AIMC Topic: Bone Marrow Cells
Clear Filters Showing 21 to 30 of 36 articles
Single-cell transcriptome reveals the novel role of T-bet in suppressing the immature NK gene signature.
eLife
May 14, 2020
The transcriptional activation and repression during NK cell ontology are poorly understood. Here, using single-cell RNA-sequencing, we reveal a novel role for T-bet in suppressing the immature gene signature during murine NK cell development. Based ...
Mice, Knockout
Proto-Oncogene Proteins c-akt
Bone Marrow Cells
Gene Expression Regulation
Genotype
Cluster Analysis
Mice, Inbred C57BL
Rapamycin-Insensitive Companion of mTOR Protein
Regulatory-Associated Protein of mTOR
T-Box Domain Proteins
T-bet Transcription Factor
Killer Cells, Natural
Forkhead Box Protein O1
Mechanistic Target of Rapamycin Complex 2
Machine Learning
Phenotype
Animals
Single-Cell Analysis
RNA-Seq
Gene Expression Profiling
Transcriptome
Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells.
Laboratory investigation; a journal of technical methods and pathology
Sep 30, 2019
Bone marrow aspirate (BMA) differential cell counts (DCCs) are critical for the classification of hematologic disorders. While manual counts are considered the gold standard, they are labor intensive, time consuming, and subject to bias. A reliable a...
Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting.
Computers in biology and medicine
Jul 22, 2019
Stem cells are a group of competent cells capable of self-renewal and differentiating into osteogenic, chondrogenic, and adipogenic lineages. These cells provide the possibility of successfully treating patients. During differentiation into adipose t...
Bone Marrow Cells Detection: A Technique for the Microscopic Image Analysis.
Journal of medical systems
Feb 23, 2019
In the detection of myeloproliferative, the number of cells in each type of bone marrow cells (BMC) is an important parameter for the evaluation. In this study, we propose a new counting method, which consists of three modules including localization,...
Simultaneous Cell Detection and Classification in Bone Marrow Histology Images.
IEEE journal of biomedical and health informatics
Oct 31, 2018
Recently, deep learning frameworks have been shown to be successful and efficient in processing digital histology images for various detection and classification tasks. Among these tasks, cell detection and classification are key steps in many comput...
Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks.
IEEE journal of biomedical and health informatics
Jul 3, 2018
The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical for histopathology image analysis. By learning cell-level visual representation, we can obtain a rich mix of features that are highly reusable for var...
Human Wharton's Jelly-Derived Stem Cells Display a Distinct Immunomodulatory and Proregenerative Transcriptional Signature Compared to Bone Marrow-Derived Stem Cells.
Stem cells and development
Dec 21, 2017
Mesenchymal stromal cells (MSCs) are multipotent stem cells with immunosuppressive and trophic support functions. While MSCs from different sources frequently display a similar appearance in culture, they often show differences in their surface marke...
Efficient and robust cell detection: A structured regression approach.
Medical image analysis
Jul 26, 2017
Efficient and robust cell detection serves as a critical prerequisite for many subsequent biomedical image analysis methods and computer-aided diagnosis (CAD). It remains a challenging task due to touching cells, inhomogeneous background noise, and l...
Clustering Single-Cell Expression Data Using Random Forest Graphs.
IEEE journal of biomedical and health informatics
May 10, 2016
Complex tissues such as brain and bone marrow are made up of multiple cell types. As the study of biological tissue structure progresses, the role of cell-type-specific research becomes increasingly important. Novel sequencing technology such as sing...
[Naringenin promotes osteogenic differentiation of BMSCs via SDF-1α/CXCR4 signaling axis].
Shanghai kou qiang yi xue = Shanghai journal of stomatology
Dec 1, 2021
PURPOSE: To explore the influence of naringenin on osteogenic differentiation of bone mesenchymal stem cells(BMSCs), and the role of SDF-1α/CXCR4 signaling axis in the osteogenic differentiation by naringenin.
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823