Project Grant R44CA112966

This $276,000 National Science Foundation award through the Technology, Innovation, and Partnerships program will support the development of a cognitive dashboard software platform to aid neurosurgical clinical decision-making. Mindtrace Technologies, Inc. will deliver a turn-key software solution that enables neurosurgical teams to map individual patient brain functions, assess and track measures of mental performance throughout care, and integrate with existing medical imaging and data...

This Project Grant award from the National Science Foundation (NSF), under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program, supports the development and validation of a novel, projection-based surgical navigation platform by Illuminant Surgical Inc. The $274,865 award, effective January 15, 2024, aims to create a system that projects visual anatomical references and guidance directly onto a patient's skin during minimally invasive spinal procedures. This is expected to...

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,...

Kitware Inc. was awarded a $455,545 Project Grant from the National Institutes of Health National Institute of Mental Health to develop a computational framework for distributed registration of massive neuroscience images. The goal of the project is to create an easy-to-use, distributed computation image registration tool based on the open source Insight Toolkit that will map large neuroscience images from techniques such as light-sheet fluorescence microscopy into a common reference frame. This...

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 $1,336,000 Project Grant awarded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the CFDA 93.286 "Discovery and Applied Research for Technological Innovations to Improve Human Health" program supports the development of a rapid, motion-robust, and low-gadolinium MRI technology for pediatric brain tumors. The key objectives are to (1) develop cutting-edge technologies for rapid, motion-robust, and quantitative MRI scans to reduce sedation needs...

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...

Federal Cooperative Agreement Summary Award Details: Illuminant Surgical Inc. received a $1.25 million Cooperative Agreement from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) on August 15, 2025, for the SBIR Phase II project titled "Novel Camera-Projector Device Leveraging Non-Invasive Registration and Projected Augmented Reality for Navigation in Minimally Invasive Spine Procedures." The project extends through...

Federal Project Grant Award Summary Harvard Medical School received a $742,261 Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), effective August 5, 2025, with completion targeted for May 31, 2029. The project delivers three interconnected technological innovations for enhanced head computed tomography (CT) scan interpretation:...

This three-year, $651,130 National Science Foundation Project Grant will support the development of Pathoradi, an interactive web server for artificial intelligence-assisted radiologic-pathologic image analysis, correlation and visualization at Howard University. The server aims to address current challenges in comparing radiologic and pathologic images through three components: deep learning algorithms for quantifying cell morphological phenotypes in whole brain sections, a graphical and...