Bayesian information-theoretic calibration of patient-specific radiotherapy sensitivity parameters for informing effective scanning protocols in cancer

The paper defines the score Sk(i,r) and empirically demonstrates that larger k shifts selections earlier, recommends day-1 then day-6 under weekly constraints for low radiosensitivity, and shows necrotic metrics are often preferred in the two-compartment setting; these are all consistent with the candidate’s algebraic analysis and policy conclusions. The candidate adds a clean pairwise threshold derivation and a monotonicity proof that the paper does not provide, but which follows directly from the paper’s Equation (9) and observed behavior in figures and summaries. Weekly day-1/day-6 and necrotic-vs-tumor recommendations also align with the paper’s scenarios and conclusions. See the score definition and usage, the weekly guidance, the k–radiosensitivity recommendations, and the two-compartment metric findings .