AIMC Topic: Stem Cells

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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
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...

Fuzzy Expert System based on a Novel Hybrid Stem Cell (HSC) Algorithm for Classification of Micro Array Data.

Journal of medical systems
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...

Magnetically Coated Bioabsorbable Stents for Renormalization of Arterial Vessel Walls after Stent Implantation.

Nano letters
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,...

In vitro prebiotic effects and quantitative analysis of Bulnesia sarmienti extract.

Journal of food and drug analysis
Prebiotics are used to influence the growth, colonization, survival, and activity of probiotics, and enhance the innate immunity, thus improving the health status of the host. The survival, growth, and activity of probiotics are often interfered with...

Texture Descriptors Ensembles Enable Image-Based Classification of Maturation of Human Stem Cell-Derived Retinal Pigmented Epithelium.

PloS one
AIMS: A fast, non-invasive and observer-independent method to analyze the homogeneity and maturity of human pluripotent stem cell (hPSC) derived retinal pigment epithelial (RPE) cells is warranted to assess the suitability of hPSC-RPE cells for impla...

Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.

The Journal of comparative neurology
Generation of the primate cortex is characterized by the diversity of cortical precursors and the complexity of their lineage relationships. Recent studies have reported miscellaneous precursor types based on observer classification of cell biology f...

Artificial intelligence and systems biology analysis in stem cell research and therapeutics development.

Stem cells translational medicine
BACKGROUND: Stem cell research has rapidly advanced during the past decades, but the translation into approved clinical products is still lagging behind. Multiple barriers to effective clinical translation exist. We hypothesize that an ineffective us...

Droplet microfluidics integrated with machine learning reveals how adipose-derived stem cells modulate endocrine response and tumor heterogeneity in ER breast cancer.

Lab on a chip
Approximately 70% of breast cancer (BC) diagnoses are estrogen receptor positive (ER) with ∼40% of ER BC patients presenting resistance to endocrine therapy (ET). Recent studies identify the tumor microenvironment (TME) as having a key role in endoc...

Leukaemia Stem Cells and Their Normal Stem Cell Counterparts Are Morphologically Distinguishable by Artificial Intelligence.

Journal of cellular and molecular medicine
Leukaemia stem cells (LSCs) are a rare population among the bulk of leukaemia cells and are responsible for disease initiation, progression/relapse and insensitivity to therapies in numerous haematologic malignancies. Identification of LSCs and monit...

The global evolution and impact of systems biology and artificial intelligence in stem cell research and therapeutics development: a scoping review.

Stem cells (Dayton, Ohio)
Advanced bioinformatics analysis, such as systems biology (SysBio) and artificial intelligence (AI) approaches, including machine learning (ML) and deep learning (DL), is increasingly present in stem cell (SC) research. An approximate timeline on the...