To generate training data, we developed an algorithm that assigns appropriate clinical scores to the published virtual population of the Rogers et al. model based on (1) literature data of IBD score distribution (Kawashima et al., 2016; Nakamura et al., 2018; Shinzaki et al., 2021) in relation to either FCP or CRP; and (2) simulated levels of tissue biomarkers that had both strong correlations with IBD scores (Holmén et al., 2006) (Table 1) and known mechanistic links with IBD pathology in the literature (Langer et al., 2019). This evidence concerns the gene CRP and inflammatory bowel disease.