Project Grant R01EB036536
- This $1,171,872 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) aims to develop AI-assisted quantitative photon-counting-detector CT imaging capabilities for cytogenetic risk prediction and treatment response assessment in multiple myeloma. The key products and services to be delivered include: Development and validation of a deep...
- This $194,022 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) supports research led by the Massachusetts General Hospital (MGH) to develop advanced deep learning models for predicting therapeutic response in cancer patients with brain metastases. The grant will fund the candidate, an oncologist at MGH, to build upon his expertise in...
- This $300,000 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), supports the development of interpretable machine learning tools to uncover imaging biomarkers associated with breast and lung cancer. The project aims to create dimension reduction techniques to visualize features from deep learning models, establish an interpretable...
- This $696,824 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), supports research at the University of North Carolina at Chapel Hill (UNC-CH) to develop robust and interpretable multi-modal AI/ML models for precision medicine. The project aims to address key challenges in integrating complex, heterogeneous biomedical data...
- 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), aims to improve the diagnostic accuracy and cost-effectiveness of breast cancer screening through the development of an AI system. The $672,087 grant, awarded on August 12, 2025, will fund a research project at New York University School of Medicine to build a...
- This federal Project Grant award of $620,521, provided by the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research), supports an integrated mathematical modeling approach to define how the aging bone ecosystem drives multiple myeloma evolution and treatment response. The key products and services to be delivered under this 5-year award, which commenced on January 1, 2025, include: Developing a novel hybrid cellular automata mathematical model to describe the...
- This $435,827 Project Grant from the National Cancer Institute (NCI) under the CFDA 93.394 Cancer Detection and Diagnosis Research program supports research conducted by New York University (NYU) School of Medicine to develop deep learning methods for analyzing mass spectrometry imaging (MSI) data. The goal is to make MSI data more accessible to existing machine learning workflows by expanding the dimensionality of the data structure to treat each metabolite or lipid as an individual "color...
- This National Cancer Institute (CFDA 93.394 Cancer Detection and Diagnosis Research) Project Grant award of $683,089 to the Sloan-Kettering Institute for Cancer Research supports the development of an improved, interpretable deep learning algorithm called DeepLIIF for more reproducible and accurate PD-L1 immunohistochemistry (IHC) biomarker quantification. The goal is to leverage virtual multiplex immunofluorescence (MPIF) restaining and large, diverse datasets across lung and bladder cancers to...
- This Project Grant award of $306,798 from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) aims to develop an artificial intelligence-based system to accurately identify malignant lymph nodes. The key objectives are to: Create a lymph node segmentation model to enable extraction of radiomic features critical for malignancy classification. Develop both cloud-based and standalone desktop deployment options for the classification model to...
- The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $594,891 Project Grant under the "Discovery and Applied Research for Technological Innovations to Improve Human Health" (CFDA 93.286) program to the Illinois Institute of Technology (IIT). The grant aims to develop deep-learning anthropomorphic model observers (AMO) as a substitute for human observers in studies evaluating image quality and diagnostic performance. The project will create annotated image...
This 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) aims to develop advanced deep learning algorithms to enhance the management of multiple myeloma (MM), a type of hematologic cancer. The $755,336 award, with a period of performance from August 1, 2025 to June 30, 2029, will focus on two key objectives: 1) Developing automated segmentation tools using whole-body MRI to quantify biomarkers such as bone lesions, fat fraction, sarcopenia, and bone marrow density for assessing disease progression; and 2) Integrating these biomarkers with clinical, biological, and genetic factors to create longitudinal AI models that can predict patient outcomes, including treatment response and overall survival. The project aims to revolutionize personalized medicine for MM patients by leveraging advanced imaging techniques and AI-powered analytics.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $755.3k | 7/28/25 |