AIMC Topic: Mice

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Detecting mouse squamous cell carcinoma from submicron full-field optical coherence tomography images by deep learning.

Journal of biophotonics Sep 21, 2020
The standard medical practice for cancer diagnosis requires histopathology, which is an invasive and time-consuming procedure. Optical coherence tomography (OCT) is an alternative that is relatively fast, noninvasive, and able to capture three-dimens...
Intestinal Neoplasms Algorithms Carcinoma, Squamous Cell Mice Tomography, Optical Coherence Animals Deep Learning
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Using Chou's 5-steps rule to identify N-methyladenine sites by ensemble learning combined with multiple feature extraction methods.

Journal of biomolecular structure & dynamics Sep 18, 2020
-methyladenine (m6A), a type of modification mostly affecting the downstream biological functions and determining the levels of gene expression, is mediated by the methylation of adenine in nucleic acids. It is also a key factor for influencing biolo...
Humans Machine Learning Algorithms Bayes Theorem Animals Mice Adenine Computational Biology Support Vector Machine
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Myricitrin inhibits vascular endothelial growth factor-induced angiogenesis of human umbilical vein endothelial cells and mice.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Sep 17, 2020
In the present study, the protective effects of myricitrin against vascular endothelial growth factor (VEGF)-induced angiogenesis of vascular endothelial cells were characterized. Cells were induced with 50 ng/mL VEGF in the presence or absence of va...
Human Umbilical Vein Endothelial Cells Disease Models, Animal Humans Neovascularization, Physiologic Mice Biomarkers Caspases Apoptosis Vascular Endothelial Growth Factors Angiogenesis Inhibitors Flavonoids Matrix Metalloproteinases Animals Xenograft Model Antitumor Assays Neovascularization, Pathologic Cell Line, Tumor
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Training deep neural density estimators to identify mechanistic models of neural dynamics.

eLife Sep 17, 2020
Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of underlying causes. However, determining which model parameters agree with complex and stochastic neural data presents a significant challenge. We address this challen...
Rats Bayes Theorem Neurons Neural Networks, Computer Animals Mice Machine Learning Algorithms
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Computational methods and next-generation sequencing approaches to analyze epigenetics data: Profiling of methods and applications.

Methods (San Diego, Calif.) Sep 14, 2020
Epigenetics is mainly comprised of features that regulate genomic interactions thereby playing a crucial role in a vast array of biological processes. Epigenetic mechanisms such as DNA methylation and histone modifications influence gene expression b...
Machine Learning Data Analysis Animals Epigenomics DNA Methylation Mice Epigenesis, Genetic Humans High-Throughput Nucleotide Sequencing Histone Code
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Myelin detection in fluorescence microscopy images using machine learning.

Journal of neuroscience methods Sep 12, 2020
BACKGROUND: The myelin sheath produced by glial cells insulates the axons, and supports the function of the nervous system. Myelin sheath degeneration causes neurodegenerative disorders, such as multiple sclerosis (MS). There are no therapies for MS ...
Microscopy, Fluorescence Myelin Sheath Axons Animals Mice Neural Networks, Computer Machine Learning
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Molecular imaging and deep learning analysis of uMUC1 expression in response to chemotherapy in an orthotopic model of ovarian cancer.

Scientific reports Sep 10, 2020
Artificial Intelligence (AI) algorithms including deep learning have recently demonstrated remarkable progress in image-recognition tasks. Here, we utilized AI for monitoring the expression of underglycosylated mucin 1 (uMUC1) tumor antigen, a biomar...
Humans Antineoplastic Agents Deep Learning Mice Cell Proliferation Artificial Intelligence Female Animals Tumor Cells, Cultured Docetaxel Mice, Nude Xenograft Model Antitumor Assays Molecular Imaging Apoptosis Mucin-1 Ovarian Neoplasms
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A novel method based on infrared spectroscopic inception-resnet networks for the detection of the major fish allergen parvalbumin.

Food chemistry Sep 6, 2020
We have developed a novel approach that involves inception-resnet network (IRN) modeling based on infrared spectroscopy (IR) for rapid and specific detection of the fish allergen parvalbumin. SDS-PAGE and ELISA were used to validate the new method. T...
Spectrophotometry, Infrared Fish Products Parvalbumins Allergens Fish Proteins Electrophoresis, Polyacrylamide Gel Mice Enzyme-Linked Immunosorbent Assay Support Vector Machine Food Hypersensitivity Fishes Food Analysis Mice, Inbred BALB C Neural Networks, Computer Reproducibility of Results Animals
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Multi-Responsive Bottlebrush-Like Unimolecules Self-Assembled Nano-Riceball for Synergistic Sono-Chemotherapy.

Small methods Sep 2, 2020
Improved drug loading content, bioavailability, and controlled release in targeted tissue have been major bottlenecks in the design of precision nanomedicine. Herein, a tumor-specific and multiple-stimuli responsive nano-riceball is proposed and vali...
Mice Nanomedicine Animals Doxorubicin Liver Neoplasms Micelles Carcinoma, Hepatocellular
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Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis.

Scientific reports Sep 1, 2020
Quantitatively determining in vivo achievable drug concentrations in targeted organs of animal models and subsequent target engagement confirmation is a challenge to drug discovery and translation due to lack of bioassay technologies that can discrim...
Drug Discovery Deep Learning Image Processing, Computer-Assisted Mice Intestine, Small Animals Carbocyanines Colon Tissue Distribution Fluorescent Dyes Immunoconjugates Cadherins High-Throughput Screening Assays
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