Recent advances in cardiovascular biomarkers: innovations in early detection, risk prediction, and treatment monitoring.
Recent advances in the application of Machine Learning (ML) techniques to transcriptome datasets of CVD patients are sampled in the hopes of progressing the understanding of underlying pathophysiology, improving the ability to detect disease, and refining the methods of risk stratification of patients.