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Computer Simulation
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Computational prediction of plasma protein binding of cyclic peptides from small molecule experimental data using sparse modeling techniques.
BMC bioinformatics
Dec 31, 2018
BACKGROUND: Cyclic peptide-based drug discovery is attracting increasing interest owing to its potential to avoid target protein depletion. In drug discovery, it is important to maintain the biostability of a drug within the proper range. Plasma prot...
A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization.
IEEE transactions on neural networks and learning systems
Dec 28, 2018
This paper presents a two-timescale duplex neurodynamic system for constrained biconvex optimization. The two-timescale duplex neurodynamic system consists of two recurrent neural networks (RNNs) operating collaboratively at two timescales. By operat...
Passivity and Synchronization of Coupled Uncertain Reaction-Diffusion Neural Networks With Multiple Time Delays.
IEEE transactions on neural networks and learning systems
Dec 25, 2018
This paper presents a complex network model consisting of N uncertain reaction-diffusion neural networks with multiple time delays. We analyze the passivity and synchronization of the proposed network model and derive several passivity and synchroniz...
Broadening the Perspective of Cost-Effectiveness Modeling in Chronic Obstructive Pulmonary Disease: A New Patient-Level Simulation Model Suitable to Evaluate Stratified Medicine.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Dec 20, 2018
OBJECTIVES: To develop a health economic model that included a great diversity of patient characteristics and outcomes for chronic obstructive pulmonary disease (COPD), which can be used to inform decisions about stratified medicine in COPD.
'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification.
eLife
Dec 20, 2018
Deep networks provide a potentially rich interconnection between neuroscientific and artificial approaches to understanding visual intelligence, but the relationship between artificial and neural representations of complex visual form has not been el...
Stability Analysis for Delayed Neural Networks via Improved Auxiliary Polynomial-Based Functions.
IEEE transactions on neural networks and learning systems
Dec 18, 2018
This brief is concerned with stability analysis for delayed neural networks (DNNs). By establishing polynomials and introducing slack variables reasonably, some improved delay-product type of auxiliary polynomial-based functions (APFs) is developed t...
Similarity-based machine learning support vector machine predictor of drug-drug interactions with improved accuracies.
Journal of clinical pharmacy and therapeutics
Dec 18, 2018
WHAT IS KNOWN AND OBJECTIVE: Drug-drug interactions (DDI) are frequent causes of adverse clinical drug reactions. Efforts have been directed at the early stage to achieve accurate identification of DDI for drug safety assessments, including the devel...
A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.
IEEE journal of biomedical and health informatics
Dec 17, 2018
Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed adaptive basal-bolus algorithm (ABBA) supports inputs from either SMBG...
Brain-inspired automated visual object discovery and detection.
Proceedings of the National Academy of Sciences of the United States of America
Dec 17, 2018
Despite significant recent progress, machine vision systems lag considerably behind their biological counterparts in performance, scalability, and robustness. A distinctive hallmark of the brain is its ability to automatically discover and model obje...
Asynchronous Multiplex Communication Channels in 2-D Neural Network With Fluctuating Characteristics.
IEEE transactions on neural networks and learning systems
Dec 14, 2018
Neurons behave like transistors, but have fluctuating characteristics. In this paper, we show that several asynchronous multiplex communication channels can be established in a 2-D mesh neural network with randomly generated weights between eight nei...
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