The National Science Foundation (NSF) awarded a $250,000 Project Grant under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Arizona State University (ASU) to develop novel AI-based methods for anonymizing and preserving the privacy of biometric data while retaining clinical utility. This 3-year project aims to create modular and scalable anonymization models that can be customized for diverse client demographics and health conditions, balancing the need to obfuscate re-identifiable information while preserving the structural characteristics of biosignals critical for diagnosis. The project includes developing a privacy assessment and evaluation framework to update the anonymization models based on utility-anonymity analysis. This work is expected to minimize regulatory costs, improve trust between clients and providers, and enable the development of secure AI models for smart healthcare applications.
Generated 3/4/25, 6:44 AM