Predicting the clinical effect of a short acting bronchodilator in individual patients using artificial neural networks.

[1]  F. Tian,et al.  Comprehensive comparison of eight statistical modelling methods used in quantitative structure-retention relationship studies for liquid chromatographic retention times of peptides generated by protease digestion of the Escherichia coli proteome. , 2009, Journal of chromatography. A.

[2]  Q Shao,et al.  Data mining of fractured experimental data using neurofuzzy logic-discovering and integrating knowledge hidden in multiple formulation databases for a fluid-bed granulation process. , 2008, Journal of pharmaceutical sciences.

[3]  Hak-Kim Chan,et al.  In vitro/in vivo comparisons in pulmonary drug delivery. , 2008, Journal of aerosol medicine and pulmonary drug delivery.

[4]  Marcel de Matas,et al.  Evaluation of an in vitro in vivo correlation for nebulizer delivery using artificial neural networks. , 2007, Journal of pharmaceutical sciences.

[5]  S. Liggett Genetic variability of the β2 adrenergic receptor and asthma exacerbations , 2006, Thorax.

[6]  Peter York,et al.  Comparison of neurofuzzy logic and neural networks in modelling experimental data of an immediate release tablet formulation. , 2006, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[7]  I. Gonda Systemic delivery of drugs to humans via inhalation. , 2006, Journal of aerosol medicine : the official journal of the International Society for Aerosols in Medicine.

[8]  O. Usmani,et al.  Regional Lung Deposition and Bronchodilator Response as a Function of β2-Agonist Particle Size , 2005 .

[9]  D. Barlow,et al.  Artificial neural network prediction of the patterns of deposition of polydisperse aerosols within human lungs. , 2005, Journal of pharmaceutical sciences.

[10]  S. Underwood,et al.  Effects of bronchodilator particle size in asthmatic patients using monodisperse aerosols. , 2003, Journal of applied physiology.

[11]  O. Usmani,et al.  A system for the production and delivery of monodisperse salbutamol aerosols to the lungs. , 2003, International journal of pharmaceutics.

[12]  D. Barlow,et al.  Artificial Neural Network Prediction of Aerosol Deposition in Human Lungs , 2002, Pharmaceutical Research.

[13]  T. Niu,et al.  Familial aggregation of bronchodilator response: a community-based study. , 2000, American journal of respiratory and critical care medicine.

[14]  J. Heyder,et al.  Bronchial airway deposition and retention of particles in inhaled boluses: effect of anatomic dead space. , 1998, Journal of applied physiology.

[15]  S. Liggett Polymorphisms of the β2-Adrenergic Receptor and Asthma , 1997 .

[16]  A. Numa,et al.  Anatomic dead space in infants and children. , 1996, Journal of applied physiology.

[17]  P. Rees,et al.  Bronchodilator responses to salbutamol followed by ipratropium bromide in partially reversible airflow obstruction. , 1990, Respiratory medicine.

[18]  Morrow Pe An evaluation of the physical properties of monodisperse and heterodisperse aerosols used in the assessment of bronchial function. , 1981 .

[19]  K. Saunders,et al.  Influence of age on response to ipratropium and salbutamol in asthma. , 1981, Thorax.

[20]  R. V. Lourenço,et al.  Calculated deposition of inhaled particles in the airway generations of normal subjects. , 1979, Journal of applied physiology: respiratory, environmental and exercise physiology.

[21]  A. C. Young,et al.  Measurements of the dead space volume. , 1979, Journal of applied physiology: respiratory, environmental and exercise physiology.

[22]  Marcel de Matas,et al.  Evaluation of in vitro in vivo correlations for dry powder inhaler delivery using artificial neural networks. , 2008, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[23]  Ted B. Martonen,et al.  Flow simulation in the human upper respiratory tract , 2007, Cell Biochemistry and Biophysics.

[24]  R. Suedee,et al.  The study of in vitro-in vivo correlation: pharmacokinetics and pharmacodynamics of albuterol dry powder inhalers. , 2005, Journal of pharmaceutical sciences.

[25]  S. Underwood,et al.  Characterization of the generation of radiolabeled monodisperse albuterol particles using the spinning-top aerosol generator. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[26]  F. Lieutier-Colas [Deposition of particles in the respiratory tract]. , 2001, Allergie et immunologie.

[27]  J Bourquin,et al.  Application of artificial neural networks (ANN) in the development of solid dosage forms. , 1997, Pharmaceutical development and technology.

[28]  I. Katz,et al.  Deposition Patterns of Polydisperse Aerosols Within Human Lungs , 1993 .

[29]  P. Morrow An evaluation of the physical properties of monodisperse and heterodisperse aerosols used in the assessment of bronchial function. , 1981, Chest.