NPPB and systemic sclerosis: We propose a framework of a supervised learning algorithm system that will be retrained on a wider population of SSc-PAH patients, which will include not only the standard cardiopulmonary inputs like NT-proBNP, DLCO, TR velocity, and RV size but also autoimmune markers (e.g., anti-centromere, anti-U1 RNP), digital microvascular findings, and skin fibrosis scores.