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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

Speakers

Written By

Kavita Iyer

Scientist, ACS International India Pvt. Ltd.

Kavita Iyer graduated with a Bachelor of Pharmacy from the University of Mumbai in 2011. Subsequently she earned her PhD in Medicinal Chemistry from Virginia Commonwealth University, USA. She further pursued a post-doctoral fellowship in the Department of Physiology and Biophysics at VCU where she was trained as a structural biologist. Prior to joining ACSI India she was a Research Scientist at the School of Medicine, VCU.

Written By

Angela Zhou

Manager of Scientific Analysis and Insights, CAS

Angela Zhou is an Information Scientist at CAS. She earned her Ph.D. in Molecular Pharmacology and toxicology from University of Southern California. She was further trained as a cell biologist at Johns Hopkins School of Medicine and worked in the area of cancer biology at Harvard Medical School. She was a faculty member at Missouri State University and Denison University prior to joining CAS.

Written By

Aik Choon Tan

Senior Director of Data Science, University Utah

Senior Director of Data Science of the Huntsman Cancer Institute at the University of Utah

Written By

Hisham Hamadeh

Senior Vice President and Global Head of Data Science & AI at Genmab