Predicting new patients cluster membership based on sumo interpret results

Let say we run the sumo pipeline for a group of cancer patients from TCGA. Next, we have some additional patient data (not always from all the omics previous pipeline was run with). Could we use sumo interpret results to predict cluster membership of new patients?

Right now the only way is running the whole pipeline again using feature matrices extended to accommodate new patient data.