Life science organizations face the challenge of handling ever-increasing volumes of text information within drug safety processes. Natural Language Processing (NLP) can be applied to optimize safety platforms and lower clinical development costs. NLP transforms unstructured text into structured data that can be rapidly analyzed or visualized.
This session will explore how these capabilities can be applied for safety case processing, medical coding (e.g. to MedDRA), publication search for potential Adverse Events situations and medical review of Adverse Events, and indeed, at every stage through the safety lifecycle of a drug.
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