The AI and Tumor Evolution
8 am – 4:30 pm
The Waterview
44 Fairview Drive
Port Jefferson, NY 11777
In Person Only
*Please note, space is limited and registration is required to attend this event. Registration closes on Wed., April 19, 2023.
Cancer follows all evolutionary principles, however incorporation of Darwinian dynamics to cancer biology studies still remains rare. Cancers evolve as a result of phenotypic/genotypic diversification under microenvironmental evolutionary selection pressures, leading to uncontrolled growth and abnormal cell behavior. With novel single cell sequencing and multiplexing techniques, opportunities expand for cancer biology scientists to incorporate more detailed evolutionary dynamic in their studies. For example, radiological images and corresponding histopathologic tissue specimens is essential for cancer diagnosis, predicting prognosis, and treatment design. Recent technological advances in imaging, computational infrastructure, and machine learning and artificial intelligence have made it possible to study subcellular features of cancer in many exciting ways. As imaging studies produce large and complex datasets, emerging AI methods will be critical to extracting salient information to understand cancer biology, cancer evolution, and developing novel clinical applications.
This symposium will inform attendees on the most recent advances and knowledge of tumor biology, tumor microenvironment, cancer evolution, imaging, computational sciences and machine learning.
KEYNOTE SPEAKERS
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Issam El Naqa, PhD Chair, Machine Learning Department Chair: Machine Learning, Program: Machine Learning Moffit Cancer Center |
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Sidi Chen, PhD Associate Professor of Genetics, Yale School of Medicine |
*Please note, space is limited and registration is required to attend this event.
Registration closes on Wed., April 19, 2023.