Synopses & Reviews
Synopsis
Non-linear phenomena pervade the pharmaceutical sciences. Understanding the interface between each of these phenomena and the way in which they contribute to overarching processes such as pharmaceutical product development may ultimately result in more efficient, less costly and rapid implementation. The benefit to Society is self-evident in that affordable treatments would be rapidly forthcoming. We have aggregated these phenomena into one topic "Pharmaco-complexity: Non-linear Phenomena and Drug Product Development".
Synopsis
1. Introduction
The nature of complexity and relevance to the pharmaceutical sciences
2. Chemistry and Thermodynamics
- Chemical Reactions
- Surface and Interfacial Chemistry
i. Aggregation
ii. Protein Structure
iii. Receptor Interactions
- Statistical Mechanics
Solid State
3.1 Statics
- Morphology
- Association
- Population Structure
3.2 Dynamics
a Aggregation
b. Flow
c. Dispersion
4. Quality by Design
4.1 Statistics and Experimental Design
4.2 Process Design and Control
4.3 Risk Assessment and Management
5. Pharmacokinetics and Pharmacodynamics
5.1 Pharmacokinetics/Toxicokinetics
a. Physiologically relevant modeling
b. Compartmental Modeling
5.2 Efficacy/Safety
a. Indirect measures of pharmaco-/toxico-dynamics
b. Direct measures of pharmaco-/toxico-dynamics
Population Biology
- Incidence of disease
- Intervention
Machine Learning
Models
i. Stochastic
ii. Deterministic
iii. Neural Networks
- Data Mining, correlations and AI
Conclusion
References
Index.