The National Institute of General Medical Sciences (NIGMS) awarded a $275,756 Project Grant under the Biomedical Research and Research Training program (CFDA 93.859) to Rewire Neuroscience LLC, a woman-owned small business in Oregon. The funding supports the development of PipSqueak Pro, an AI-powered computer vision platform that aims to democratize access to advanced machine learning techniques for automated biomedical image analysis. The platform seeks to reduce human bias, subjectivity,...
This Project Grant award from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training (CFDA 93.859) program, provides $378,714.00 to the Rochester Institute of Technology (RIT) to develop novel bio-statistical graph learning strategies for structural characterization of large-scale disease pathways and systematic biomedical data analytics. The overarching research goal is to leverage graph neural networks and hierarchical Bayesian inference...
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 federal 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), provides $1,152,939 to Duke University to develop a highly innovative wireless MRI scanner architecture. The key products and services to be delivered include: A stand-alone, platform-independent wireless integrated radio-frequency/shim coil array with an on-board...
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $502,841 Project Grant under the "Discovery and Applied Research for Technological Innovations to Improve Human Health" (CFDA 93.286) program to The Regents of the University of California, operating as Lawrence Berkeley National Laboratory (LBNL). The funding will support research and development of a novel detector readout concept for monolithic scintillation detectors that enables direct digitization...
This Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under CFDA Program 93.286 "Discovery and Applied Research for Technological Innovations to Improve Human Health", supports the development of a fast, comprehensive brain MRI technique. The $884,573 award aims to create an 8-minute brain MRI exam that captures a variety of quantitative and qualitative MRI contrasts, as well as time-resolved gadolinium-based enhancement, in order to...
This federal Project Grant award, funded by 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), supports the development of an AI-powered system to enhance the detection and tracking of metastatic colorectal cancer using computed tomography (CT) imaging. The $718,456 award, with a project period from July 1, 2025 to May 31, 2029, will enable researchers at the...
The federal Project Grant award R56EB033347, in the amount of $499,291.00, was provided by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the "Discovery and Applied Research for Technological Innovations to Improve Human Health" (CFDA 93.286) program. The award will support the development of breakthrough technology to enable future compact, mid-field (0.7 Tesla) magnetic resonance imaging (MRI) systems, with the goal of improving accessibility and...
This federal Project Grant award of $194,022, provided by 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), aims to facilitate the transition of a physician-scientist at Massachusetts General Hospital (MGH) to independence as a translational oncologist. The goal is to use deep learning (DL) to analyze and integrate clinically acquired data, including...
This Project Grant award, valued at $530,511 and effective from March 1, 2025 through December 31, 2028, was provided by 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). The award aims to significantly enrich the Infant Brain Extraction and Analysis Toolbox (IBEAT), a deep learning-based software platform developed by the University of North Carolina at...
Rnet Technologies Inc. received a $768,283.44 Project Grant award from the National Institutes of Health's National Institute of Biomedical Imaging and Bioengineering on September 30, 2021 to develop techniques enabling next generation machine learning for large scale image analysis through March 29, 2022. Under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), Rnet will develop software to automatically map deep learning networks implemented in common machine learning frameworks to one or more graphics processing units for arbitrarily large input images and activation layers. The software will include a performance modeler to estimate runtime on available GPU accelerators. These strategies will allow for the development of novel networks purpose-built for medical applications involving whole slide digital pathology images and other large medical images like three dimensional MRI or CT scans.