AI Research Assistant for Healthcare R&D

This document is a guide that outlines the Thoughtworks methodology for enhancing research and development (R&D) in the healthcare and life sciences (HCLS) sectors through the use of AI. It discusses the challenges faced by R&D teams, including knowledge management, data privacy, and the complexities of managing vast amounts of data. The guide presents the Thoughtworks R&D digital assistant, a multi-agent platform designed to streamline knowledge retrieval, interpretation, and creation processes. By leveraging AI, the digital assistant aims to transform how R&D teams access and utilize knowledge, thereby improving productivity and efficiency. The document details the significant challenges in R&D, such as data fragmentation and the need for compliance with FAIR data principles. It also emphasizes the importance of enabling R&D teams to communicate effectively with their data, which can lead to faster and more accurate decision-making. Overall, the guide highlights the potential of AI to revolutionize R&D practices in the healthcare industry.