According to a new study published in Genomics, scientists were able to predict cardiovascular disease in individuals by looking at the genes in their DNA using artificial intelligence (AI).

Heart failure and atrial fibrillation are two instances of cardiovascular diseases. Dr. Zeeshan Ahmed, a core faculty member at the Rutgers Institute for Health, Health Care Policy, and Aging Research (IFH) and the studys lead author, stated that the association of highly significant genes for cardiovascular disease tied to demographic factors like race, gender, and age had been predicted thanks to the effective application of the model.

Although cardiovascular disease is the leading cause of mortality worldwide, according to the World Health Organization, it is thought that more than 75% of cardiovascular illness is avoidable. About 45% of all deaths from cardiovascular disease are caused by atrial fibrillation and heart failure.

To identify the genes known to be linked to the most prevalent cardiovascular disease presentations, such as atrial fibrillation and heart failure, researchers from the IFH compared healthy individuals with those who had been diagnosed with the disease.

In the study, they discovered a collection of genes that were strongly linked to cardiovascular disease. Also, depending on cardiovascular disease, researchers discovered substantial disparities in racial, gender, and age characteristics. Age and race characteristics were connected with atrial fibrillation, whereas age and gender were correlated with heart failure. For instance, among the individuals investigated, cardiovascular illness was more prevalent among older patients. 

(Source: https://health.economictimes.indiatimes.com/news/health-it/scientists-use-artificial-intelligence-to-detect-heart-disease/98441895)