Cooperative Agreement 90AX0030

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 $254,091 National Science Foundation Project Grant under the Engineering (47.041) program will support the development of a healthcare data integration platform using blockchain and artificial intelligence. Emtruth, Inc. will receive funding to advance foundational technologies for searching and retrieving heterogeneous data secured in blockchain across a distributed data platform. The company will normalize blockchain data into more granular blocks to simplify integration and...

This $1.2 million project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at Stanford University from September 2022 to August 2026 to develop digital tools and algorithms to improve diabetes care delivery and health equity. Specifically, the university will leverage sensor data and machine learning techniques to better understand patient types and needs, allocate limited provider resources efficiently, and design interpretable treatment...

This $347,570 five-year Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to advance healthcare applications of large language models (LLMs) and knowledge graphs (KGs) through a framework called "KG-LLM Co-Learning". The key products and services to be delivered under this award include: 1) Developing novel LLM-based methods to construct comprehensive healthcare KGs by unifying existing...

This $729,821 Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program supports the development of artificial intelligence (AI) and machine learning (ML) methods for real-time monitoring and updating of clinical decision support (CDS) systems. The goal is to reduce health disparities that may arise from the use of CDS tools. The key products of this work include: Fair ML models trained on retrospective...

This $3.276 million project grant from the Department of Health and Human Services Assistant Secretary for Financial Resources will support research at St. Jude Children's Research Hospital Inc. from September 2022 through August 2025 under the Biomedical Research and Research Training program (CFDA 93.859). The research aims to advance understanding of dynamic spatial organization and subcellular architecture as it relates to metabolism through multidisciplinary approaches. Investigators will...

This four-year Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation provides $399,585 to the University of Florida for collaborative research titled "A Causal AI Digital Twin Framework to Transform Intensive Care Delivery." The award's stated purpose is to support investigator-initiated research and education under the Computer and Information Science and Engineering program (CFDA 47.070). Specifically, the University of...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant award (CFDA 47.070) of $200,000 to the Trustees of the Stevens Institute of Technology will support the development of a flexible and open-resource medical knowledge base called FORMED. The goal is to create a comprehensive, public-oriented database covering a wide range of diseases, conditions, and medications with detailed information on symptoms, causes, and treatments. The project...

This federal Project Grant award under the Research on Healthcare Costs, Quality and Outcomes (CFDA 93.226) program, funded by the Agency for Healthcare Research and Quality (AHRQ), will support a $142,864 project to use natural language processing and generative AI models to capture social determinants of health (SDH) information from patients. The goal is to process this SDH data into discrete elements that can be integrated into the electronic health record and used by clinical decision...

Spatio Metrics, Inc. received a $255,882 Small Business Innovation Research Phase I Project Grant from the National Science Foundation Division of Industrial Innovation under the Engineering (47.041) federal grant program. The grant funding supports research and development of Architectural Epidemiology, an approach leveraging machine learning and spatial data at scale to understand health outcomes. Specifically, Spatio Metrics will develop techniques to analyze relationships between building...