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THEORY 1.
a. Computers in Pharmaceutical Research and Development: A General Overview: History of Computers in Pharmaceutical Research and Development. Statistical modeling in Pharmaceutical research and development: Descriptive versus Mechanistic Modeling, Statistical Parameters, Estimation, Confidence Regions, Nonlinearity at the Optimum, Sensitivity Analysis, Optimal Design, Population Modeling b. Quality-by-Design In Pharmaceutical Development:
Introduction, ICH Q8 guideline, Regulatory and industry views on QbD, Scientifically based QbD - examples of application.
Computational Modeling Of Drug Disposition:
Introduction ,Modeling Techniques:
Drug Absorption, Solubility, Intestinal Permeation, Drug Distribution ,Drug Excretion, Active Transport; P-gp, BCRP, Nucleoside Transporters, hPEPT1, ASBT, OCT, OATP, BBB-Choline Transporter.
Hrs Hrs Computer-aided formulation development::
Concept of optimization, Optimization parameters, Factorial design, Optimization technology & Screening design.
Computers in Pharmaceutical Formulation:
Development of pharmaceutical emulsions, microemulsion drug carriers Legal Protection of Innovative Uses of Computers in R&D, The Ethics of Computing in Pharmaceutical Research, Computers in Market analysis a. Computer-aided biopharmaceutical characterization:
Gastrointestinal absorption simulation. Introduction, Theoretical background, Model construction, Parameter sensitivity analysis, Virtual trial, Fed vs. fasted state, In vitro dissolution and in vitro- in vivo correlation, Biowaiver considerations b. Computer Simulations in Pharmacokinetics and Pharmacodynamics: Introduction, Computer Simulation: Whole Organism, Isolated Tissues, Organs, Cell, Proteins and Genes.
c. Computers in Clinical Development: Clinical Data Collection and Management, Regulation of Computer Systems Artificial Intelligence (AI), Robotics and Computational fluid dynamics:
General overview, Pharmaceutical Automation, Pharmaceutical applications, Advantages and Disadvantages.
Current Challenges and Future Directions.
Hrs Hrs Hrs
As per the latest IPU syllabus — cross-check electives with your college.
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Computer Aided Drug Development (MPH203T) is a semester 2 subject in the IPU M.Pharm M.Pharm (Pharmaceutics) (M.Pharm (MPH)) curriculum.
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