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Synthetic data in oncology is transforming how researchers and developers approach real-world evidence. They often need this evidence to test hypotheses, predict outcomes and develop algorithms. But privacy constraints and access related to patient data can create delays and lengthen project timelines.Oncology drug researchers and developers have recently begun using synthetic data in oncology to get around the privacy constraints and access issues related to patient data that create delays and lengthen project timelines.
Conceptually, synthetic data in oncology is about taking private patient information and enabling researchers to access the data without compromising privacy, offering a significant tool for current oncology research processes.
Traditional vs. new data approaches in oncology researchTraditionally, oncology researchers and drug developers have relied on t…