Current practices for QSP model assessment: an IQ consortium survey

Area of Science:

• Pharmacology
• Computational Biology
• Drug Development

Background:

• Quantitative Systems Pharmacology (QSP) modeling is increasingly utilized in the pharmaceutical industry.
• Standardization of QSP model construction, assessment, and communication is crucial but challenging due to model variability and diverse expertise.
• The IQ Consortium surveyed industry practices to understand current QSP modeling approaches.

Purpose of the Study:

• To present the results of a survey on current Quantitative Systems Pharmacology (QSP) modeling practices within the pharmaceutical and biotechnology industries.
• To provide insights into the methods and applications of QSP models across different drug development stages.
• To identify key areas for future development in QSP modeling.

Main Methods:

• A survey was conducted across the pharmaceutical/biotech industry.
• Data collected focused on current practices, model types, and intended uses of QSP models.
• Results were analyzed to provide insights into practitioner methods.

Main Results:

• The survey revealed diverse current practices in QSP modeling across the industry.
• Insights were gained into methods used by QSP practitioners based on model type and application stage.
• Key areas for future development were highlighted, including integration with statistical methods and standardization.

Conclusions:

• Current QSP modeling practices vary significantly, necessitating further standardization.
• Future developments should focus on integrating statistical methods, standardizing virtual populations, and increasing QSP use in late-stage clinical development and regulatory submissions.