Developing better products faster

Posters

The following posters have been presented at various international conferences and symposia. PDF versions of the posters denoted by (*) can be downloaded. Some of these posters used INForm and FormRules (artificial intelligence/evolutionary computing) while others used our simulation program MacroPac.

• Identification of potential biomarkers associated with induced stress in rats using artificial intelligence technologies, Q Shao, L Li, P York and G A Luo, AAPS 2009 (*)

• Polymorphism from a solution perspective: Rationalisation at the molecular level, V M. Fawcett, G. A. Hembury, B. M. Sattelle, J. McCabe, S.  L. M. Schroeder and R. J. Davey, American Crystallographic Association meeting, Toronto, July 2009 and British Association for Crystal Growth meeting, Bristol, September 2009
  

• Predicting weight variations of pelletized systems filled with an automated capsule filling machine, A M Abdel Haleem, M de Matas, P York and R C Rowe, AAPS 2008

• The effect of relative particle size and deformation behaviour on the consolidation of binary powder mixtures, R C Gibb, R C Rowe, P York and P W Stott, British Pharmaceutical Conference, September 2008

• Simulation and experimental studies of packing characteristics of pellets and effects on the consistency of capsule filling ,A M Abdel Haleem, M de Matas , P York and R Rowe, British Pharmaceutical Conference , Manchester, September 2007 (*)

• Comparing computer simulation with experimental packing of pharmaceutical pellets into hard gelatin capsules, A M Abdel Haleem, M de Matas, P York and R C Rowe, AAPS 2007 (*)

• Application of Neurofuzzy Logic and Parallel Coordinate Techniques in Pan Coating Process Data Analysis, Yingxu Peng, Sandy Hopkins, Lori Pester and J Richard Creekmore, AAPS 2007 (*)



• Artificial Neural Network Modeling and Optimization of Shampoo Formulations, Sevinç Evren, Gülşah Gedik, Elizabeth Colbourn and Murat Türkoğlu, ICOS2007, Istanbul, Turkey, June 2007 (*)



• Comparison of two data mining strategies in generating knowledge from an effervescent tablet formulation database with limited data using artificial neural networks and neurofuzzy logic, Q Shao, R C Rowe and P York, Pharmaceutical Sciences World Congress, Amsterdam, April 2007 (*)



• Artificial neural networks applied to in-vitro in-vivo correlation for dry powder inhalers, Q Shao, M de Matas, C H Richardson and H Chrystyn, Pharmaceutical Sciences World Congress, Amsterdam, April 2007 (*)



• Decision Support in the Preparation of Spherical Pellets using Advanced Computational Techniques, E A Colbourn, R C Rowe and P York, First pan-European PAT Science Conference: Scientific Progress Underpining Process Analytical Technology, Goteburg, Sweden, November 2006 (*)
  
  
• The Effect of Particle Size and Deformation Mechanism on the Consolidation Behaviour of Mixtures of Microcrystalline Cellulose and Lactose Monohydrate, R C Gibb, R C Rowe, P York and P W Stott, British Pharmaceutical Conference, Manchester, UK, September 2006 (*)
  
  
• Modelling Formulations of Insulin-loaded Nanoparticles using Neural Computing, E A Colbourn, R C Rowe and P York, International Pharmaceutical Technology Symposium, Antalya, Turkey, September 2006 (*)
  
  
• Predicting Colour Differences of Coated Spheroids using Small-Scale Coating Equipment and Artificial Intelligence Technologies, T Suzuki, R Rowe and P York, AAPS 2005 (*)
  
  
• Rule/knowledge Generation in Small-Scale Fluid-Bed Granulation using Neurofuzzy Logic, Q Shao, R Rowe and P York, Formula IV, London 2005 (*)
  
  
• Modelling and Optimization of Suspension Formulations using Neural Computing, E A Colbourn, S J Roskilly and R C Rowe, Formula IV, London 2005 (*)
  
  
• Optimising the Predictive Ability of Artificial Neural Networks, A P Plumb, R C Rowe, P York and M Brown, British Pharmaceutical Conference 2004(*)
  
  
• Optimizing Release Profiles in Controlled Release Tablets, R C Rowe, E A Colbourn and S J Roskilly, Controlled Release Society, June 2004 (*)
  
  
• Rule/knowledge generation in small-scale fluid bed granulation using neurofuzzy logic, Q Shao, R C Rowe and P York, Pharmaceutical Sciences World Congress, Japan, May 2004 (*)
  
  
• A Comparison of Data Mining Technologies in modelling Controlled Release Tablet Formulations, R C Rowe, E A Colbourn and S J Roskilly, Controlled Release Society, July 2003 (*)
  
  
• A Comparison of Data Mining Technologies in modelling Tablet Formulation, Q Shao, R C Rowe, P York, and E A Colbourn, AAPS, 2002 (*)

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