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Biomedical Informatics
This program supports the development of structures and algorithms to improve the collection, annotation, aggregation, anonymization, classification, retrieval, integration, analysis, and dissemination of quantitative and qualitative biomedical data.
Emphasis
The emphasis is on using biomedical information to achieve better health outcomes and smarter health care. Examples of technical development areas in this program include but are not limited to informatics tools and resources such as: databases, standards for enhanced interoperability, collaborative analysis environments, data modeling and representation, and techniques for the integration of heterogeneous data, rational data-driven design of experiments, visualization of data, and digital representation of rich qualitative data. This program is intended to support NIBIB’s other program areas in biomedical imaging and bioengineering research.
Program priorities and areas of interest:
- Biostatistics methods for bioinformatics
- Meta databases and integrative services
- Digital biomarkers
- Information-driven computer-aided diagnosis, and decision support system
- Digital atlases
- Data mining
- Large scale biomedical image/information databases
- Data fusion
- Hyperspectral data analysis and -omics
Additional support
This program also supports:
- Early-stage validation of tools for biomedical informatics
- Image-based search
- RIS/PACS system
- Health outcome-based assessments
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