The plasma proteome of patients with septic acute kidney injury (AKI) and COVID-19 was collected and examined at a different location. The data was retrieved and subjected to further analysis, which yielded datasets specific to each disease. The method commences by creating a BINN (Binary Neural Network) for each dataset. This is achieved by extracting a subset of the route database, such as Reactome, based on the proteomic content of the dataset in question. The extracted data is then organised into a sequential structure resembling a neural network. The protein amounts of each sample are utilised to train the corresponding BINNs to distinguish between two subphenotypes. Subsequently, the networks are analysed using SHAP, which provides feature importance values that can be used to identify biomarkers and do route analysis ( )).