AIMC Topic: Cell Line, Tumor

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Grape Seed Proanthocyanidin Extract Inhibits Human Esophageal Squamous Cancerous Cell Line ECA109 via the NF-B Signaling Pathway.

Mediators of inflammation Dec 17, 2018
Esophageal squamous cell carcinoma is the most common type of squamous cell carcinoma. Grape seed proanthocyanidin extract (GSPE) is considered to exhibit anticancer activity against several different types of cancer. We aimed to determine whether GS...
Esophageal Neoplasms Proanthocyanidins Esophageal Squamous Cell Carcinoma Grape Seed Extract Apoptosis Cell Survival Caspase 3 NF-kappa B Enzyme-Linked Immunosorbent Assay Cell Proliferation Signal Transduction Cell Movement Humans Cell Line, Tumor
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Synthesis and characterization of Zinc oxide nanoparticles utilizing seed source of Ricinus communis and study of its antioxidant, antifungal and anticancer activity.

Materials science & engineering. C, Materials for biological applications Dec 10, 2018
ZnO nanoparticles have been synthesized using solution combustion technique and its antioxidant, antifungal, anticancer activity was studied. Ricinus communis plant seed extract used as fuel in synthesis by the solution combustion technique. Powder X...
Green Chemistry Technology Cell Line, Tumor Seeds Microscopy, Electron, Transmission Cell Survival Antioxidants Particle Size Penicillium Plant Extracts Aspergillus Ricinus Spectroscopy, Fourier Transform Infrared Antifungal Agents Humans Metal Nanoparticles Antineoplastic Agents Zinc Oxide Microbial Sensitivity Tests X-Ray Diffraction
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Genotoxicity evaluation of titanium dioxide nanoparticles using the mouse lymphoma assay and the Ames test.

Mutation research. Genetic toxicology and environmental mutagenesis Dec 1, 2018
Titanium dioxide nanoparticles (TiO-NPs) are widely used in the cosmetics, health, and food industries, but their safety and genotoxicity remain a matter of debate. We investigated whether TiO-NPs could induce gene mutations in mouse lymphoma L5178Y ...
Mutagenicity Tests Animals Mutation Rate Metal Nanoparticles Cell Line, Tumor DNA Damage Mice Titanium Salmonella typhimurium Mutagenesis
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Preliminary study on alginate/NIPAM hydrogel-based soft microrobot for controlled drug delivery using electromagnetic actuation and near-infrared stimulus.

Biomedical microdevices Nov 16, 2018
Currently, microrobots are receiving attention because of their small size and motility, which can be applied to minimal invasive therapy. Additionally, various microrobots using hydrogel with the characteristics of biocompatibility and biodegradabil...
Cell Line, Tumor Acrylamides Cell Survival Infrared Rays Robotics Electromagnetic Phenomena Doxorubicin Hydrogels Drug Liberation Microtechnology Humans Alginates Drug Delivery Systems
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Prediction of early metastatic disease in experimental breast cancer bone metastasis by combining PET/CT and MRI parameters to a Model-Averaged Neural Network.

Bone Nov 13, 2018
Macrometastases in bone are preceded by bone marrow invasion of disseminated tumor cells. This study combined functional imaging parameters from FDG-PET/CT and MRI in a rat model of breast cancer bone metastases to a Model-averaged Neural Network (av...
Neural Networks, Computer Female Animals Cell Line, Tumor Humans Mammary Neoplasms, Experimental ROC Curve Positron Emission Tomography Computed Tomography Rats Models, Biological Magnetic Resonance Imaging Tumor Burden Bone Neoplasms
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A Convolutional Neural Network Uses Microscopic Images to Differentiate between Mouse and Human Cell Lines and Their Radioresistant Clones.

Cancer research Sep 25, 2018
: Artificial intelligence (AI) trained with a convolutional neural network (CNN) is a recent technological advancement. Previously, several attempts have been made to train AI using medical images for clinical applications. However, whether AI can di...
Humans Neural Networks, Computer Phenotype Animals Radiation Tolerance Neoplasms Microscopy, Phase-Contrast Cell Line, Tumor Image Processing, Computer-Assisted Mice
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Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Magnetic resonance in medicine Sep 17, 2018
PURPOSE: We sought to assess whether machine learning-based classification approaches can improve the classification of pancreatic tumor models relative to more simplistic analysis methods, using T relaxation, CEST, and DCE MRI.
Pancreatic Neoplasms Principal Component Analysis Area Under Curve Hypoxia Cell Line, Tumor Image Processing, Computer-Assisted Mice Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Mice, SCID Image Enhancement Normal Distribution Humans Machine Learning Algorithms Female Reproducibility of Results Sensitivity and Specificity Animals
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Computational Optics Enables Breast Cancer Profiling in Point-of-Care Settings.

ACS nano Aug 20, 2018
The global burden of cancer, severe diagnostic bottlenecks in underserved regions, and underfunded health care systems are fueling the need for inexpensive, rapid, and treatment-informative diagnostics. On the basis of advances in computational optic...
Point-of-Care Systems Deep Learning Biopsy, Fine-Needle Humans Cell Line, Tumor Algorithms Image Processing, Computer-Assisted Female Breast Neoplasms
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Predict effective drug combination by deep belief network and ontology fingerprints.

Journal of biomedical informatics Aug 3, 2018
The synergistic effect of drug combination is one of the most desirable properties for treating cancer. However, systematically predicting effective drug combination is a significant challenge. We report here a novel method based on deep belief netwo...
Databases, Pharmaceutical Antineoplastic Combined Chemotherapy Protocols Drug Combinations Drug Synergism Gene Ontology Deep Learning Cell Line, Tumor Gene Regulatory Networks Computational Biology Humans Neoplasms Gene Expression Profiling
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Kernel-Based Microfluidic Constriction Assay for Tumor Sample Identification.

ACS sensors Jul 18, 2018
A high-throughput multiconstriction microfluidic channels device can distinguish human breast cancer cell lines (MDA-MB-231, HCC-1806, MCF-7) from immortalized breast cells (MCF-10A) with a confidence level of ∼81-85% at a rate of 50-70 cells/min bas...
Humans Machine Learning Female Breast Neoplasms Cell Line, Tumor Microfluidics Lab-On-A-Chip Devices Cell Size
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