Large Language Models and Their Applications in Drug Discovery and Development: A Primer
James Lu, Keunwoo Choi, Maksim Eremeev, Jogarao Gobburu, Srijib Goswami, Qi Liu, Gary Mo, Cynthia J. Musante, Mohamed H. Shahin
Abstract
Large language models (LLMs) have emerged as powerful tools in many fields, including clinical pharmacology and translational medicine. This paper aims to provide a comprehensive primer on the applications of LLMs to these disciplines. We will explore the fundamental concepts of LLMs, their potential applications in drug discovery and development processes ranging from facilitating target identification to aiding preclinical research and clinical trial analysis, and practical use cases such as assisting with medical writing and accelerating analytical workflows in quantitative clinical pharmacology. By the end of this paper, clinical pharmacologists and translational scientists will have a clearer understanding of how to leverage LLMs to enhance their research and development efforts.