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Integrating Multi-Dimensional Data to Advance Global Health Equity in Oncology
Yuan Liu1,2,3, Eytan Ruppin4,5, Leng Han1,2,3
1Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana.
Abstract:
Precision oncology has transformed cancer care, but its benefits remain unevenly distributed because of persistent gaps in resources and representation. Integrating multiomics data, clinical trial evidence, and real-world data enables the identification of both biological and extrinsic drivers of cancer inequities and can further advance treatment decisions across diverse populations worldwide.
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