Using data science to uncover deeper insights
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.
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
Sponsorships & grants
We regularly support a variety of medical grants and sponsorships
Turning insights into medicine
See the results of innovation that is
rooted in science.
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future treatment of cancer and other serious diseases