Takeda Knowledge Extraction tool

This concept envisions a pharmaceutical research initiative to develop an AI-powered knowledge extraction tool that enables users to create a report by defining a data schema, allowing the AI to extract data from, in some cases, hundreds of files.

Proposed Solution: The study aims to develop an AI algorithm using natural language processing and machine learning to streamline data extraction processes by automating information extraction, analysis, and synthesis.

Expected Benefits:

• Reduce manual labor across SLRs, TLRs, and rapid reviews

• Enable faster turnaround times for urgent requests

• Allow users to focus on analysis and interpretation rather than data collection

• Maintain scientific rigor while improving efficiency

The goal is to develop a fit-for-purpose AI tool that delivers timely literature synthesis to support evidence-based decision-making in pharmaceutical research.