Saldanha et al. proved that swarm learning can not only be used to detect COVID-19, tuberculosis, leukaemia and lung pathologies but also to predict clinical biomarkers in solid tumours and yield high-performing models for pathology-based prediction of BRAF mutation and microsatellite instability (MSI) status [86]. The gene discussed is BRAF; the disease is leukemia.