Whitepaper: Redefining Clinical Trial Decision-Making: Leveraging NLP for extracting insights from unstructured data

Leveraging next-gen technologies such as NLP in data ingestion and extraction, can enable systems to seamlessly extract and analyse such free texts.

With the advancements in natural language techniques and the recent developments in Large Language Models (LLMs), they can be used to solve this use case. LLM fine-tuned on a dataset, can act as a building point for multiple point solutions. The LLMs in instruction following mode can be used to perform certain tasks over the MVR documents like extracting specific information and insights and then creating a summary out of the given data. 

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Saurabh Das- Head, TCS ADD™ Research and Innovations; Sushil Kumar Singh- Associate Consultant, TCS ADD™ Analytics and Insights; Niketan Panchal- Researcher, TCS ADD™ Analytics and Insights; Rajasekhar Gadde- Researcher, TCS ADD™ Analytics and Insights; Rohit Kadam- Researcher, TCS ADD™ Analytics and Insights.