Figure 1.

Blood samples were sequenced and processed. Millions of raw transcriptomic variants reduced to hundreds of high-quality, significant ones. Variants, together with CA19-9, were used to stratify patient groups. In the machine learning workflow, the dataset was divided into training and test sets before feature selection and optimisation. The test set was held out for evaluation only.