Part 3/11:
The COVID-19 pandemic underscored how rapid advancements (such as mRNA vaccine development) were possible, heavily accelerated by AI and other enabling technologies. This period demonstrated that with the right tools, the traditionally protracted process can be expedited without compromising safety or efficacy.
AI and Data Science: Supporting the Pharma Ecosystem
Representatives Gopinath, Denesh, and Shana detailed how data science fundamentally supports every phase of the drug lifecycle:
- Drug Discovery & Clinical Development: Leveraging NLP tools and large language models (LLMs), organizations sift through vast scientific publications and data to identify promising compounds and patient populations efficiently.