Project Grant R03CA313568
- Federal Grant Award Summary Baylor University received a Project Grant award from the National Cancer Institute (NCI) under the Cancer Cause and Prevention Research program (CFDA 93.393) to develop innovative artificial intelligence-driven methods for accelerating the discovery of dual-targeted cancer theranostic agents. The award, obligated on September 4, 2025, with a completion date of August 31, 2029, supports research focused on designing bispecific small molecule inhibitory conjugates...
- Federal Grant Award Summary Baylor University received a $545,000 Project Grant from the National Cancer Institute (NCI) under the Cancer Biology Research program (CFDA 93.396), awarded May 1, 2026, with completion targeted for April 30, 2029. The research focuses on identifying tumor cell autonomous and non-autonomous mechanisms by which Lipocalin-2 (LCN2/NGAL) promotes metastatic progression in solid tumors, particularly breast and pancreatic cancers. The project employs single-cell spatial...
- Federal Project Grant Award Summary Baylor College of Medicine received a $411,404 Project Grant from the National Cancer Institute under the Cancer Biology Research program (CFDA 93.396) awarded on August 20, 2025, with a completion date of July 31, 2027. This research initiative aims to identify genes with a significant deficit of loss-of-function (LOF) mutations in lung tumors, a novel approach to cancer-related gene identification. The project utilizes statistical regression modeling and...
- Federal Project Grant Award Summary Baylor College of Medicine received a $191,681 Project Grant from the National Cancer Institute (NCI) under the Cancer Research Manpower program (CFDA 93.398), effective July 1, 2026 through June 30, 2029. The award supports biomedical research training and workforce development focused on cancer research aligned with the National Cancer Program. As a research-intensive academic health sciences institution, Baylor will provide structured training opportunities...
- Federal Project Grant Award Summary Award Details: Baylor College of Medicine received a $197,600 Project Grant from the National Cancer Institute under the Cancer Research Manpower program (CFDA 93.398), awarded December 1, 2025, with completion targeted for April 20, 2027. Products and Services: This award funds the development and validation of RECON (Reconstitution of Endogenous Control), a novel immune tolerization strategy designed to advance cancer research by enabling researchers to...
- Federal Grant Award Summary The National Cancer Institute awarded a $825,627 Project Grant (CFDA 93.393: Cancer Cause and Prevention Research) to the University of California, Los Angeles, effective May 1, 2026 through April 30, 2031. The award funds development of advanced artificial intelligence models to improve breast cancer prognosis by integrating whole slide image (WSI) pathology data with clinical prognostic factors. The research deliverables include: (1) benchmark models for...
- Federal Project Grant Award Summary Rice University received a $104,278 Project Grant award from the National Cancer Institute (NCI) under the Cancer Research Manpower program (CFDA 93.398), effective January 11, 2026, with completion targeted for June 30, 2026. The award supports the development of an automated multimodal, multiscale deep learning algorithm for cervical cancer screening in low- and middle-income countries (LMICs). Building on existing low-cost multimodal colposcope hardware...
- Federal Grant Award Summary Brown University received a $100,228 Project Grant from the National Cancer Institute under the Cancer Research Manpower program (CFDA 93.398), awarded December 1, 2026, with completion targeted for May 31, 2028. The research project develops innovative deep learning (DL) architectures to predict cancer recurrence and treatment non-response across three solid tumor types: glioma, lung adenocarcinoma (LUAD), and breast invasive carcinomas (BRCA). Utilizing genomic...
- Federal Grant Award Summary Baylor College of Medicine received a $681,330 Project Grant award from the National Cancer Institute under the Cancer Treatment Research program (CFDA 93.395) on May 13, 2026, with a completion date of April 30, 2031. The award funds research to dissect the mechanisms of epoxide hydrolase 2 (EPHX2)-deficient bladder cancer and identify metabolic and immunologic vulnerabilities that can be targeted therapeutically. The research employs an integrative analytical...
- Federal Grant Award Summary Wake Forest University Health Sciences received a $402,728 Project Grant from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394), awarded July 16, 2025, with completion targeted for June 30, 2027. The award supports development of interpretable deep learning models for multi-modality imaging-based gastric cancer prognosis. The project addresses the critical clinical need to improve prognostic accuracy and...
Baylor University received a $168,839 Project Grant from the National Cancer Institute under the Cancer Cause and Prevention Research program (CFDA 93.393) awarded on July 17, 2026, with a completion date of June 30, 2028. The project, titled "Refining Small-Area Cancer Surveillance Through AI-Driven Spatial Clustering," will develop and test geographic artificial intelligence (GeoAI) methodologies—specifically neural cellular automata and graph neural networks—to create sub-county geographic boundaries for improved cancer surveillance. Using individual-level cancer incidence data from the Texas Cancer Registry (2018-2022), the research will focus on breast, colorectal, and lung cancers, which collectively account for approximately 50% of cancer incidence and 45% of cancer deaths in Texas. The project addresses a critical gap in cancer surveillance infrastructure by moving beyond traditional county-level reporting, which obscures meaningful geographic variation in population cancer burden and creates data suppression issues in rural areas while masking high-burden neighborhoods in urban counties. The GeoAI approach will balance competing objectives including minimizing data suppression, maximizing geographic granularity, and ensuring demographic homogeneity to enable more responsive public health action and targeted cancer prevention and control efforts across Texas' demographically diverse regions.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $168.8k | 7/17/26 |