A significant impact of COVID-19 on heart disease. Heart failure may result from the virus‘s ability to produce acute myocarditis, an heart muscle inflammation. The risk of developing a serious illness from COVID-19 and passing away is increased in those who already have heart disease. To analyze the impact of the COVID-19 variant on heart disease, researchers can use various methods, such as observational studies and statistical models. These studies can help identify risk factors and predict outcomes for individuals with heart disease. Machine learning techniques may be used to analyse big datasets and find trends in order to implement a novel prediction model for the effect of COVID-19 variations on heart disease. The model can then be used to make personalized predictions for individuals based on their risk factors and medical history. However, it is important to note that while predictive models can provide useful information, they should not replace clinical judgment and should always be validated through clinical studies before being used in practice.