AIMC Topic: Mice
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Assessing micrometastases as a target for nanoparticles using 3D microscopy and machine learning.
Proceedings of the National Academy of Sciences of the United States of America
Jul 8, 2019
Metastasis of solid tumors is a key determinant of cancer patient survival. Targeting micrometastases using nanoparticles could offer a way to stop metastatic tumor growth before it causes excessive patient morbidity. However, nanoparticle delivery t...
Alkaline conditions better extract anti-inflammatory polysaccharides from winemaking by-products.
Food research international (Ottawa, Ont.)
Jul 3, 2019
Winemaking generates large amounts of by-products, a well recognized source of phenolic compounds. However, less attention has been paid to the polysaccharide-rich fraction (PRF) and effects of fractionation techniques on its potential bioactivity. T...
Morphology-based classification of mycobacteria-infected macrophages with convolutional neural network: reveal EsxA-induced morphologic changes indistinguishable by naked eyes.
Translational research : the journal of laboratory and clinical medicine
Jun 28, 2019
EsxA is an essential virulence factor for Mycobacterium tuberculosis (Mtb) pathogenesis as well as an important biomarker for Mtb detection. In this study, we use light microscopy and deep learning-based image analysis to classify the morphologic cha...
Prototyping a memristive-based device to analyze neuronal excitability.
Biophysical chemistry
Jun 24, 2019
Many efforts have been spent in the last decade for the development of nanoscale synaptic devices integrated into neuromorphic circuits, trying to emulate the behavior of natural synapses. The study of brain properties with the standard approaches ba...
Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers.
Scientific reports
Jun 24, 2019
The establishment of new therapeutic strategies for metabolic syndrome is urgently needed because metabolic syndrome, which is characterized by several disorders, such as hypertension, increases the risk of lifestyle-related diseases. One approach is...
Detection and Classification of Novel Renal Histologic Phenotypes Using Deep Neural Networks.
The American journal of pathology
Jun 18, 2019
With the advent and increased accessibility of deep neural networks (DNNs), complex properties of histologic images can be rigorously and reproducibly quantified. We used DNN-based transfer learning to analyze histologic images of periodic acid-Schif...
Analysis and prediction of human acetylation using a cascade classifier based on support vector machine.
BMC bioinformatics
Jun 17, 2019
BACKGROUND: Acetylation on lysine is a widespread post-translational modification which is reversible and plays a crucial role in some biological activities. To better understand the mechanism, it is necessary to identify acetylation sites in protein...
Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data.
BMC bioinformatics
Jun 10, 2019
BACKGROUND: Single cell RNA sequencing (scRNA-seq) is applied to assay the individual transcriptomes of large numbers of cells. The gene expression at single-cell level provides an opportunity for better understanding of cell function and new discove...
Kinetics of -induced gene silencing can be predicted from combinations of epigenetic and genomic features.
Genome research
Jun 7, 2019
To initiate X-Chromosome inactivation (XCI), the long noncoding RNA mediates chromosome-wide gene silencing of one X Chromosome in female mammals to equalize gene dosage between the sexes. The efficiency of gene silencing is highly variable across g...
An Intelligent DNA Nanorobot with Enhanced Protein Lysosomal Degradation of HER2.
Nano letters
Jun 5, 2019
DNA nanorobots have emerged as new tools for nanomedicine with the potential to ameliorate the delivery and anticancer efficacy of various drugs. DNA nanostructures have been considered one of the most promising nanocarriers. In the present study, we...
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