This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $237,951 to the University of Washington to develop methods for safely and securely making sensitive biomedical data more findable, accessible, interoperable, and reusable (FAIR) without compromising privacy. The project aims to create privacy-preserving synthetic replicas of dark health data, empowering researchers to leverage this data for beneficial AI applications, particularly for rare diseases. Key project objectives include developing a software library with efficient algorithms and cryptographic protocols to enable data custodians to contribute data to a secure synthetic data generation process. The project will also investigate the capabilities and limitations of generative AI models for high-fidelity synthetic genomics data. The award period is from April 1, 2025 to June 30, 2026.
Generated 2/25/25, 4:10 AM