity with machine learning
10.1016/j.stemcr.2022.01.009 · 2022 · External reference
Machine learning identifies abnormal Ca(2+) transients in human induced pluripotent stem cell-derived cardiomyocytes
10.1038/s41598-020-73801-x · 2020 · External reference
Characterizing arrhythmia using machine learning analysis of Ca(2+) cycling in human cardiomyocytes
10.1016/j.stemcr.2022.06.005 · 2022 · External reference
Detection of genetic cardiac diseases by Ca2+ transient profiles using machine learning methods
10.1038/s41598-018-27695-5 · 2018 · External reference
Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy
10.1172/jci131187 · 2020 · External reference
A deep learning algorithm to translate and classify cardiac electrophysiology.
10.7554/elife.68335 · 2021 · External reference
Information theory characteristics improve the prediction of lithium response in bipolar disorder patients using a support vector machine classifier
10.1111/bdi.13282 · 2023 · External reference
Unresolved reference
2018 · External reference
Prediction Model of Amyotrophic Lateral Sclerosis by Deep Learning with Patient Induced Pluripotent Stem Cells
10.1002/ana.26047 · 2021 · External reference
On computational classification of genetic cardiac diseases applying iPSC cardiomyocytes.
10.1016/j.cmpb.2021.106367 · 2021 · External reference
A method to measure data complexity of a complicated medical data set
10.1002/ima.22760 · 2022 · External reference
Integrating nonlinear analysis and machine learning for human induced pluripotent stem cell-based drug cardiotoxicity testing
10.1002/term.3325 · 2022 · External reference
Machine learning-assisted neurotoxicity prediction in human midbrain organoids
10.1016/j.parkreldis.2020.05.011 · 2020 · External reference
Supervised Machine Learning for Classification of the Electrophysiological Effects of Chronotropic Drugs on Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes
10.1371/journal.pone.0144572 · 2015 · External reference
Machine learning plus optical flow: a simple and sensitive method to detect cardioactive drugs
10.1038/srep11817 · 2015 · External reference
Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes.
10.7554/elife.68714 · 2021 · External reference
Prediction of inotropic effect based on calcium transients in human iPSC-derived cardiomyocytes and machine learning
10.1016/j.taap.2022.116342 · 2023 · External reference
Prediction of drug-induced nephrotoxicity and injury mechanisms with human induced pluripotent stem cell-derived cells and machine learning methods
10.1038/srep12337 · 2015 · External reference
Optimization of the TeraTox Assay for Preclinical Teratogenicity Assessment
10.1093/toxsci/kfac046 · 2022 · External reference
Quantifying drug-induced structural toxicity in hepatocytes and cardiomyocytes derived from hiPSCs using a deep learning method
10.1016/j.vascn.2020.106895 · 2020 · External reference
Analysis of Drug Effects on iPSC Cardiomyocytes with Machine Learning
10.1007/s10439-020-02521-0 · 2021 · External reference
Raster plots machine learning to predict the seizure liability of drugs and to identify drugs.
10.1038/s41598-022-05697-8 · 2022 · External reference
Prediction of Compound Bioactivities Using Heat-Diffusion Equation.
10.1016/j.patter.2020.100140 · 2020 · External reference
Machine learning discriminates P2X7-mediated intracellular calcium sparks in human-induced pluripotent stem cell-derived neural stem cells
10.1038/s41598-023-39846-4 · 2023 · External reference
Assessing iPSC reprogramming methods for their suitability in translational medicine
10.1002/jcb.24183 · 2012 · External reference
Variable Outcomes in Neural Differentiation of Human PSCs Arise from Intrinsic Differences in Developmental Signaling Pathways.
10.1016/j.celrep.2020.107732 · 2020 · External reference
Differentiation-defective phenotypes revealed by large-scale analyses of human pluripotent stem cells
10.1073/pnas.1319061110 · 2013 · External reference
Artificial Intelligence in Regenerative MedicineApplications and Implications.
2023 · External reference
Concise review: Genomic stability of human induced pluripotent stem cells
10.1002/stem.705 · 2012 · External reference
Addressing variability in iPSC-derived models of human disease: guidelines to promote reproducibility
10.1242/dmm.042317 · 2020 · External reference
Cell Culture Process Scale-Up Challenges for Commercial-Scale Manufacturing of Allogeneic Pluripotent Stem Cell Products.
2022 · External reference
Robotic high-throughput biomanufacturing and functional differentiation of human pluripotent stem cells
10.1016/j.stemcr.2021.11.004 · 2021 · External reference
Predicting the functional states of human iPSC-derived neurons with single-cell RNA-seq and electrophysiology
10.1038/mp.2016.158 · 2016 · External reference
Induced Pluripotent Stem Cell-Based Drug Screening by Use of Artificial Intelligence.
10.3390/ph15050562 · 2022 · External reference
Machine learning discriminates P2X7-mediated intracellular calcium sparks in human-induced pluripotent stem cell-derived neural stem cells
10.1038/s41598-023-39846-4 · 2023 · External reference
Anti-senescent drug screening by deep learning-based morphology senescence scoring.
10.1038/s41467-020-20213-0 · 2021 · External reference
SSGraphCPI: A novel model for predicting compound-protein interactions based on deep learning
10.3390/ijms23073780 · 2022 · External reference
Quantifying drug-induced structural toxicity in hepatocytes and cardiomyocytes derived from hiPSCs using a deep learning method
10.1016/j.vascn.2020.106895 · 2020 · External reference
Unresolved reference
2018 · External reference
Avoiding a replication crisis in deep-learning-based bioimage analysis.
10.1038/s41592-021-01284-3 · 2021 · External reference
Setting the standards for machine learning in biology
10.1038/s41580-019-0176-5 · 2019 · External reference
Robustness and reproducibility for AI learning in biomedical sciences: RENOIR.
10.1038/s41598-024-51381-4 · 2024 · External reference