Project Grant 2200585

This three-year, $651,130 National Science Foundation Project Grant will support the development of Pathoradi, an interactive web server for artificial intelligence-assisted radiologic-pathologic image analysis, correlation and visualization at Howard University. The server aims to address current challenges in comparing radiologic and pathologic images through three components: deep learning algorithms for quantifying cell morphological phenotypes in whole brain sections, a graphical and interactive statistic toolbox to visualize radiologic-pathologic image correlation analysis, and a website-as-a-service software package implementing computer-aided image analysis and database capabilities for radiologic-pathologic correlations. This work supports the Integrative Activities program's goal of enhancing STEM competitiveness by building critical infrastructure for the nation's science and engineering enterprise and broadening participation in research and education.