Globally, heart disease is the leading cause of death in men and women and is projected to affect almost half of all adults by 2030. Nevertheless, cardiovascular research lags when it comes to harnessing technology, big data and funding – critical elements for precision cardiovascular medicine to make the sort of dramatic advances achieved in cancer research and care.
“Cardiovascular disease as a field hasn’t seen very much computational firepower coming to the rescue to do something about it, at least relative to precision oncology,” said Bohdan Khomtchouk, PhD, an instructor in the Section of Computational Biomedicine and Biomedical Data Science in the Department of Medicine. “We need more people to help us fight heart disease with computation.”
Khomtchouk recently co-authored a review article in the journal Briefings in Bioinformatics, summarizing the current state of cardiovascular disease literature and cardioinformatics, the emerging field for administering and analyzing data created in precision cardiovascular medicine.
Originally published in The Forefront, 12/5/2019