In a recent Nature article, researchers applied machine learning to uncover primary predictors, such as age, gender, red blood cell count, blood pressure, and protein levels, from NHANES data. This refined analysis of NT-proBNP paves the way for personalized cardiovascular assessments and improved diagnostic clarity, providing a practical example of big data in healthcare.