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Life sciences regulatory and safety processes are beset by vast volumes of complex data that need to be filtered and understood accurately and efficiently to progress drug discovery and development, and deliver safe new treatment options affordably into patients’ hands within as short a timeframe as possible.
Up to now, the sheer amount of work required in bringing intelligent automation systems up to speed and validating them for life sciences R&D purposes, e.g. to transform adverse event case intake, has threatened to undermine the business case. But now the large language models (LLMs) used to power Generative AI are bringing down those barriers and bolstering compliance.
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