Generative AI Use Cases: The Pharmaceutical Resource Guide
Generative AI Use Cases are moving from isolated pharmaceutical experiments into governed workflows spanning discovery, clinical development, regulatory affairs, pharmacovigilance, and manufacturing. The useful question is no longer whether a foundation model can draft text or propose a molecule. Practitioners need to know which resources help them select defensible use cases, connect models to validated evidence, evaluate output quality, and operate within GxP controls. This guide organizes that resource landscape around the decisions research-based biopharmaceutical teams actually make. A practical starting point is this overview of Generative AI Use Cases , which maps the technology to pharmaceutical workflows rather than treating it as a general-purpose writing assistant. Use such maps to establish a shared vocabulary across data science, medicinal chemistry, clinical development, quality, safety, and regulatory functions. The most valuable resources are those that help multidiscip...