CPhaMAS: The first pharmacokinetic analysis cloud platform developed by China

Area of Science:

• Pharmacology
• Computational Biology
• Biostatistics

Background:

• Pharmacological modeling and statistical analysis are critical for drug development and personalized medicine.
• Existing software often presents a steep learning curve for users.
• There is a need for accessible, cloud-based solutions in pharmacokinetic analysis.

Purpose of the Study:

• To develop a cloud-based pharmacokinetic analysis platform (CPhaMAS) with an intuitive interface.
• To leverage cloud computing for enhanced accessibility and reduced user hardware requirements.
• To provide a user-friendly tool for drug development and individualized treatment modeling.

Main Methods:

• Developed using Ruby on Rails, Julia, and PostgreSQL 14.
• Integrated modules for non-compartmental analysis, bioequivalence/bioavailability, compartment modeling, and population pharmacokinetics.
• Implemented robust data security, traceability, and underwent comprehensive testing.

Main Results:

• CPhaMAS successfully implemented all four core functionalities with a 100% basic functionality completion rate.
• The platform offers online data analysis, reducing storage and performance demands.
• Achieved over 99% annual uptime, sub-500ms response times, and low CPU usage, validated by a case study.

Conclusions:

• CPhaMAS serves as an integrated, cloud-based tool for pharmacokinetic modeling and statistical analysis.
• It empowers educators, researchers, and industry professionals with accessible tools for various analyses.
• The platform facilitates non-compartmental analysis, bioequivalence studies, and advanced pharmacokinetic modeling.