New Approaches for Decoding Cancer at the Single-Cell Level

This webinar will be hosted live and available on-demand

Tuesday, January 14th, 2025
2:30 - 4:00 PM ET

To fully understand cancer, researchers must use methods that allow them to fully appreciate heterogeneity within tumors and across the tumor microenvironment. New computational and omics technologies are changing how scientists investigate tumors, their behaviors, and especially their interactions with surrounding cells—both healthy and cancerous. In this webinar brought to you by The Scientist, Linghua Wang and Jeremy Goecks will talk about how computational approaches and machine learning help scientists better understand tumors on a cellular, spatial, and environmental level. 

Topics to be covered

• Computational approaches for the spatial decoding of tumor ecosystems
• Computational and machine learning approaches for single-cell precision oncology

Linghua Wang, MD, PhD Associate Professor, Department of Genomic Medicine Associate Member, The James P. Allison Institute Lead, Focus Area 2, Institute for Data Science in Oncology  The University of Texas MD Anderson Cancer Center

Jeremy Goecks, PhD Assistant Center Director, Research Informatics Associate Member, Department of Machine Learning Moffitt Cancer Center