AIMC Topic:
Software
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Letter by Amukotuwa and Dehkharghani Regarding Article, "Deep Learning Based Software to Identify Large Vessel Occlusion on Noncontrast Computed Tomography".
Stroke
Jan 25, 2021
MINARO HD: control and evaluation of a handheld, highly dynamic surgical robot.
International journal of computer assisted radiology and surgery
Jan 23, 2021
PURPOSE: Current surgical robotic systems are either large serial arms, resulting in higher risks due to their high inertia and no inherent limitations of the working space, or they are bone-mounted, adding substantial additional task steps to the su...
Cognitive analysis of metabolomics data for systems biology.
Nature protocols
Jan 22, 2021
Cognitive computing is revolutionizing the way big data are processed and integrated, with artificial intelligence (AI) natural language processing (NLP) platforms helping researchers to efficiently search and digest the vast scientific literature. M...
Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs.
Genes
Jan 21, 2021
Antimicrobial peptides (AMPs) are natural peptides possessing antimicrobial activities. These peptides are important components of the innate immune system. They are found in various organisms. AMP screening and identification by experimental techniq...
The 3D reconstructed skin micronucleus assay using imaging flow cytometry and deep learning: A proof-of-principle investigation.
Mutation research. Genetic toxicology and environmental mutagenesis
Jan 20, 2021
The reconstructed skin micronucleus (RSMN) assay was developed in 2006, as an in vitro alternative for genotoxicity evaluation of dermally applied chemicals or products. In the years since, significant progress has been made in the optimization of th...
Micronucleus Tests
Mutagenicity Tests
Mitomycin
Tissue Scaffolds
Image Processing, Computer-Assisted
Software
False Positive Reactions
Predictive Value of Tests
Humans
Skin, Artificial
Automation, Laboratory
Proof of Concept Study
Skin
Flow Cytometry
Artificial Intelligence
Deep Learning
Feasibility Studies
Models, Biological
Kinematics and workspace analysis of 4SPRR-SPR parallel robots.
PloS one
Jan 20, 2021
The 4SPRR-SPR parallel robot, which has considerable potential for application in the field of machining, is a novel closed-loop mechanism with a high rigid-weight ratio. Kinematics and workspace analyses of the 4SPRR-SPR parallel robot are key requi...
TopSuite Web Server: A Meta-Suite for Deep-Learning-Based Protein Structure and Quality Prediction.
Journal of chemical information and modeling
Jan 19, 2021
Proteins carry out the most fundamental processes of life such as cellular metabolism, regulation, and communication. Understanding these processes at a molecular level requires knowledge of their three-dimensional structures. Experimental techniques...
Pair consensus decoding improves accuracy of neural network basecallers for nanopore sequencing.
Genome biology
Jan 19, 2021
We develop a general computational approach for improving the accuracy of basecalling with Oxford Nanopore's 1D and related sequencing protocols. Our software PoreOver ( https://github.com/jordisr/poreover ) finds the consensus of two neural networks...
Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic.
Emergency radiology
Jan 18, 2021
PURPOSE: The purpose of this study was to develop an automated process to analyze multimedia content on Twitter during the COVID-19 outbreak and classify content for radiological significance using deep learning (DL).
ELASPIC2 (EL2): Combining Contextualized Language Models and Graph Neural Networks to Predict Effects of Mutations.
Journal of molecular biology
Jan 13, 2021
The ELASPIC web server allows users to evaluate the effect of mutations on protein folding and protein-protein interaction on a proteome-wide scale. It uses homology models of proteins and protein-protein interactions, which have been precalculated f...
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