Project Grant 2123900
- 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 $224,994 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a new framework for digital twin modeling of Alzheimer's disease (AD). The project aims to combine clinical data, biomedical research, and advanced computational methods to create personalized digital twins capable of predicting disease progression and evaluating treatment options for individual patients. The key products or...
- This Project Grant award, valued at $175,007, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The award supports the development of a new framework for digital twin modeling of Alzheimer's disease (AD), combining clinical data, biomedical research, and advanced computational methods to enable personalized medicine. The project aims to build a unified modeling framework for...
- This $200,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will fund the development of advanced computational methods to create high-fidelity, fast-running digital twins of patient hearts and cardiovascular medical devices. The project aims to deliver: 1) novel machine learning algorithms for accurate digital twin geometry reconstruction from 3D medical images, 2) an efficient inverse method to identify in vivo...
- This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $625,000 to Duke University to develop an interpretable artificial intelligence framework for improving care of critically ill patients. The framework incorporates novel matching techniques known as Almost-Matching-Exactly to analyze observational data from patient treatment and emulate a randomized controlled trial. By matching each treated patient to similar untreated patients,...
- The National Science Foundation (NSF) awarded a $199,792 Computer and Information Science and Engineering (CISE) program grant to the University of Miami to develop novel methodologies for detecting data shifts in artificial intelligence/machine learning-enabled software as a medical device (AI/ML-SAMD) in medical cyber-physical systems. The project aims to create a framework that allows SAMDs to adapt through real-world learning, enhancing their safety and effectiveness in detecting lung cancer...
- This $760,046 federal 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 a computationally-efficient multiscale modeling framework that integrates machine learning and artificial intelligence to predict structural and functional changes in the heart due to disease progression. The project aims to build fundamental understanding of heart disease by combining techniques from...
- This $2 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities will fund research into the "Impact of Artificial Intelligence Aids on Clinical Skill Acquisition, Atrophy and Adaptation" from October 2021 through September 2025. The award is made under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), which supports basic research and education in these fields as well as monitoring science...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $519,645 to the University of Toledo Health Science Campus Division will develop a novel system to identify cognitive and affective states, behavioral patterns, and contextual factors contributing to medical errors. The project, titled "Collaborative Research: SCH: Clinical Adaptive Performance Enhancement through Human-AI Teaming (CAPE-HAT)," aims...
- This $666,667 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop innovative mathematical algorithms to enable safe automated patient monitoring, treatment guidance, and reconciliation of potentially conflicting medical treatments. The research will advance control theory, inference, and optimization to create new knowledge, leading to transformative approaches for coordinating complex interacting...
Mayo Clinic was awarded a $784,182 project grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation. The grant is part of the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under the grant, Mayo Clinic will conduct collaborative research to develop a causal artificial intelligence digital twin framework to transform intensive care delivery. The framework aims to enhance health outcomes for critically ill patients by leveraging data-driven modeling and simulation. The four-year project grant commenced September 1, 2021 and is scheduled for completion by August 31, 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $784.2k | 8/31/21 |