Cardiovascular disease (CVD) is a leading cause of death and morbidity worldwide, devastating families and imposing an enormous burden on healthcare systems and public health. There is an urgent need for more accurate risk prediction models to identify individuals at high risk so these patients can receive early intervention and tailored preventive strategies. 

Dr Sritharan’s research looks into the development and application of machine learning based risk prediction algorithms to enhance the management of three critical cardiovascular conditions:

  • ST – elevation myocardial infarction
  • Severe aortic stenosis
  • COVID-19 associated cardiovascular outcomes

The aim of Dr Sritharan’s research is to leverage the power of artificial intelligence (AI) and predictive modelling to optimise patient care and improve clinical decision-making in cardiovascular medicine.

You can hear Hari talking about his research on our ‘tea with the experts’ webinar here

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