In vitro and in vivo performance modelling and optimisation of different dry powder inhalers: A complementary study of neural networks, genetic algorithms and decision trees.

Ahmed M A AliHossam M ZawbaaOssama M SayedHadeer S Harb Haitham Saeed Marian S BoshraAhmed G AlmeldienRanda Salah EldinAhmed A ElberryNada Sayed AbdelwahabMohamed Nabil SalemHoda RabeaWaleed WaelRaghda R S Hussein Rania M SarhanWaleed RamadanYasmin M Madney Mohamed E A Abdelrahim

Published in: International journal of clinical practice (2020)

Modelling of the input data showed a good differentiating and prediction power for both in vitro and in vivo models. The results of the modelling refer to the high efficacy of Diskus followed by Turbohaler for delivering aerosol. With two inhalations, the three DPIs showed an increase in the percent of drug excreted at slow inhalations.

Keyphrases

neural network
machine learning
big data
electronic health record
deep learning
magnetic resonance imaging
gene expression
copy number
computed tomography
contrast enhanced
drug induced
adverse drug