Main description:

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".

Contents:

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.