One of our clinical colleagues once told us, “There are PhD problems, and there are important problems. You should work on important
problems.” We reject our colleague's blunt criticism of basic science but we recognize that, as fields advance, researchers can do more to increase the tangible impact of their work. It seems to us that the field of myocardial contraction has reached this point. Decades of work by thousands of scientists has provided us with detailed information about the molecular, cellular, and tissue-level mechanisms that drive and regulate ventricular function. In our opinion, it is time for researchers to put more emphasis on leveraging that knowledge to improve patient care. This article outlines one potential approach based on multiscale computer modeling of cardiac function. Our vision is a transdisciplinary team that optimizes treatment plans for patients who have cardiac disease by predicting how the heart will respond to each of the potential therapeutic options using personalized computer models that integrate genomic, proteomic, imaging, and functional data. Over the next few years, we want to work towards that moonshot goal by planning a clinical trial that tests whether implementing model-predicted therapies helps patients more than the current standard of care.