Heart problems or cardiovascular diseases (CVDs) are a group of disorders of the heart and bloods vessels. They include coronary heart disease, rheumatic heart disease etc. These problems can arise due to physical inactivity, unhealthy diet, tobacco use and harmful use of alcohol.
According to WHO, CVDs are the leading causes of death globally. 32% of all global deaths occur from CVDs of which 85% are due to heart attack and strokes. It is estimated that almost half of the adults in the USA have some sort of CVD. These are highly alarming statistics that point out the grave condition that we’re all in.
Scientists may utilize AI to detect heart diseases
A new study recently concluded that scientists might be able to detect heart diseases (CVDs) in individuals by looking at the genes on their DNA through Artificial intelligence. If this really becomes possible, it will be of huge importance to the medical world because simple diagnosis of a disease early on can help in its prevention. If the diagnosis itself takes time, the time period available to treat the disease decreases greatly.
Zeeshan Ahmed, a core faculty member at the Rutgers Institute for Health, Health Care Policy and Aging Research (IFH) and lead author of the study, published in Genomics said, “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.”
How did this model come about?
Researchers from IFH analyzed the genes associated with atrial fibrillation and heart failure of healthy patients and patients diagnosed with CVDs using AI and machine learning techniques. Through this, they could identify a gene that was significant in a heart disease. They also found that there were differences in this gene on the basis of race, gender and age.
While further expansion and research of this model is still needed, if it does become possible in the future, it will be a great step towards a technologically advanced world. It will prove to be a great scientific discovery.
