The development of innovative drugs is becoming more difficult
while relying on empirical approaches. This inspired all major
pharmaceutical companies to pursue alternative model-based
paradigms. The key question is: How to find innovative compounds
and, subsequently, appropriate dosage regimens?
Written from the industry perspective and based on many years of
experience, this book offers:
- Concepts for creation of drug-disease models, introduced and
supplemented with extensive MATLAB programs
- Guidance for exploration and modification of these programs to
enhance the understanding of key principles
- Usage of differential equations to pharmacokinetic,
pharmacodynamic and (patho-) physiologic problems thereby
acknowledging their dynamic nature
- A range of topics from single exponential decay to adaptive
dosing, from single subject exploration to clinical trial
simulation, and from empirical to mechanistic disease modeling.
Students with an undergraduate mathematical background or
equivalent education, interest in life sciences and skills in a
high-level programming language such as MATLAB, are encouraged to
engage in model-based pharmaceutical research and development.
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