Federal Project Grant Award Summary

The National Science Foundation's Division of Computing and Communication Foundations awarded $385,250 to the University of Kansas Center for Research Inc. (effective June 1, 2026 through May 31, 2031) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop an integrated machine learning framework designed to enhance longitudinal healthcare intelligence. The project delivers three complementary research and development components: (1) novel deep learning architectures that jointly model patient visit sequences and relational graphs of clinical events to improve data representation of electronic health records; (2) integration of medical knowledge graphs and large language models into algorithm training to ensure clinical reasoning alignment with established medical principles; and (3) system robustness evaluations to address vulnerabilities and performance reliability when processing noisy or unexpected healthcare data.

The research framework addresses critical limitations in current artificial intelligence applications for healthcare by creating more reliable and medically accurate decision support systems. Deliverables include methodologies for enhanced data representation, alignment protocols for ensuring algorithmic recommendations comply with clinical knowledge, and robustness testing protocols for system performance across diverse data conditions. The project also supports workforce development through training of undergraduate and graduate students in healthcare technology innovation, advancing the broader national interest in effective, personalized patient care and strengthening the pipeline of next-generation healthcare technology professionals.