Project Grant R15CA297754
- 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 $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...
- The National Cancer Institute (NCI) awarded a $700,611 Project Grant under the Cancer Cause and Prevention Research program (CFDA 93.393) to the Sloan-Kettering Institute for Cancer Research. The grant, titled "Practical Randomized Controlled Trial of Artificial Intelligence for Melanoma Diagnosis (PRACTA-MEL)," aims to determine the benefits and barriers to clinical adoption of AI systems for improving melanoma detection and reducing the number of unnecessary biopsies. The project...
- The National Cancer Institute (NCI), part of the U.S. Department of Health and Human Services, awarded a $677,998 Project Grant under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to The Medical College of Wisconsin, Inc. (MCW). The project aims to externally validate and integrate radiopathomic models developed using autopsy and biopsy samples to better delineate the true extent of glioma tumors and identify microscopic infiltrating tumor cells. The research will refine...
- The University of Michigan was awarded a $2,284,054 Project Grant by the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research (CFDA 93.394) federal grant program. The 4-year grant, which began on September 1, 2025, will support research to transform molecular cancer screening through the development of stimulated Raman histology and deep neural networks. The project aims to improve access to molecular cancer testing by creating innovative diagnostic tools and methods...
- This $681,215 federal Project Grant was awarded on September 1, 2025 by the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) to New York University (NYU) to develop AI-powered diagnostic tools for early prostate cancer detection. The project aims to leverage machine learning models to infer the presence of clinically significant prostate cancer using a minimal amount of degraded MRI data, in order to enable widespread, cost-effective population-level disease...
- The National Cancer Institute (NCI) has awarded a $572,490 Project Grant to The Regents of the University of California, San Francisco (UCSF) under the federal Cancer Detection and Diagnosis Research program (CFDA 93.394). The project, titled "PILLAR: Multi-Modal Imaging AI Models for Breast Cancer Risk", aims to develop an AI-powered tool to predict breast cancer risk using longitudinal data from mammograms, tomosynthesis, and MRI scans. The goal is to create more accurate cancer risk...
- The National Cancer Institute (CFDA 93.396 - Cancer Biology Research) awarded a $1,625,853 Project Grant to New York University (NYU) on December 13, 2024. The grant will support NYU's research to map and characterize the role of 3D "hubs" - regulatory DNA elements that interact with multiple loci - in the context of T-cell leukemia (T-ALL), early T-cell progenitor leukemia (ETP-ALL), and T-cell lymphoma. The project aims to better define how these 3D chromatin structures are rewired...
- The National Cancer Institute (NCI), a component of the National Institutes of Health, awarded a $413,509 Cooperative Agreement to Cornell University under the Cancer Biology Research program (CFDA 93.396). The project aims to develop a deep learning-based pipeline named PIONEER to generate comprehensive 3D models of the human interactome, addressing a key unmet need in precision oncology. By integrating PIONEER with the PREPPI pipeline, the project will generate atomic-resolution 3D models...
- The National Cancer Institute (NCI) awarded a $455,111 Project Grant under CFDA 93.393 "Cancer Cause and Prevention Research" to the Sloan-Kettering Institute for Cancer Research in New York. The 2-year grant, awarded on September 5, 2023, will support research to "Leverage the Hidden Genome to Recover the Missing Heritability of Cancer." The project aims to 1) estimate additional heritability that can be explained by the "hidden genome" (regions of unknown...
The National Cancer Institute (NCI) awarded a $591,468 Project Grant on August 6, 2025 under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to The Research Foundation for the State University of New York (SUNY Oswego). The funding supports research to develop explainable machine learning models based on deep cancer pathophysiology to improve cancer diagnosis, risk stratification, and therapeutic recommendations. The project aims to address key gaps in integrating heterogeneous molecular cancer data, leveraging synergies with deep learning, and extending the approach to therapeutic recommendations. The goal is to create highly accurate and explainable models that can predict cancer progression and severity in a clinically trustworthy format. The research will be conducted by an interdisciplinary team at SUNY Oswego over the 3-year project period ending on July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $591.5k | 8/5/25 |