Project Grant 2524831
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $200,000 to Oakland University aims to develop a novel low-cost, wireless 3D ultrasound imaging system for use in low-resource settings. The key goals are to: 1) establish quantitative tools using signal processing and artificial intelligence to extract ultrasound-derived biomarkers for improved breast cancer diagnosis, and 2) develop a robust calibration, registration, and sensor fusion protocol to...
- This $175,000 National Science Foundation project grant supports the development of multi-modal soft tissue characterization technologies for non-invasive breast imaging at the University of Massachusetts Dartmouth from April 2022 through March 2024. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the research aims to establish optimization algorithms and parameters for visualizing breast tissue cross-sections non-invasively using an integrated...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award (CFDA 47.070) of $195,000 will fund the development of a weakly-supervised breast cancer detection system using active and weakly-supervised learning techniques to improve breast cancer diagnosis from ultrasound images. The project aims to create a deep learning model that can detect breast cancer effectively with minimal annotations, addressing the challenges of noisy, low-contrast...
- This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities (CFDA 47.083) program supports the development of an innovative, intelligent surgical probe for prostate cancer treatment. The project aims to create an edge artificial intelligence (AI) system-on-chip for bioimpedance analysis that can accurately distinguish cancerous from healthy tissue during prostate removal surgery. The novel technology being developed includes an adaptive filter to...
- This Project Grant award of $672,087.00 was provided by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under the federal Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The award aims to improve the diagnostic accuracy and cost-effectiveness of breast cancer screening through the development of an AI system that can determine the necessity of supplemental screening ultrasounds for women with dense breasts....
- The National Science Foundation Division of Industrial Innovation awarded a $500,000 Project Grant to the Massachusetts Institute of Technology from August 1, 2021 to July 31, 2024. The grant supports the development of a high-performance, low-cost chip-scale platform for medical imaging under the NSF Engineering program (CFDA 47.041). MIT will leverage the funding to create a new medical imaging technology that integrates photonics, microfluidics, and electronics onto a single silicon chip. The...
- The National Science Foundation awarded a $500,000 Project Grant to the Massachusetts Institute of Technology from March 2021 to February 2026 under the Engineering program (CFDA 47.041). The grant funds the CAREER: CONFORMABLE PIEZOELECTRICS FOR SOFT TISSUE IMAGING project. The project aims to develop conformable piezoelectric materials and devices for soft tissue imaging applications. Piezoelectric materials can generate electric charges when subjected to mechanical stress, making them...
- The National Science Foundation (NSF) awarded a Project Grant titled "PFI-RP: TOWARDS DEMOCRATIZATION OF ULTRAFAST 3D ULTRASOUND IMAGING" under the Technology, Innovation, and Partnerships (CFDA 47.084) federal grant program. The $840,292 grant, awarded to Duke University, aims to develop and disseminate a transformative three-dimensional (3D) ultrasound imaging technology that provides an accessible and practical solution for comprehensive tissue examination in clinics. The project...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant, with the CFDA number 47.070, provides $203,981 in funding to Kean University to develop a weakly-supervised breast cancer detection system using active and weakly-supervised learning techniques applied to breast ultrasound imaging. The project aims to create a deep learning model that can effectively detect breast cancer in ultrasound images with minimal reliance on costly manual...
- This SBIR Phase I project, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop an innovative screening tool for early detection of breast cancer, especially in women with dense breasts. The $305,000 award, granted on February 1, 2025, with a completion date of January 31, 2026, will fund the development of an AI-powered device that can accurately extract surface temperature data from infrared images to...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $500,000.00 to the Massachusetts Institute of Technology (MIT) to develop a wearable, real-time 3D ultrasound system optimized for wide-angle, high-resolution volumetric imaging of the breast. The goal of this system is to improve access to early breast cancer detection, especially for individuals with dense breast tissue or limited access to imaging services, as an adjunct to routine mammography. The project, running from October 1, 2025 to September 30, 2028, will evaluate the diagnostic performance of the ultrasound system in clinical studies and generate datasets to support the development of AI tools for early anomaly detection, aligning with NSF's mission to improve national health outcomes.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 8/18/25 |