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Thermo Fisher Scientific
Data is knowledge, and knowledge is power—but only if it is actionable. Predictive modeling has the potential to aid in developing robust drug development and manufacturing platforms. Realizing the full potential of the technology requires careful selection and application of in silico strategies and a deep understanding of how to interpret and derive the most valuable insights from the data. This report provides a framework for that understanding by outlining some of the processes that stand to gain the most from computational modeling and identifying the in silico capabilities that can be used to accelerate and de-risk each phase of development.
