Client Objective
Ready. Set. Go. A leading biotechnology company wanted to improve its decision-making to drive drug and clinical trial innovation and help more patients. They dreamt of information that could help them easily jump through regulatory approvals and overcome clinical trial design hurdles.
Unique Challenge
The pitfall of too much data. To make better decisions, the team needed to extract information from many global regulatory sources. This vast set of documents contained a wealth of unstructured data that was difficult and time-consuming to get information from. They were tripping over endless information and their speed was sluggish at best.
Bespoke Solution
On the right track. Unify applied the latest natural language processing (NLP) techniques utilizing Large Language Model (LLM) capabilities and concepts to extract information from unstructured documents and represent this data as a knowledge graph. The team could quickly mine publicly available knowledge sources and query FDA data about specific drugs and find information related to regulatory filing events faster than ever before. The team was also empowered with a chatbot that answered questions about the regulatory and clinical trial landscape.
Proven Impact
Focusing on the finish line. With better insights into the regulatory landscape, the client can now respond to regulatory questions with faster cycle times. The chat informs their strategy and enables them to launch drugs first where the market is less saturated. They can better forecast how quickly the approval process will move so they can smoothly time investments and efforts.
To learn more about Unify’s proven impact and custom solutions, contact us today.
