Integration of multiple Omics data types (genetics, transcriptomics, metabolomics, proteomics, and epigenetics) to understand susceptibility, progression, and heterogeneity of chronic lung diseases.
There is a need to improve identification and surveillance of persons at risk for heart failure and pathological ventricular remodeling prior to development of clinically overt heart failure.
There is a need to create tools to access and analyze electronic medical records (EMR) data and its linkage to “omics.”
There is a need to address chronic heart failure (HF) through improved identification of patients at risk for HF and of patients with pathological ventricular remodeling who have minimal evidence of clinical HF, and more focused and individualized pharmacologic and lifestyle treatments and monitoring of patients with HF risk. Approaches would include big data collection, omics, statistical modeling, and focused clinical ...more »
There are many novel imaging modalities, including radiographic, scintigraphic, sonographic, MR-based, and molecular for the heart and vessels. Patients have unique medical "signatures"- genetic risk factor profiles, epigenetic markings, "omics" profiles, and personal clinical and family history as well as symptom constellation and physical exam findings. Can these all be integrated into a single personalized profile ...more »