CFTR and cystic fibrosis: In the context of CF-related kidney disease, machine learning could be applied to integrate multi-dimensional datasets—including urinary and blood biomarkers, genotype (e.g., CFTR variants), comorbidities (such as CFRD), and medication exposure—to identify early signs of renal involvement and personalize treatment strategies.