This National Science Foundation (NSF) Project Grant Award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $250,000 in funding to Arizona State University (ASU) for the period of October 1, 2024 to September 30, 2027. The award supports the development of intelligent anonymization methods to preserve the privacy of clients' biomedical signals while retaining data utility for clinical purposes. The project aims to create modular and scalable anonymization...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $299,998 provides funding from October 1, 2024 to September 30, 2027 to support a collaborative research project on privacy-preserving anonymization of biometric data. The project aims to develop intelligent anonymization methods that preserve the utility of bio-signals for clinical purposes while protecting client privacy and preventing potential stigmatization,...
This Project Grant award of $237,951 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop methods for safely and securely illuminating "dark" biomedical data to make it more findable, accessible, interoperable, and reusable (FAIR) for AI-powered healthcare research. The project will create privacy-preserving synthetic data replicas of sensitive biomedical datasets, particularly for rare diseases...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) supports the development of intelligent anonymization methods for preserving the privacy of bio-signal data while retaining utility for clinical purposes. The $350,000 award to the University of California, Irvine, spanning Oct 2024 to Sep 2027, focuses on two technical thrusts: 1) designing reinforcement learning-guided generative deep models to anonymize...
This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $250,000 to The Trustees of the University of Pennsylvania to develop advanced statistical methods for integrating and analyzing large-scale data from multiple sources, such as electronic health records and genomics data. The project aims to devise new data-driven algorithms with theoretical optimality guarantees for transfer learning, as well as adversarially...
The National Center for Advancing Translational Sciences (NCATS), under the CFDA 93.350 Federal Grant Program, awarded a $230,499 Project Grant to Vindhya Data Science Inc. on July 15, 2024. The grant supports the development of BIOCLIN, a precision medicine software platform designed to enable RNA sequencing-based biomarker clinical trials. The project aims to (1) conduct user research to understand investigator needs for running RNA sequencing biomarker trials and develop a roadmap for the...
This $320,502 Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems is for a collaborative research project titled "Knowledge Discovery from Highly Heterogeneous, Sparse and Private Data in Biomedical Informatics." The research aims to mine healthcare data to identify patients likely to develop chronic conditions like type 2 diabetes and heart failure, and to develop models for opportunistic screening, particularly for...
This $299,993 National Science Foundation project grant supports research under the Computer and Information Science and Engineering program (CFDA 47.070) to develop privacy-preserving models leveraging mobility data for public health purposes. The award was made to Florida A&M University on January 1, 2022 for work concluding December 31, 2023. A sub-award of $TBD was also provided to the University of West Florida to support this research. Through this funding, the awardees will deliver...
This $284,317 Project Grant award from the National Institute of Nursing Research (NINR) under the Nursing Research (CFDA 93.361) federal grant program will fund the development of Potentia Analytics Inc.'s patient-centric health recorder application called MyDocSaid. The goal is to create a secure, searchable, and user-friendly technology platform that enhances patient recall, comprehension, and engagement in their own healthcare by using advanced natural language processing and artificial...
This $250,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports the development of algorithms for real-time dynamic risk identification and monitoring of streaming data, particularly in the domains of electronic medical records, mobile health, and supply chain. The key objectives are to create a unified framework for dynamic risk detection that can be incorporated into...
This STTR Phase I project grant from the National Center for Advancing Translational Sciences (NCATS) (CFDA 93.350) provides $649,264 to Grayrain, LLC to develop a novel platform for statistical obfuscation and de-identification of sensitive clinical data, including structured tabular data, text, and images. The goal is to enable secure data sharing and analytics while protecting patient privacy and personal health information. The technology proposed aims to produce de-identified synthetic data clones without loss of information content, addressing key limitations in existing data anonymization approaches. This project seeks to establish the feasibility of Grayrain's solution to efficiently de-identify and share large-scale electronic health record (EHR) data repositories under controlled risk of disclosure. The award period runs from September 15, 2023 to September 14, 2024.