Data Science Services
Increasingly, data are transforming our understanding of diseases. This is especially true in cancer. We have invested in robust data science capabilities to enable rapid data-driven decision making as we advance our products through all stages of development. Integration of disparate data sets from clinical and pre-clinical studies is a major guiding principle that is allowing us to extract novel insights regarding targets, investigational products, indications and patient biomarkers.
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Data science is tightly embedded in the Genmab community to help:
- Democratize access to integrated data across the organization by providing stakeholders such as laboratory researchers and clinicians with intuitive views to complex data sets and analytics
- Identify novel disease targets by canvassing private and public clinical and pre-clinical data
- Identify clinical biomarker candidates and biological insights in real time during the conduct of clinical trials
- Scale and automate the derivation of novel discoveries by leveraging advancements in machine learning and artificial intelligence
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