Project Grant 2331502
- This Project Grant award from the National Science Foundation Division of Information and Intelligent Systems provides $350,000 in funding to the University of Illinois from September 2022 through August 2026. The award supports research under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). Specifically, the University of Illinois will develop a machine learning framework for training models across hospitals to support precision population health and...
- The National Science Foundation (NSF) awarded a $350,000 Project Grant under the Biological Sciences program (CFDA 47.074) to the University of Illinois in Chicago. The grant funds collaborative research to develop novel machine learning and natural language processing methods for early identification of patients at risk of chronic conditions like type 2 diabetes and congestive heart failure. The project aims to mine heterogeneous healthcare data, protect patient privacy, and create fair,...
- This $546,385 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) will support the development of a machine learning framework for training models across hospitals to address screening and treatment disparities in breast cancer. Specifically, the grant will fund research at Stanford University from September 2022 to August 2026 to create a fair federated representation learning algorithm and framework that can train...
- The National Science Foundation (NSF) awarded a $180,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of North Carolina at Chapel Hill (UNC-CH) for a 3-year collaborative research project. The project aims to develop an efficient statistical framework to improve personalized treatment decisions in medicine by leveraging demographic, socio-economic, and biomedical data. The research will contribute to better health outcomes, more efficient...
- This $500,000 Project Grant award from the National Science Foundation's Division of Mathematical Sciences supports the development of novel deep learning techniques for interpretable survival analysis of complex longitudinal healthcare data. The project aims to create a unified deep learning model that can effectively analyze multi-modal data, such as text, images, and lab values, collected at irregular intervals to predict patient outcomes. Key objectives include providing a unified feature...
- This $1,000,000 Project Grant was awarded on August 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The funding supports the development of a novel Artificial Intelligence (AI) and Machine Learning (ML) framework to reduce health outcome variability for breast cancer, particularly among Black women who experience disproportionately higher mortality rates. The key products and services to be delivered...
- 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 Project Grant from the National Science Foundation Division of Mathematical Sciences supports the development of a generalizable data framework to enable precision radiotherapy for individual cancer patients. Funded at $104,016 under the Mathematical and Physical Sciences program (CFDA 47.049), the award will support collaborative research between Jackson Laboratory and other organizations to build and validate a deep reinforcement learning model using multimodal imaging data from cancer...
- This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $300,000 to Arizona State University to develop a machine learning framework for training models across hospitals on electronic health records without sharing patient data. The framework aims to address fairness and mitigate biases by training representation learning algorithms jointly across multiple...
- 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 National Science Foundation (NSF) Division of Mathematical Sciences grant award of $278,537 to Northeastern Illinois University aims to develop a novel, equitable machine learning methodology to predict colorectal cancer, lung cancer, and postpartum health outcomes. By leveraging electronic medical records and socio-environmental data from Chicago, the project will test and compare the performance of the "Triple Discriminant Scoring" approach against existing techniques like extreme gradient boosting and neural networks. The project will also support the principal investigator's participation in the Institute for Mathematical and Statistical Innovation's Fall 2023 long program on "Algebraic Statistics and Our Changing World" to further advance the interdisciplinary research. Broader impacts include improving societal well-being, reducing health inequities, building trust in underserved communities, and increasing the participation of women and underrepresented minorities in STEM fields, particularly mathematics and statistics.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $278.5k | 8/14/23 |