Publications / Poster

A large-scale data simulation platform isolates tumor signal from cell-free DNA and improves tissue of origin prediction accuracy.


AACR Special Conference in Cancer Research: Liquid Biopsy

The study introduced a cfDNA simulation platform that generates balanced training data for machine learning models to detect tumor-specific biomarkers free from demographic and technical biases. By correcting for factors like age, sex, and ethnicity, this adaptable approach enhances diagnostic accuracy and can be extended to other diseases and biofluids, broadening its impact beyond cancer detection.

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