AIMC Topic: Stem Cells

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Generative Adversarial Networks for Morphological-Temporal Classification of Stem Cell Images.

Sensors (Basel, Switzerland) Dec 29, 2021
Frequently, neural network training involving biological images suffers from a lack of data, resulting in inefficient network learning. This issue stems from limitations in terms of time, resources, and difficulty in cellular experimentation and data...
Neural Networks, Computer Image Processing, Computer-Assisted Stem Cells
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Stem-cell based, machine learning approach for optimizing natural killer cell-based personalized immunotherapy for high-grade ovarian cancer.

The FEBS journal Oct 8, 2021
Advanced high-grade serous ovarian cancer continues to be a therapeutic challenge for those affected using the current therapeutic interventions. There is an increasing interest in personalized cancer immunotherapy using activated natural killer (NK)...
Tumor Microenvironment Immunotherapy Ovarian Neoplasms Machine Learning Female Stem Cells Humans Killer Cells, Natural
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Label-free quality control and identification of human keratinocyte stem cells by deep learning-based automated cell tracking.

Stem cells (Dayton, Ohio) Mar 30, 2021
Stem cell-based products have clinical and industrial applications. Thus, there is a need to develop quality control methods to standardize stem cell manufacturing. Here, we report a deep learning-based automated cell tracking (DeepACT) technology fo...
Keratinocytes Quality Control Epidermal Cells Cell Tracking Deep Learning Humans Stem Cells Cells, Cultured Cell Differentiation
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Identification of stem cells from large cell populations with topological scoring.

Molecular omics Sep 14, 2020
Machine learning and topological analysis methods are becoming increasingly used on various large-scale omics datasets. Modern high dimensional flow cytometry data sets share many features with other omics datasets like genomics and proteomics. For e...
Humans Machine Learning Stem Cells Flow Cytometry Hematopoietic Stem Cells Algorithms Single-Cell Analysis
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Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests.

IEEE journal of biomedical and health informatics Oct 1, 2019
Single-cell RNA-Sequencing (scRNA-Seq), an advanced sequencing technique, enables biomedical researchers to characterize cell-specific gene expression profiles. Although studies have adapted machine learning algorithms to cluster different cell popul...
Stem Cells Cluster Analysis Decision Trees Animals Single-Cell Analysis Gene Regulatory Networks Mice RNA-Seq Machine Learning Algorithms Cells, Cultured
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Sequential Saliency Guided Deep Neural Network for Joint Mitosis Identification and Localization in Time-Lapse Phase Contrast Microscopy Images.

IEEE journal of biomedical and health informatics Sep 23, 2019
The analysis of cell mitotic behavior plays important role in many biomedical research and medical diagnostic applications. To improve the accuracy of mitosis detection in automated analysis systems, this paper proposes the sequential saliency guided...
Microscopy, Phase-Contrast Time-Lapse Imaging Deep Learning Neural Networks, Computer Stem Cells Image Processing, Computer-Assisted Cells, Cultured Mitosis Animals Mice
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OSCI: standardized stem cell ontology representation and use cases for stem cell investigation.

BMC bioinformatics Apr 25, 2019
BACKGROUND: Stem cells and stem cell lines are widely used in biomedical research. The Cell Ontology (CL) and Cell Line Ontology (CLO) are two community-based OBO Foundry ontologies in the domains of in vivo cells and in vitro cell line cells, respec...
Biomedical Research Animals Humans Stem Cells Biological Ontologies
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Machine Learning Approach to Predicting Stem Cell Donor Availability.

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation Jul 31, 2018
The success of unrelated donor stem cell transplants depends on not only finding genetically matched donors, but also donor availability. On average 50% of potential donors in the National Marrow Donor Program database are unavailable for a variety o...
Tissue Donors Stem Cells Humans Machine Learning
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Fuzzy Expert System based on a Novel Hybrid Stem Cell (HSC) Algorithm for Classification of Micro Array Data.

Journal of medical systems Feb 21, 2018
In the growing scenario, microarray data is extensively used since it provides a more comprehensive understanding of genetic variants among diseases. As the gene expression samples have high dimensionality it becomes tedious to analyze the samples ma...
Oligonucleotide Array Sequence Analysis Stem Cells Expert Systems Algorithms Humans Decision Support Techniques Machine Learning Fuzzy Logic
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Magnetically Coated Bioabsorbable Stents for Renormalization of Arterial Vessel Walls after Stent Implantation.

Nano letters Dec 28, 2017
The insertion of a stent in diseased arteries is a common endovascular procedure that can be compromised by the development of short- and long-term inflammatory responses leading to restenosis and thrombosis, respectively. While treatment with drugs,...
Magnets Thrombosis Metal Nanoparticles Coated Materials, Biocompatible Human Umbilical Vein Endothelial Cells Humans Coronary Restenosis Alloys Stem Cells Stents Magnesium Polyesters Iron Platinum
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