AIMC Topic:
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Rare diseases 2030: how augmented AI will support diagnosis and treatment of rare diseases in the future.

Annals of the rheumatic diseases Mar 24, 2020
Symptom Assessment Familial Mediterranean Fever Rare Diseases Adolescent Decision Support Systems, Clinical Software Genetic Testing Male Forecasting Diagnosis, Computer-Assisted Electronic Health Records Humans Artificial Intelligence
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Surgeon-robot interface development framework.

Computers in biology and medicine Mar 23, 2020
The progress of robotic medicine leads to the emergence of an increasing number of highly specialized automated systems based on specialized software. In any such system, there is the task of translating the surgeon's requests into the process of aut...
Computers Surgeons User-Computer Interface Humans Software Robotics
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Deep learning based searching approach for RDF graphs.

PloS one Mar 23, 2020
The Internet is a remarkably complex technical system. Its rapid growth has also brought technical issues such as problems to information retrieval. Search engines retrieve requested information based on the provided keywords. Consequently, it is dif...
Deep Learning Data Mining Software Databases, Factual
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SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation.

Environment international Mar 20, 2020
BACKGROUND: In the screening phase of systematic review, researchers use detailed inclusion/exclusion criteria to decide whether each article in a set of candidate articles is relevant to the research question under consideration. A typical review ma...
Machine Learning Software Research
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Machine learning for cluster analysis of localization microscopy data.

Nature communications Mar 20, 2020
Quantifying the extent to which points are clustered in single-molecule localization microscopy data is vital to understanding the spatial relationships between molecules in the underlying sample. Many existing computational approaches are limited in...
Neural Networks, Computer Machine Learning Software Humans Optical Imaging Single Molecule Imaging Biological Phenomena Cluster Analysis Workflow Microscopy
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Improving detection of protein-ligand binding sites with 3D segmentation.

Scientific reports Mar 19, 2020
In recent years machine learning (ML) took bio- and cheminformatics fields by storm, providing new solutions for a vast repertoire of problems related to protein sequence, structure, and interactions analysis. ML techniques, deep neural networks espe...
Protein Binding Proteins Ligands Binding Sites Software Neural Networks, Computer Machine Learning Drug Design Drug Discovery
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PACC: Large scale connected component computation on Hadoop and Spark.

PloS one Mar 18, 2020
A connected component in a graph is a set of nodes linked to each other by paths. The problem of finding connected components has been applied to diverse graph analysis tasks such as graph partitioning, graph compression, and pattern recognition. Sev...
Artificial Intelligence Humans Algorithms Software Social Media Social Networking Data Analysis
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Energy-based graph convolutional networks for scoring protein docking models.

Proteins Mar 16, 2020
Structural information about protein-protein interactions, often missing at the interactome scale, is important for mechanistic understanding of cells and rational discovery of therapeutics. Protein docking provides a computational alternative for su...
Deep Learning Protein Binding Proteins Peptides Molecular Docking Simulation Binding Sites Thermodynamics Computer Graphics Benchmarking Amino Acid Sequence Ligands Humans Software Research Design Protein Conformation, beta-Strand Protein Interaction Mapping Protein Interaction Domains and Motifs Protein Multimerization Structural Homology, Protein Protein Conformation, alpha-Helical
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Deep-learning- and pharmacophore-based prediction of RAGE inhibitors.

Physical biology Mar 16, 2020
The receptor for advanced glycation end products (RAGE) has been identified as a therapeutic target in a host of pathological diseases, including Alzheimer's disease. RAGE is a target with no crystallographic data on inhibitors in complex with RAGE, ...
Humans Software Receptor for Advanced Glycation End Products Deep Learning Models, Molecular Small Molecule Libraries
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Application of Artificial Neural Network for Prediction of Risk of Multiple Sclerosis Based on Single Nucleotide Polymorphism Genotypes.

Journal of molecular neuroscience : MN Mar 9, 2020
The artificial neural network (ANN) is a sort of machine learning method which has been used in determination of risk of human disorders. In the current investigation, we have created an ANN and trained it based on the genetic data of 401 multiple sc...
Polymorphism, Single Nucleotide Genotype Multiple Sclerosis Adult Male Genome-Wide Association Study Software Female Humans Neural Networks, Computer
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