Author: James Lu, PhD on September 09, 2025 
What if your next thought partner was an artificial intelligence (AI) trained on billions of words—and it could help you write protocols, interpret data, and even generate hypotheses? Would it make you ask bigger questions, take bolder risks, and rethink what’s possible in translational science? Large language models (LLMs), like ChatGPT, are no longer just tech-world curiosities; they’re increasingly making their way into drug discovery and clinical development. In this new Clinical and Translational Science primer article, the authors walk through how LLM models work, what makes them so powerful, and most importantly—how they’re already being used across the R&D pipeline.
From enhancing target identification to assisting with medical writing and automating analytical workflows in quantitative clinical pharmacology, LLMs are rapidly becoming indispensable tools for translational scientists. Whether you're AI-curious or AI-skeptical, this paper offers an accessible roadmap for harnessing the potential of LLMs in your own work. Read and see how LLM might help you write the future of clinical pharmacology and translational science!
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