AIMC Topic: Epithelial Cells
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Machine-Learning-Based Approach to Decode the Influence of Nanomaterial Properties on Their Interaction with Cells.
ACS applied materials & interfaces
Dec 29, 2020
In an nanotoxicity system, cell-nanoparticle (NP) interaction leads to the surface adsorption, uptake, and changes into nuclei/cell phenotype and chemistry, as an indicator of oxidative stress, genotoxicity, and carcinogenicity. Different types of n...
Artificial Intelligence-Based Quantification of Epithelial Proliferation in Mammary Glands of Rats and Oviducts of Göttingen Minipigs.
Toxicologic pathology
Aug 25, 2020
Quantitative assessment of proliferation can be an important endpoint in toxicologic pathology. Traditionally, cell proliferation is quantified by labor-intensive manual counting of positive and negative cells after immunohistochemical staining for p...
Deep learning-based classification of the mouse estrous cycle stages.
Scientific reports
Jul 16, 2020
There is a rapidly growing demand for female animals in preclinical animal, and thus it is necessary to determine animals' estrous cycle stages from vaginal smear cytology. However, the determination of estrous stages requires extensive training, tak...
A Strictly Unsupervised Deep Learning Method for HEp-2 Cell Image Classification.
Sensors (Basel, Switzerland)
May 9, 2020
Classifying the images that portray the Human Epithelial cells of type 2 (HEp-2) represents one of the most important steps in the diagnosis procedure of autoimmune diseases. Performing this classification manually represents an extremely complicated...
Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network.
Neural networks : the official journal of the International Neural Network Society
May 7, 2020
The analysis of tissue of a tumor in the oral cavity is essential for the pathologist to ascertain its grading. Recent studies using biopsy images reveal computer-aided diagnosis for oral sub-mucous fibrosis (OSF) carried out using machine learning a...
Novel biomarker genes which distinguish between smokers and chronic obstructive pulmonary disease patients with machine learning approach.
BMC pulmonary medicine
Feb 3, 2020
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is combination of progressive lung diseases. The diagnosis of COPD is generally based on the pulmonary function testing, however, difficulties underlie in prognosis of smokers or early stage of...
Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67.
IEEE transactions on medical imaging
Aug 7, 2019
Immunohistochemistry (IHC) of ER, PR, and Ki-67 are routinely used assays in breast cancer diagnostics. Determination of the proportion of stained cells (labeling index) should be restricted on malignant epithelial cells, carefully avoiding tumor inf...
Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Apr 22, 2019
Robust and reproducible profiling of cell lines is essential for phenotypic screening assays. The goals of this study were to determine robust and reproducible optical phase signatures of cell lines for classification with machine learning and to cor...
Effect of potential probiotic Leuconostoc mesenteroides FB111 in prevention of cholesterol absorption by modulating NPC1L1/PPARα/SREBP-2 pathways in epithelial Caco-2 cells.
International microbiology : the official journal of the Spanish Society for Microbiology
Dec 5, 2018
Mustard kimchi consumption reduces cholesterol levels in rats. To identify lactic acid bacteria (LAB) in kimchi which exert this effect, 20 LAB isolates were evaluated for cholesterol reduction in an in vitro screen. The FB111 strain showed the highe...
Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms.
Scientific reports
Oct 25, 2018
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers an...
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