Rutgers researchers use artificial intelligence to predict cardiovascular disease
Researchers may be able to predict cardiovascular disease – such as atrial fibrillation and heart failure – in patients by using artificial intelligence (AI) to examine the genes in their DNA, according to a new Rutgers study.
Researchers said the use of AI and machine learning can accelerate our ability to identify genes that have important implications for cardiovascular disease, which can lead to improvements in diagnoses and treatment.
Researchers from IFH analyzed healthy patients and patients diagnosed with cardiovascular disease and used AI and machine-learning models to investigate the genes known to be associated with the most common manifestations of cardiovascular disease, including atrial fibrillation and heart failure.
They identified a group of genes that were significantly associated with having cardiovascular disease. Researchers also found significant differences among race, gender and age factors based on the cardiovascular disease. While age and gender factors correlated to heart failure, age and race factors correlated to atrial fibrillation. For example, in the patients examined, the older the patient, the more likely they were to have a cardiovascular disease.
