Immuno-oncology has captured the attention of researchers and pharmaceutical industries worldwide. This promising treatment at the forefront of cancer research is already reaching patients and uses the body’s immune system to recognize, target, and eliminate tumor cells. How does the immune system precisely target cells, re-evaluate and launch new attacks if needed, and use its “memory” to target and eliminate cancer if it returns?
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Join Kavita Iyer, Scientific Content Creator of ACSI India, Aik Choon Tan, Senior Director of Data Science of the Huntsman Cancer Institute at the University of Utah, and Hisham Hamadeh, Senior Vice President and Global Head of Data Science & AI at Genmab for an overview of the current immuno-oncology landscape. Register now to learn natural language processing (NLP), computational, and statistical learning methods and their current use in data mining and analysis, personalized oncology treatment, and to overcoming treatment resistance.
This ACS Webinar is moderated by Qiongqiong Angela Zhou, Manager, Scientific Analysis and Insights at CAS and is co-produced by CAS, a division of the American Chemical Society.
What You Will Learn
- An overview of the immuno-oncology landscape based 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 case examples of how to leverage multiple data sources
Webinar Details
- Wednesday, February 21, 2024 @ 2-3:30pm ET
- Free to register with ACS ID
- Slides will be available on the day of the live event
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