AIMC Topic: Computer Simulation

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Computational Models for Self-Interacting Proteins Prediction.

Protein and peptide letters Jan 1, 2020
Self-Interacting Proteins (SIPs), whose two or more copies can interact with each other, have significant roles in cellular functions and evolution of Protein Interaction Networks (PINs). Knowing whether a protein can act on itself is important to un...
Drug Design Protein Interaction Maps Protein Binding Models, Molecular Proteins Machine Learning Protein Multimerization Databases, Protein Computer Simulation
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Identification of Key Features of CNS Drugs Based on SVM and Greedy Algorithm.

Current computer-aided drug design Jan 1, 2020
INTRODUCTION: The research and development of drugs, related to the central nervous system (CNS) diseases is a long and arduous process with high cost, long cycle and low success rate. Identification of key features based on available CNS drugs is of...
Drug Evaluation, Preclinical Ligands Central Nervous System Guanidines Blood-Brain Barrier Support Vector Machine Pharmaceutical Preparations Humans Algorithms Computer Simulation
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Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2020
Electronic Health Records (EHR) contain extensive patient data on various health outcomes and risk predictors, providing an efficient and wide-reaching source for health research. Integrated EHR data can provide a larger sample size of the population...
Computational Biology Information Dissemination Medical Informatics Algorithms Computer Simulation Electronic Health Records Humans Machine Learning
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Recent Advances on the Semi-Supervised Learning for Long Non-Coding RNA-Protein Interactions Prediction: A Review.

Protein and peptide letters Jan 1, 2020
In recent years, more and more evidence indicates that long non-coding RNA (lncRNA) plays a significant role in the development of complex biological processes, especially in RNA progressing, chromatin modification, and cell differentiation, as well ...
Protein Binding RNA-Binding Proteins RNA, Long Noncoding Proteins Humans Software Computer Simulation Databases, Nucleic Acid Databases, Protein Models, Molecular Supervised Machine Learning
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Ensuring electronic medical record simulation through better training, modeling, and evaluation.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Electronic medical records (EMRs) can support medical research and discovery, but privacy risks limit the sharing of such data on a wide scale. Various approaches have been developed to mitigate risk, including record simulation via genera...
Computer Simulation Datasets as Topic Electronic Health Records Age Distribution Female Adult Models, Theoretical Humans Male Child Data Anonymization Privacy Neural Networks, Computer
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Scaling tree-based automated machine learning to biomedical big data with a feature set selector.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Automated machine learning (AutoML) systems are helpful data science assistants designed to scan data for novel features, select appropriate supervised learning models and optimize their parameters. For this purpose, Tree-based Pipeline O...
Humans Depressive Disorder, Major Big Data Computational Biology Genome Machine Learning Software Computer Simulation
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A novel compliant surgical robot: Preliminary design analysis.

Mathematical biosciences and engineering : MBE Dec 19, 2019
A robotic surgical system capable of performing minimally invasive surgery (MIS) is proposed in this paper. Based on the requirements of MIS, a compliant, seven- degrees of freedom (7-DOF) pneumatically actuated mechanism is designed. A remote center...
Compliance Computer Simulation Rotation Humans Biomedical Engineering Algorithms Motion Laparoscopes Minimally Invasive Surgical Procedures Biomechanical Phenomena Equipment Design Robotics Robotic Surgical Procedures
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deepDR: a network-based deep learning approach to in silico drug repositioning.

Bioinformatics (Oxford, England) Dec 15, 2019
MOTIVATION: Traditional drug discovery and development are often time-consuming and high risk. Repurposing/repositioning of approved drugs offers a relatively low-cost and high-efficiency approach toward rapid development of efficacious treatments. T...
Software Drug Repositioning Computer Simulation Deep Learning Computational Biology
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Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network.

Chaos (Woodbury, N.Y.) Dec 1, 2019
We suggest a new method for building data-driven dynamical models from observed multidimensional time series. The method is based on a recurrent neural network with specific structure, which allows for the joint reconstruction of both a low-dimension...
Bayes Theorem Signal Processing, Computer-Assisted Probability Stochastic Processes Atmosphere Algorithms Computer Simulation Models, Theoretical Neural Networks, Computer Data Analysis
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Averting robo-bees: why free-flying robotic bees are a bad idea.

Emerging topics in life sciences Nov 27, 2019
Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduc...
Pollination Robotics Food Supply Computer Simulation Bees Models, Biological Herbicides Animals Climate Change Flowers Pesticides Ecosystem Crops, Agricultural
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