New NIH Grant: Advancing Data Science Tools for COVID-19 Analyses

A new NIH award supports adaptation of Cadence visual analytics technologies to COVID-19-motivated use cases.

VACLab teammates David Gotz and David Borland are co-investigators on a newly awarded NIH grant that will support the design and development of new informatics tools to support COVID-19-motivated data analyses using electronic health data. The funding comes as a supplement to UNC’s existing CTSA grant, and the work will be done by a broad team from a number of UNC units including the Carolina Health Informatics Program, the School of Information and Library Science, the School of Medicine, the School of Pharmacy, and RENCI.

The VACLab team will focus on developing extensions and adaptations of the Cadence visual analytics platform for longitudinal data analysis. The project will result in an integration of Cadence with a new suite of advanced data management, transformation, and analysis technologies to enable large-scale longitudinal studies using complex real-world health datasets.