Neural Expert System for Pharmaceutical Formulation Development — Focus on Solid Dispersions

  • Aleksander Mendyk
  • Renata Jachowicz
  • Anna Błasiak
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)


Neural network-based expert system was created for improvement of pharmaceutical formulation development process. The knowledge database for this system was created from original, experimental data as well as from literature data. Different models for soluble and poorly soluble drugs were trained and tested. Best results were found when specific, pharmaceutical criterions were used to split base dataset in order to create more specialized neural models predicting behavior of some, well defined class of excipients. ANN function as a PharmCAD system (Pharmaceutical Computer Aided Design) was confirmed.


Training Dataset Solid Dispersion Physical Mixture Ethyl Cellulose Soluble Drug 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Aleksander Mendyk
    • 1
  • Renata Jachowicz
    • 1
  • Anna Błasiak
    • 1
  1. 1.Department of Pharmaceutical Technology and BiopharmaceuticsFaculty of Pharmacy Jagiellonian UniversityCracowPoland

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