digiM Webinar: Leveraging Generative AI for Wholistic and Robust Formulation Optimization

Unlocking GAN-Powered Insights for Pharmaceutical Product Development

As the pharmaceutical industry embraces digital transformation, integrating Generative Adversarial Networks (GANs) offers a powerful approach to optimizing drug product design and manufacturing. This webinar will showcase how GAN-driven texture synthesis enables researchers to generate high-fidelity microstructures from real-world imaging data, create new formulations, and simulate dissolution and release profiles—all within a Quality by Design (QbD) framework.

By demonstrating AI-powered workflows in microstructural imaging and analysis, we will highlight how GAN technology streamlines drug product characterization, reduces experimental burdens, and enhances predictive modeling for pharmaceutical scientists.

Key Learning Objectives:

In this webinar, you will learn:

1. How to leverage GAN-based texture synthesis to generate microstructures from imaging data and expand formulation possibilities.
2. Strategies for using AI to predict drug product performance, including dissolution and release simulations.
3. An action plan to integrate generative AI into your R&D workflows, including:
   • Step 1: Assessing and analyzing your existing imaging and formulation data for AI integration.
   • Step 2: Implementing GAN-driven workflows for furthering structural and functional analysis.
   • Step 3: Connecting CQA analysis with formulation and product performance through QbD

Join us to explore how GAN technology is reshaping pharmaceutical development and gain actionable insights for your own AI-driven initiatives.

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