Webinar

Rapid evolution of generative artificial intelligence (AI) is transforming the landscape of human-machine interaction across numerous disciplines, pharmacometrics included. Yet its practical adoption remains uneven, driven by uncertainty around which tools to use, when to trust them, and how to integrate them responsibly into scientific workflows. In this webinar, we will survey the diversity and critically evaluate AI tools available to pharmacometricians today and discuss a practical framework for leveraging AI across key steps of the modeling workflow – from data mining and code generation to model building and reporting.

Rapid evolution of generative artificial intelligence (AI) is transforming the landscape of human-machine interaction across numerous disciplines, pharmacometrics included. Yet its practical adoption remains uneven, driven by uncertainty around which tools to use, when to trust them, and how to integrate them responsibly into scientific workflows. In this webinar, we will survey the diversity and critically evaluate AI tools available to pharmacometricians today and discuss a practical framework for leveraging AI across key steps of the modeling workflow – from data mining and code generation to model building and reporting.

Rapid evolution of generative artificial intelligence (AI) is transforming the landscape of human-machine interaction across numerous disciplines, pharmacometrics included. Yet its practical adoption remains uneven, driven by uncertainty around which tools to use, when to trust them, and how to integrate them responsibly into scientific workflows. In this webinar, we will survey the diversity and critically evaluate AI tools available to pharmacometricians today and discuss a practical framework for leveraging AI across key steps of the modeling workflow – from data mining and code generation to model building and reporting.