In addition to direct biomedical interventions, precision health faces challenges in creating, understanding, analyzing, storing, and securing large amounts of heterogeneous data and is therefore also an informatics challenge.
Data & Informatics
The Data and Informatics Cluster will address 3 principal challenges
- Scaling computing infrastructure to meet the needs for millions of patients. The new computing infrastructure will enable communication among patients, care providers, and researchers; it will address the research needs for various disease and therapy conditions, as well as meet the analytics, storage, and security needs for integrated health and molecular data; it will address the challenge of translating data-driven discovery into practice.
- Development of knowledge-discovery methodologies, collaborative research projects, and novel informatics tools for understanding: molecular mechanisms of disease, drug target and drug selection, omics data analysis and interpretation, clinical phenotyping of patients, and clinical decision systems.
- Training the next generation of experts through a biomedical informatics educational program. Next-generation informaticians will be broadly trained in a collaborative research heavy environment that addresses the needs in both precision health research and clinical practice.