Significant resources are being directed to develop methods and data in support of the Precision Medicine and the Cancer Moonshot Initiatives, focused on improving patient care. Most current focus is on technology that brings genomics into clinical practice and/or the development of new diagnostics and therapeutics. For these efforts to be successful in the clinic, however, it is critical to also consider how medicine is practiced in the real world and how the patients it addresses are more complex issues than genomics, alone, suggests. We have developed system-based modeling approaches to evaluate these critical issues in support of the goal of delivering the right care to the right patient.
In collaboration with the Epidemiology and Health Research Department at the National Research Council of Italy (CNR-Pisa), we have developed a comprehensive model of the disease process implemented within a web-based platform. This pan-disease model has been successfully applied in the development of drugs and diagnostics, design and evaluation of clinical trials, evaluation of disease risk and in clinical decision support, with new extension into public health and policy and health economics. This presentation will go beyond unmet clinical need to explore unstated, unmet clinical need and provide examples from our work in breast cancer, pediatric Acute Respiratory Distress Syndrome (pARDS) and heart failure.