Project Grant W911NF261A004

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 $350,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of advanced, privacy-preserving generative AI models for anonymizing biometric signals. The project aims to create modular and scalable anonymization methods suitable for both clinical and wearable device bio-signals, which can be customized for diverse demographics and health conditions. This will help preserve...

This $175,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of robust machine learning methods to address data disparities. The University of Michigan will receive funding from March 2022 through February 2024 to create predictive and causal machine learning tools for medical decision making that are reliable despite inaccuracies from underrepresented patient subgroups. Specifically, the university will...

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 Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), part of the U.S. Department of Health and Human Services, under the Federal Grant Program "Discovery and Applied Research for Technological Innovations to Improve Human Health" (CFDA 93.286), aims to develop and assess novel frameworks for accurately predicting functional recovery following moderate-to-severe traumatic brain injury (TBI). The $389,813 award to the University of...

This $768,122 Project Grant from the National Institute of General Medical Sciences will support the development of statistical software to predict adverse medical events in preterm infants using multi-sensor streaming data. The awardee, William D Shannon Consulting LLC doing business as Biorankings, will develop an algorithm to transform sensor data from neonatal intensive care units into graphical representations of associations. Decision rules from statistical process control will then...

This $244,306 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an artificial intelligence-enabled coaching system to enhance surgical teamwork in cardiac operating rooms. Led by researchers at Brigham and Women's Hospital in Houston, Texas, the grant aims to design multimodal sensing hardware, data-driven algorithms, and an interface to monitor, assess, and improve collaboration among healthcare...

This $100,000 Project Grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems supports the development of a 3D human stem cell cardiac model for cardiac electrophysiology medical device safety assessment. Funded under the NSF Engineering program (CFDA 47.041), this award will allow the University of Maryland, College Park to create a novel in vitro model for evaluating the safety and efficacy of cardiac medical devices through January...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $899,421 to Vanderbilt University to develop artificial intelligence (AI)-assisted technologies that support reflection-based learning in nursing simulation training. The key products delivered under this 3-year award, beginning October 1, 2024, include: A multimodal data analysis pipeline to collect and integrate learning...

This $305,000 project grant awarded by the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), supports the development of a clinical decision support system (CDSS) called Sepsis FLO. The CDSS is designed to precisely guide blood volume diagnosis and treatment for sepsis patients. Key activities include: 1) Developing an alpha prototype of the CDSS through user-centered design; 2) Validating three functional...