AIMC Topic:
Computer Simulation

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Lyapunov Theory-Based Fusion Neural Networks for the Identification of Dynamic Nonlinear Systems.

International journal of neural systems Apr 21, 2019
This paper introduces a novel fusion neural architecture and the use of a novel Lyapunov theory-based algorithm, for the online approximation of the dynamics of nonlinear systems. The proposed neural system, in combination with the proposed update ru...
Algorithms Computer Simulation Nonlinear Dynamics Neural Networks, Computer Machine Learning
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In silico prediction of drug-induced rhabdomyolysis with machine-learning models and structural alerts.

Journal of applied toxicology : JAT Apr 21, 2019
Drug-induced rhabdomyolysis (DIR) is a serious adverse reaction and can be fatal. In the present study, we focused on the modeling and understanding of the molecular basis of DIR of small molecule drugs. A series of machine-learning models were devel...
Models, Biological Quantitative Structure-Activity Relationship Small Molecule Libraries Models, Chemical Rhabdomyolysis Pharmaceutical Preparations Humans Machine Learning Computer Simulation
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Derivation of an optimal trajectory and nonlinear adaptive controller design for drug delivery in cancerous tumor chemotherapy.

Computers in biology and medicine Apr 19, 2019
Numerous models have investigated cancer behavior by considering different factors in chemotherapy. The subject of a controller design approach for these models in order to find the best rate of drug injection during the course of treatment has recen...
Neoplasms Models, Biological Humans Nonlinear Dynamics Neural Networks, Computer Antineoplastic Agents Computer Simulation
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Exploiting machine learning for end-to-end drug discovery and development.

Nature materials Apr 18, 2019
A variety of machine learning methods such as naive Bayesian, support vector machines and more recently deep neural networks are demonstrating their utility for drug discovery and development. These leverage the generally bigger datasets created from...
Humans Neural Networks, Computer Machine Learning Support Vector Machine Drug Repositioning Bayes Theorem Drug Discovery Nanomedicine Algorithms Computational Biology Computer Simulation Technology, Pharmaceutical Drug Development Drug Design
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Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks.

International journal of computer assisted radiology and surgery Apr 16, 2019
PURPOSE: In surgical navigation, pre-operative organ models are presented to surgeons during the intervention to help them in efficiently finding their target. In the case of soft tissue, these models need to be deformed and adapted to the current si...
Phantoms, Imaging Organ Motion Humans Computer Simulation Neural Networks, Computer Computer Systems Liver
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Development of Simplified in Vitro P-Glycoprotein Substrate Assay and in Silico Prediction Models To Evaluate Transport Potential of P-Glycoprotein.

Molecular pharmaceutics Apr 16, 2019
For efficient drug discovery and screening, it is necessary to simplify P-glycoprotein (P-gp) substrate assays and to provide in silico models that predict the transport potential of P-gp. In this study, we developed a simplified in vitro screening m...
Drug Evaluation, Preclinical Central Nervous System Agents Transfection Drug Discovery Swine ATP Binding Cassette Transporter, Subfamily B, Member 1 Protein Transport Intestinal Absorption Machine Learning ATP Binding Cassette Transporter, Subfamily B LLC-PK1 Cells Computer Simulation Biological Availability Reproducibility of Results Data Accuracy Animals Cell Membrane Permeability
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Estimating the Population Average Treatment Effect in Observational Studies with Choice-Based Sampling.

The international journal of biostatistics Apr 16, 2019
We consider causal inference in observational studies with choice-based sampling, in which subject enrollment is stratified on treatment choice. Choice-based sampling has been considered mainly in the econometrics literature, but it can be useful for...
Likelihood Functions Machine Learning Computer Simulation Observational Studies as Topic Models, Statistical Humans Sample Size Data Interpretation, Statistical
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Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space.

Frontiers in immunology Apr 16, 2019
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunotherapies. However, the underlying principles of this "convergence" of adaptive immunity among different...
Immunodominant Epitopes Computational Biology Thermodynamics T-Lymphocytes Humans Major Histocompatibility Complex Datasets as Topic Epitopes, T-Lymphocyte Machine Learning Antigen Presentation Adaptive Immunity Receptors, Antigen, T-Cell Computer Simulation
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Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade.

Journal of the American College of Radiology : JACR Apr 12, 2019
PURPOSE: Osteoporosis is an underdiagnosed condition despite effective screening modalities. Dual-energy x-ray absorptiometry (DEXA) screening, although recommended in clinical guidelines, remains markedly underutilized. In contrast to DEXA, CT utili...
Bone Density Osteoporosis Tomography, X-Ray Computed Humans Computer Simulation Sensitivity and Specificity Male Middle Aged Deep Learning Female Aged Aged, 80 and over Lumbar Vertebrae Absorptiometry, Photon
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Improving the Antinoise Ability of DNNs via a Bio-Inspired Noise Adaptive Activation Function Rand Softplus.

Neural computation Apr 12, 2019
Although deep neural networks (DNNs) have led to many remarkable results in cognitive tasks, they are still far from catching up with human-level cognition in antinoise capability. New research indicates how brittle and susceptible current models are...
Neural Networks, Computer Pattern Recognition, Automated Humans Computer Simulation Photic Stimulation Models, Biological
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