Advancing the goal of optimized therapies for patients, we use a broader definition of Precision Medicine than what has been earlier popularized by the -omics revolution. According to our definition, Precision Medicine approaches must also include causal, mechanistic, inferential, and statistical models integrating data that is multimodal and multiscale – in magnitudes and across time scales. Such approaches draw upon a wide range of sciences and technologies, including physiological control systems, hemodynamics, causal inference, modeling and simulation, and cardiovascular dynamics.
Our initial focus is on realizing Precision Cardiology through development of an organ systems level Cardiovascular Bio Digital Twin (CV BioDT) as well as an in vitro Heart-on-a-Chip digital twin platform. The CV BioDT will begin with representations of acute cardiac conditions before moving on to more chronic cardiac conditions and their co-morbidities. By addressing the complex interactions necessary to represent these conditions of unmet medical need, the overall Bio Digital Twin will be developed.
Ultimately, based on our accumulating knowledge of underlying physiological and pathophysiological mechanisms – together with advanced wearable and remote sensing technologies – we will be able ultimately to move into wellness and prevention.