The biopharmaceutical industry is experiencing a critical stage of innovation as teams invest in in silico approaches to virtualize trials and accelerate time to market. For Certara, this innovation is converging between generative AI and quantitative systems pharmacology (QSP). As demand for QSP grows, it presents a unique opportunity for pharmaceutical companies to rethink their approach to building, maintaining, and reporting on results identified within a mechanistic model.

Our Certara experts, Sean McGee and Joshua Apgar deliver an educational session on approaches for generative AI within QSP model life cycle, including:

• Adding and summarizing evidence to support mechanistic models
• Code generation for model design
• Automating report generation with specialized prompts and templates