Project Grant R37CA295653
- This $1,686,258 Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) to Onc.ai, Inc. aims to further develop and validate a deep learning radiomics biomarker for improved early response assessment in metastatic cancer therapy trials. The proposed approach uses deep learning models on CT scans at baseline and follow-up time points to generate a continuous "Serial CT Response Score" that can more accurately predict overall...
- 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...
- This Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) provides $371,161 to develop advanced AI-based risk models for cervical cancer screening in low-resource settings. The project aims to leverage time-series imaging data and self-supervised learning to enhance the diagnostic accuracy of automated visual evaluation (AVE) models. The goal is to create a comprehensive risk stratification system that combines imaging data, HPV...
- This Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) in the amount of $399,112 will be used by Imvaria Inc. to adapt its fully automated, AI-powered "DigitalBX" diagnostic tool for analyzing chest CT scans to detect pulmonary nodules suspicious of lung cancer. The goal is to provide an end-to-end automated diagnostic solution implemented as a secure cloud-based application that is fully reimbursable, alleviating the cost...
- 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 federal Project Grant award, funded by the National Cancer Institute (NCI) under the Cancer Treatment Research program (CFDA 93.395), supports efforts by a Columbia University researcher to develop and implement NCI-sponsored cancer clinical trials at the NCI-designated Herbert Irving Comprehensive Cancer Center (HICCC). The $193,926 award, with a project period from September 1, 2025 to August 31, 2030, will enable the researcher to: (1) develop novel HICCC investigator-led trials for...
- The U.S. National Cancer Institute awarded a $855,249 Project Grant to the Dana-Farber Cancer Institute, Inc. (DFCI) under the Cancer Treatment Research program (CFDA 93.395). The grant supports DFCI's research to develop new approaches for targeting cell cycle proteins as potential cancer treatments. The key focus is on investigating how abnormal activation of cyclin-dependent kinases (CDKs) drives uncontrolled tumor cell proliferation, and exploring strategies to overcome limitations of...
- This $300,002 Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) will support research at Baylor University to develop an innovative artificial intelligence (AI)-driven approach for accelerating the discovery of dual-targeted cancer theranostic agents. The research aims to develop bispecific small molecule inhibitory conjugates (BSMICs) targeting two critical enzymes in cancer cell fatty acid metabolism - stearoyl-CoA desaturase-1...
- This federal Project Grant award of $505,613, provided by the National Cancer Institute (CFDA 93.394 Cancer Detection and Diagnosis Research), will support the development of statistical and computational approaches to harness genomic data and translate findings into precision prevention strategies for cancer. The key objectives are to: Develop deep learning-based methods to identify tumor subtypes linked to adverse outcomes and robust data integration approaches to assess associations between...
- The National Institute of Biomedical Imaging and Bioengineering (NIBIB) has awarded a $693,156 Project Grant (CFDA 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health) to the Dana-Farber Cancer Institute, Inc. (DFCI) to develop artificial intelligence (AI) algorithms for predicting prognosis and optimizing treatment selection for cutaneous squamous cell carcinoma (CSCC), a highly prevalent form of skin cancer. The project aims to train and validate AI...
This Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) provides $833,467 to the Dana-Farber Cancer Institute, Inc. (DFCI) to develop and deploy open-source AI tools to improve cancer clinical trial feasibility and recruitment. The key products and services to be delivered include: Extending DFCI's existing MatchMiner tool to match patients to clinical trials based on additional clinical variables beyond molecular criteria, such as cancer type, stage/burden, treatment history, and biomarkers. This will leverage novel AI methods to extract these variables from electronic health records and clinical trial protocols. Creating software frontends for cancer centers, trial investigators, and oncologists to use the AI-powered tools for two main purposes: (a) assessing the feasibility of specific clinical trials by estimating the number of eligible patients at a site, and (b) real-time patient-trial matching. The project aims to improve cancer clinical trial participation rates by addressing barriers that oncologists and patients face in identifying and accessing relevant trials. The award period runs from September 2025 through June 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $833.5k | 9/16/25 |