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Application of the spQSP model for biomarker identification based on the pre-treatment composition of the HCC tumor microenvironment. Virtual patients are divided into upper half and lower half the day 0 values of 8 different features. Simulated median response rates (90% cancer cell reduction in the ABM model) at day 70 after treatment of every subgroup are computed along with 95% bootstrapped confidence intervals.
