AIMC Topic: MCF-7 Cells

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Investigation of the biochemical and apoptotic changes in breast cancer cells treated with leaf extract from tea (Camellia sinensis L.) grown with added boric acid.

Pakistan journal of pharmaceutical sciences Sep 1, 2020
Tea obtained from the leaves of Camellia sinensis L., a medicinal plant, is a widely popular beverage. Deficiency in boron, a micronutrient for C. sinensis, affects the growth as well as the quality of tea. The aim of this study was to explore whethe...
Camellia sinensis MCF-7 Cells Antineoplastic Agents, Phytogenic Plant Leaves Boric Acids Antioxidants Breast Neoplasms Plant Extracts Oxidative Stress Humans Female Cell Proliferation Apoptosis
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Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging.

Journal of biomedical optics Feb 1, 2020
SIGNIFICANCE: We introduce an application of machine learning trained on optical phase features of epithelial and mesenchymal cells to grade cancer cells' morphologies, relevant to evaluation of cancer phenotype in screening assays and clinical biops...
Breast Neoplasms Fibroblasts Algorithms Female Humans Machine Learning Mesenchymal Stem Cells Holography Gingiva Epithelial Cells MCF-7 Cells
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Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body.

Cell Dec 12, 2019
Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therapeutic antibodies within the entire body has long been needed to better understand and treat cancer metastasis. Here, we developed an integrated pipelin...
Tumor Microenvironment Animals Humans Software Deep Learning Mice Mice, Nude Neoplasms Diagnosis, Computer-Assisted Mice, SCID Drug Therapy, Computer-Assisted Antibodies Neoplasm Metastasis Mice, Inbred C57BL MCF-7 Cells
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The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology.

Oncotarget Feb 14, 2017
Recent advances in deep learning and specifically in generative adversarial networks have demonstrated surprising results in generating new images and videos upon request even using natural language as input. In this paper we present the first applic...
MCF-7 Cells High-Throughput Screening Assays K562 Cells Drug Therapy Cell Line, Tumor Drug Screening Assays, Antitumor Reproducibility of Results Antineoplastic Agents Neural Networks, Computer Machine Learning Humans
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Redox-Responsive Amphipathic Dextran Nanomicelles for Solid Tumor Therapy.

Journal of biomedical nanotechnology Dec 1, 2016
A disulfide bond containing deoxycholic acid-grafted dextran (Dex-SSDCA) was successfully prepared for drug delivery. The Dex-SSDCA polymers can self-assemble into nanomicelles at concentrations below 56 g/mL and encapsulate doxorubicin (DOX) effecti...
Animals Dextrans Nanoparticles Apoptosis Dithiothreitol Drug Carriers Mice, Nude Male Cell Survival MCF-7 Cells Micelles Cell Line, Tumor Antineoplastic Agents Oxidation-Reduction Humans Mice Xenograft Model Antitumor Assays Doxorubicin
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