AIMC Topic: Mesenchymal Stem Cells
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Supervised machine learning for automated classification of human Wharton's Jelly cells and mechanosensory hair cells.
PloS one
Jan 8, 2021
Tissue engineering and gene therapy strategies offer new ways to repair permanent damage to mechanosensory hair cells (MHCs) by differentiating human Wharton's Jelly cells (HWJCs). Conventionally, these strategies require the classification of each c...
Machine learning to predict mesenchymal stem cell efficacy for cartilage repair.
PLoS computational biology
Oct 7, 2020
Inconsistent therapeutic efficacy of mesenchymal stem cells (MSCs) in regenerative medicine has been documented in many clinical trials. Precise prediction on the therapeutic outcome of a MSC therapy based on the patient's conditions would provide va...
Bioinspired Soft Microrobots with Precise Magneto-Collective Control for Microvascular Thrombolysis.
Advanced materials (Deerfield Beach, Fla.)
May 20, 2020
New-era soft microrobots for biomedical applications need to mimic the essential structures and collective functions of creatures from nature. Biocompatible interfaces, intelligent functionalities, and precise locomotion control in a collective manne...
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...
Cell mitosis event analysis in phase contrast microscopy images using deep learning.
Medical image analysis
Jun 22, 2019
In this paper, we solve the problem of mitosis event localization and its stage localization in time-lapse phase-contrast microscopy images. Our method contains three steps: first, we formulate a Low-Rank Matrix Recovery (LRMR) model to find salient ...
Morphological profiling using machine learning reveals emergent subpopulations of interferon-γ-stimulated mesenchymal stromal cells that predict immunosuppression.
Cytotherapy
Nov 28, 2018
BACKGROUND: Although a preponderance of pre-clinical data demonstrates the immunosuppressive potential of mesenchymal stromal cells (MSCs), significant heterogeneity and lack of critical quality attributes (CQAs) based on immunosuppressive capacity l...
Simvastatin and nanofibrous poly(l-lactic acid) scaffolds to promote the odontogenic potential of dental pulp cells in an inflammatory environment.
Acta biomaterialia
Dec 30, 2017
UNLABELLED: In this study, we investigated the anti-inflammatory, odontogenic and pro-angiogenic effects of integrating simvastatin and nanofibrous poly(l-lactic acid) (NF-PLLA) scaffolds on dental pulp cells (DPCs). Highly porous NF-PLLA scaffolds t...
Cytoprotection
Dental Pulp
RNA, Messenger
Nanofibers
Alkaline Phosphatase
Humans
Odontogenesis
Cell Differentiation
Inflammation
Mesenchymal Stem Cells
Gene Expression Regulation
Biomarkers
Human Umbilical Vein Endothelial Cells
Signal Transduction
Neovascularization, Physiologic
Tissue Scaffolds
Lipopolysaccharides
Young Adult
Polyesters
Simvastatin
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...
Automated Robotic Dispensing Technique for Surface Guidance and Bioprinting of Cells.
Journal of visualized experiments : JoVE
Nov 18, 2016
This manuscript describes the introduction of cell guidance features followed by the direct delivery of cells to these features in a hydrogel bioink using an automated robotic dispensing system. The particular bioink was selected as it allows cells t...
Machine learning based methodology to identify cell shape phenotypes associated with microenvironmental cues.
Biomaterials
Jun 25, 2016
Cell morphology has been identified as a potential indicator of stem cell response to biomaterials. However, determination of cell shape phenotype in biomaterials is complicated by heterogeneous cell populations, microenvironment heterogeneity, and m...
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