Evaluation of in vitro in vivo correlations for dry powder inhaler delivery using artificial neural networks

2008 ◽  
Vol 33 (1) ◽  
pp. 80-90 ◽  
Author(s):  
Marcel de Matas ◽  
Qun Shao ◽  
Catherine H. Richardson ◽  
Henry Chrystyn
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Dry Powder Inhaler ◽  
Dry Powder ◽  
Artificial Neural

Evaluation of an in vitro in vivo correlation for nebulizer delivery using artificial neural networks

2007 ◽  
Vol 96 (12) ◽  
pp. 3293-3303 ◽  
Author(s):  
Marcel de Matas ◽  
Qun Shao ◽  
Victoria Louise Silkstone ◽  
Henry Chrystyn
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural

scholarly journals Artificial Neural Network in Drug Delivery and Pharmaceutical Research

2013 ◽  
Vol 7 (1) ◽  
pp. 49-62 ◽  
Author(s):  
Vijaykumar Sutariya ◽  
Anastasia Groshev ◽  
Prabodh Sadana ◽  
Deepak Bhatia ◽  
Yashwant Pathak
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Drug Delivery ◽  
Pattern Recognition ◽  
Analytical Data ◽  
Pharmaceutical Research ◽  
Artificial Neural ◽  
The Brain

Artificial neural networks (ANNs) technology models the pattern recognition capabilities of the neural networks of the brain. Similarly to a single neuron in the brain, artificial neuron unit receives inputs from many external sources, processes them, and makes decisions. Interestingly, ANN simulates the biological nervous system and draws on analogues of adaptive biological neurons. ANNs do not require rigidly structured experimental designs and can map functions using historical or incomplete data, which makes them a powerful tool for simulation of various non-linear systems.ANNs have many applications in various fields, including engineering, psychology, medicinal chemistry and pharmaceutical research. Because of their capacity for making predictions, pattern recognition, and modeling, ANNs have been very useful in many aspects of pharmaceutical research including modeling of the brain neural network, analytical data analysis, drug modeling, protein structure and function, dosage optimization and manufacturing, pharmacokinetics and pharmacodynamics modeling, and in vitro in vivo correlations. This review discusses the applications of ANNs in drug delivery and pharmacological research.

QSAR analysis of time-and dose-dependent in vivo drug effects using artificial neural networks

1993 ◽  
pp. 546-549 ◽  
Author(s):  
Klaus-Jürgen Schapper ◽  
Michael Wiese ◽  
Reinhold Dieter ◽  
Peter Emig ◽  
Jürgen Engel ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Drug Effects ◽  
Qsar Analysis ◽  
Artificial Neural ◽  
Dose Dependent
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