Cooperative Agreement 2304514
Award Date
7/15/23
Completion Date
6/30/25
Dollars Obligated
$980K
Federal Agency
National Science Foundation
Awardee
Quantivly Inc. (P68VNM5WG9G3)
Federal Grant Program
47.084
Assistance Type
Cooperative Agreement
Place of Performance
Somerville, MA 02144, USA
Similar Awards
Quantivly Inc. received a $255,499 National Science Foundation Technology, Innovation, and Partnerships project grant to develop a unified data description layer for magnetic resonance imaging scanners. Under this award made on February 1, 2021 with a completion date of May 31, 2022, Quantivly will deliver a standardized framework to describe imaging data generated by MRI machines. This will help facilitate data sharing and reuse across different scanner models and manufacturers. The NSF...
This Cooperative Agreement award, provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), will fund the development of a new generation of compact, lightweight computed tomography (CT) imaging systems. The $1,250,000 award to X-Sight Incorporated will enable the creation of a distributed X-ray source technology that replaces mechanical rotation with arrays of individual X-ray sources. This will result in faster, more...
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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Quantireal Inc. aims to develop computational methods to generate realistic synthetic data for training machine learning algorithms used in advanced passenger and personal property screening technologies. The project will focus on creating a cost-efficient radiation physics solver to virtually scan representative object assemblies and generate precisely annotated...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $800,000 to develop an intelligent radiology platform through human-machine cooperation. The awardee, Georgia Tech Research Corporation, will create an accurate medical image labeling tool using state-of-the-art artificial intelligence algorithms to maximize accuracy and minimize inter- and intra-reader variability among radiologists. The tool will provide...
Innovision LLC received a $255,735 Project Grant award from the National Science Foundation on January 15, 2022 to complete work by September 30, 2022. The award was made under the NSF Engineering program (CFDA 47.041) to develop a patient digital twin and performance capture system for scoliosis physiotherapy. The system will utilize integrated digital environments, parametric musculoskeletal models, and dynamic avatars to simulate human-robot interaction for scoliosis treatment. Such...
This $255,807 National Science Foundation project grant will fund the development of an AI-assisted software system to accelerate the labeling of medical tomographic images. Administered through the NSF Directorate for Engineering's Engineering program (CFDA 47.041), the grant aims to extract new information from medical images and improve patient outcomes. Alienbyte Scientific Software Inc. will apply machine learning algorithms to create an adaptive system that evolves to increase the speed,...
This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $220,000 to Yale University from September 1, 2023 through August 31, 2027. The project aims to develop a smarter artificial intelligence (AI) system to better understand and analyze complex medical images, such as those from multiple scans of a patient. The research team will tackle challenges to make the AI system more scalable, interpretable,...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) of $499,715 provides funding to Texas A&M Engineering Experiment Station (Tees) to develop a digital twin for an intelligent electromagnetic sensor on a chip (IEM-SOC). The key objectives are to: Produce a digital twin for the design and performance testing of an intelligent RF receiver (EM sensor) capable of real-time operations with extremely low energy...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Cooperative Agreement award of $1,200,991 to Mindtrace Technologies, Inc. supports the development of a first-of-its-kind cognitive dashboard software platform to improve neurosurgical planning and predict post-operative cognitive outcomes. The project aims to integrate multiple data sources, including behavioral tests and functional/structural brain mapping, using AI and machine learning to enable...