AIMC Topic:
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Harnessing adaptive novelty for automated generation of cancer treatments.
Bio Systems
Nov 17, 2020
Nanoparticles have the potential to modulate both the pharmacokinetic and pharmacodynamic profiles of drugs, thereby enhancing their therapeutic effect. The versatility of nanoparticles allows for a wide range of customization possibilities. However,...
Dendrite P Systems Toolbox: Representation, Algorithms and Simulators.
International journal of neural systems
Nov 16, 2020
Dendrite P systems (DeP systems) are a recently introduced neural-like model of computation. They provide an alternative to the more classical spiking neural (SN) P systems. In this paper, we present the first software simulator for DeP systems, and ...
Leveraging machine learning for predicting human body model response in restraint design simulations.
Computer methods in biomechanics and biomedical engineering
Nov 12, 2020
The objective of this study was to leverage and compare multiple machine learning techniques for predicting the human body model response in restraint design simulations. Parametric simulations with 16 independent variables were performed. Ordinary l...
Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia-Challenges, strengths, and opportunities in a global health emergency.
PloS one
Nov 12, 2020
AIMS: The aim of this study was to estimate a 48 hour prediction of moderate to severe respiratory failure, requiring mechanical ventilation, in hospitalized patients with COVID-19 pneumonia.
Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems.
Neural networks : the official journal of the International Neural Network Society
Nov 11, 2020
In this paper, a local tracking control (LTC) scheme is developed via particle swarm optimized neural networks (PSONN) for unknown nonlinear interconnected systems. With the local input-output data, a local neural network identifier is constructed to...
Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records.
International journal of environmental research and public health
Nov 10, 2020
Electronic health record (EHR) data are widely used to perform early diagnoses and create treatment plans, which are key areas of research. We aimed to increase the efficiency of iteratively applying data-intensive technology and verifying the result...
Generation of 2-mode scale-free graphs for link-level internet topology modeling.
PloS one
Nov 9, 2020
Comprehensive analysis that aims to understand the topology of real-world networks and the development of algorithms that replicate their characteristics has been significant research issues. Although the accuracy of newly developed network protocols...
[A brief history of artificial intelligence].
Medecine sciences : M/S
Nov 5, 2020
For more than a decade, we have witnessed an acceleration in the development and the adoption of artificial intelligence (AI) technologies. In medicine, it impacts clinical and fundamental research, hospital practices, medical examinations, hospital ...
A Multifeature Extraction Method Using Deep Residual Network for MR Image Denoising.
Computational and mathematical methods in medicine
Nov 5, 2020
In order to improve the resolution of magnetic resonance (MR) image and reduce the interference of noise, a multifeature extraction denoising algorithm based on a deep residual network is proposed. First, the feature extraction layer is constructed b...
Personalized computed tomography - Automated estimation of height and weight of a simulated digital twin using a 3D camera and artificial intelligence.
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Nov 3, 2020
PURPOSE: The aim of this study was to develop an algorithm for automated estimation of patient height and weight during computed tomography (CT) and to evaluate its accuracy in everyday clinical practice.
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