NextGen Medical Affairs - Medical Response and Literature Review with GenAI

Explore a 31-minute conference talk on NextGen Medical Affairs, focusing on medical response and literature review using Generative AI. Learn how Vertex Pharmaceuticals leveraged Databricks to build an NLP platform that processes unstructured data from sources like Scopus, Pubmed, and Snowflake. Discover the implementation of the Medallion architecture for data extraction, the use of multiple models for insight generation, and the application of JSL & LLM models for key word extraction and text summarization. Gain insights into the development of visualization techniques using NLP, JSL, and LLM models to enhance searchability and relationship identification in a question-answer bot. Understand how NLP models in Databricks are utilized to cleanse and maintain data from MSL and medical sources, providing valuable insights for client strategy and medical affairs teams. Presented by Unmesh Kulkarni, Senior Vice President of Generative AI at Tredence, and Mathias Faux, Director of Analytics and Innovation at Vertex Pharmaceuticals.

NextGen Medical Affairs: Medical Response and Literature Review with GenAI