AIMC Topic: Computer Simulation
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Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.
Health security
Jan 1, 2019
The type of host that a virus can infect, referred to as host specificity or tropism, influences infectivity and thus is important for disease diagnosis, epidemic response, and prevention. Advances in DNA sequencing technology have enabled rapid meta...
Evolutionary Innovations and Where to Find Them: Routes to Open-Ended Evolution in Natural and Artificial Systems.
Artificial life
Jan 1, 2019
This article presents a high-level conceptual framework to help orient the discussion and implementation of open-endedness in evolutionary systems. Drawing upon earlier work by Banzhaf et al. (2016), three different kinds of open-endedness are identi...
Comparison of support vector machines based on particle swarm optimization and genetic algorithm in sleep staging.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2019
BACKGROUND: Heart rate variability (HRV) can reflect the relationship between heart rhythm and sleep structure.
Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2019
Accurately estimating performance accuracy of machine learning classifiers is of fundamental importance in biomedical research with potentially societal consequences upon the deployment of bestperforming tools in everyday life. Although classificatio...
Machine learning in multiexposure laser speckle contrast imaging can replace conventional laser Doppler flowmetry.
Journal of biomedical optics
Jan 1, 2019
Laser speckle contrast imaging (LSCI) enables video rate imaging of blood flow. However, its relation to tissue blood perfusion is nonlinear and depends strongly on exposure time. By contrast, the perfusion estimate from the slower laser Doppler flow...
Regional Blood Flow
Perfusion
Erythrocytes
Monte Carlo Method
Blood Flow Velocity
Lasers
Male
Humans
Laser-Doppler Flowmetry
Neural Networks, Computer
Computer Simulation
Reproducibility of Results
Adult
Machine Learning
Stochastic Processes
Microcirculation
Image Processing, Computer-Assisted
Models, Statistical
Calibration
Make robot motions natural.
Nature
Jan 1, 2019
Deep into Patient care: An automated deep learning approach for reshaping patient care in clinical setting.
Computer methods and programs in biomedicine
Jan 1, 2019
Virtual Screening Meets Deep Learning.
Current computer-aided drug design
Jan 1, 2019
BACKGROUND: Automated compound testing is currently the de facto standard method for drug screening, but it has not brought the great increase in the number of new drugs that was expected. Computer- aided compounds search, known as Virtual Screening,...
A Novel Amino Acid Sequence-based Computational Approach to Predicting Cell-penetrating Peptides.
Current computer-aided drug design
Jan 1, 2019
INTRODUCTION: Machine Learning is a useful tool for the prediction of cell-penetration compounds as drug candidates.
[The robot-assisted system YunSRobot for soft endoscopy: a trial of remote manipulation on simulation models].
Zhonghua nei ke za zhi
Dec 1, 2018
To evaluate the feasibility and safety of the robot-assisted system YunSRobot for remote manipulation endoscopy. When the master of YunSRobot was installed in the gastroenterology office in Chinese PLA General Hospital, the robot slave and upper ga...
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