Immuno-oncology: Big Data Insights

Millions of research documents and patents have been published on immuno-oncology, but which emerging trends are the fastest growing, and how can you separate the signal from the noise?  

Join experts from CAS, Genmab, and the Huntsman Cancer Institute at the University of Utah as they reveal emerging trends in immuno-oncology research, new opportunities ahead, and the latest ways that AI tools like natural language processing, computational and statistical approaches, and the clinic are progressing cancer treatment.

What you will learn

• An overview of the immuno-oncology landscape based on a data analysis using natural language processing from the CAS Content Collection™  
• Machine learning algorithmic methods for developing and validating biomarkers for personalized oncology medicine  
• The importance of data sharing and use cases of how to leverage multiple data sources