AIMC Topic: Computer Simulation

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[AI-based QSAR Modeling for Prediction of Active Compounds in MIE/AOP].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2020
Toxicity testing is critical for new drug and chemical development process. A clinical study, experimental animal models, and in vitro study are performed to evaluate the safety of a new drug. The limitations of these methods include extensive time f...
Adverse Outcome Pathways Animals Quantitative Structure-Activity Relationship Drug-Related Side Effects and Adverse Reactions Toxicity Tests Models, Animal Animal Testing Alternatives Artificial Intelligence Computer Simulation
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Density and Distinctiveness in Early Word Learning: Evidence From Neural Network Simulations.

Cognitive science Jan 1, 2020
High phonological neighborhood density has been associated with both advantages and disadvantages in early word learning. High density may support the formation and fine-tuning of new word sound memories-a process termed lexical configuration (e.g., ...
Computer Simulation Learning Child Verbal Learning Phonetics Linguistics Humans Neural Networks, Computer
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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...
Databases, Protein Protein Interaction Maps Models, Molecular Protein Binding Machine Learning Protein Multimerization Proteins Computer Simulation Drug Design
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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...
Central Nervous System Guanidines Pharmaceutical Preparations Drug Evaluation, Preclinical Ligands Blood-Brain Barrier Support Vector Machine 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...
Medical Informatics Electronic Health Records Computational Biology Information Dissemination Humans Machine Learning Algorithms Computer Simulation
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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 ...
Humans Software RNA, Long Noncoding Proteins Databases, Protein Computer Simulation Protein Binding RNA-Binding Proteins Models, Molecular Supervised Machine Learning Databases, Nucleic Acid
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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...
Age Distribution Data Anonymization Privacy Datasets as Topic Electronic Health Records Female Adult Humans Neural Networks, Computer Computer Simulation Male Child Models, Theoretical
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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 Machine Learning Big Data Computational Biology Genome Software Computer Simulation Depressive Disorder, Major
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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...
Minimally Invasive Surgical Procedures Computer Simulation Laparoscopes Equipment Design Biomechanical Phenomena Rotation Humans Compliance Robotics Algorithms Motion Robotic Surgical Procedures Biomedical Engineering
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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...
Computer Simulation Deep Learning Computational Biology Drug Repositioning Software
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