Quantitative pharmacology

Quantitative Pharmacology (QP) is an organized approach integrating individuals from different disciplines in a combined effort to develop quantitative models in order to solve specific, complex, and multivariate problems in drug development. QP translates the relationship(s) between disease, drug action, and individual variability into improved patient outcomes by leveraging improved teamwork and collaboration to enable quantitative decision-making processes from early discovery to late-stage development. QP encourages more transparent and objective study designs, as well as more data-driven risk-taking to optimize timelines, analyses, and decision-making, resulting in greater efficiency in the drug development process.

Benefits
Incorporation of QP methodologies will help:
 * gain a better understanding of the mechanism of drug-disease interactions and identify molecular targets with high probability of impacting disease (e.g., use of proteomics and cheminformatics in the development of drug-disease models)
 * select the ideal drug candidate in early drug development (e.g., integrated and mechanistic PK/PD models)
 * optimize clinical trials through modeling and clinical trial simulations
 * identify optimal patients and treatment regimens for particular drugs (e.g., development of Health Outcome models)