The rapid evolvement of precision oncology requires real-world data generated at a scale that unlocks insights that can not be provided from clinical trial evidence. Machine learning and large language models can be used to quickly identify information, supporting custom integrated real-world evidence solutions to make informed decisions.
Follow the Data to Grow: Why a Scientific Data Platform is Essential
August 26th 2024Innovation is the engine that powers a company’s growth and product development, and for enterprises with R&D laboratories, those lab environments are the greatest source of this innovation. In this white paper, learn how a platform approach to scientific data management, including semantic search, advanced analytics, and lab automation, leads to better enterprise decisions at the executive level, optimized lab performance, more discoveries, and stronger product pipelines.