According to a recent study, by utilizing artificial intelligence (AI) to look at a person’s DNA, researchers may be able to forecast their risk of developing cardiovascular disease. Cardiovascular disease covers conditions like heart failure and atrial fibrillation.
According to Zeeshan Ahmed, a core faculty member at the Rutgers Institute for Health, Health Care Policy and Aging Research (IFH) and the study’s lead author, “With the successful execution of our model, we predicted the association of highly significant cardiovascular disease genes tied to demographic variables like race, gender, and age.” The study was published in the journal Genomics.
Although cardiovascular disease is the biggest 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.
Despite important developments in cardiovascular disease diagnosis, prevention, and therapy, it is reported that roughly half of those diagnosed pass away within five years following a diagnosis for a variety of reasons. includes environmental and genetic influences. The application of artificial intelligence (AI) and machine learning, according to researchers, can expedite our capacity to find genes that have significant implications for cardiovascular disease, which can improve diagnosis and treatments.
In order 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.
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, the likelihood of a patient having cardiovascular disease increased with age in the patients whose records were reviewed.
By lowering the high risk for mortality and enhancing quality of life, timely understanding and effective treatment of cardiovascular disease will ultimately help millions of people, according to Ahmed, an assistant professor in the department of medicine at Rutgers Robert Wood Johnson Medical School.
The whole set of genes in individuals with cardiovascular disease should be analyzed in further research, according to the researchers, since this could reveal significant biomarkers and risk factors linked to cardiovascular disease susceptibility.
