Transform Real-World Data Into Real-World Evidence
Source: Cytel
Drug development is entering a new era of potential. By applying data science techniques to real-world data, we can generate evidence to complement traditional randomized clinical trials, accelerate submissions, and bring new medicines to patients.
RWD increasingly supports regulatory decision-making, but data sources are more fragmented than ever. This resulting overabundance of unstructured data needs advanced analytics to realize its potential.
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