Case Study: Agios accelerates drug safety event detection with Linguamatics NLP

Leading pharma company reveals insights and better understands the AE landscape across the patient population

Agios, a biopharmaceutical company, faced a challenge in manually processing the unstructured text from serious adverse event (SAE) report forms during clinical trials. This slow and inefficient process hindered their ability to quickly identify and understand potential drug safety issues for patient monitoring. To address this, they turned to the Linguamatics NLP platform from IQVIA.

Linguamatics implemented a text mining solution that automatically extracted and normalized adverse event data from SAE forms, mapping it to MedDRA terms and loading it into a safety database. This drastically reduced processing time from a day to under an hour per form. The solution enabled advanced analysis that successfully identified at-risk patient cohorts, such as those with differentiation syndrome, allowing Agios to prevent potentially fatal events and ensure better patient safety.

Agios