Project Grant 2607887
- Federal Grant Award Summary This collaborative research project grant of $317,248 was awarded on September 1, 2025, by the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041). The award, which runs through August 31, 2028, supports fundamental research at the University of Illinois to develop a hierarchical analytical framework for understanding and optimizing fracture resistance in mechanical metamaterials (MMMs)....
- Federal Project Grant Award Summary Award Overview and Research Objectives The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $529,945 Project Grant to the New Jersey Institute of Technology (NJIT) effective July 1, 2026, through June 30, 2029. The project investigates how aging and diabetes-related changes to the extracellular matrix (ECM) influence cancer cell invasion and metastasis in breast cancer. The research will develop a quantitative, energy-based...
- Federal Project Grant Award Summary Virginia Tech has been awarded $270,189 by the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041) to conduct collaborative research investigating bone fragility in aging and type-2 diabetic populations. The award, effective July 15, 2025 through June 30, 2028, supports a research program that will generate fundamental scientific knowledge regarding the biomechanical mechanisms...
- Federal Grant Award Summary The University of Utah received a $328,416 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), awarded July 15, 2025, with completion scheduled for June 30, 2028. This collaborative research initiative investigates the biomechanical mechanisms underlying bone fragility in aging and Type-2 diabetic populations by examining how advanced glycation end product (AGE)...
- Federal Grant Award Summary The National Science Foundation's Directorate for Engineering (CFDA 47.041) awarded the University of Alabama in Huntsville a Project Grant of $538,930 effective August 1, 2026, through July 31, 2031, to develop computational modeling and artificial intelligence (AI) tools for analyzing circulating tumor cell (CTC) clusters in the bloodstream during metastatic cancer progression. The primary deliverables include a three-component computational modeling framework...
- This Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) supports research to understand how human bone tissue dynamically adapts at the nanoscale level under various loading conditions. The $719,538 award to the Trustees of the University of Pennsylvania, made on May 1, 2024, will investigate the real-time rearrangement and deformation of the nanoscale components of healthy and osteoporotic bone tissue when subjected to cyclic loading....
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded $298,403 to the New Jersey Institute of Technology (NJIT) on September 1, 2026, for a three-year collaborative research project extending through August 31, 2029. The project delivers fundamental research and predictive modeling frameworks focused on understanding how the mechanical properties of soft, deformable nanoparticles interact with cell membrane...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Directorate for Engineering, through its Division of Chemical, Bioengineering, Environmental, and Transport Systems (CFDA 47.041), awarded $344,401 to the University of Denver for a three-year collaborative research project running from September 1, 2026, through August 31, 2029. This project, conducted in partnership with Boise State University, will develop an integrated computational "digital twin" model of...
- Federal Grant Award Summary Award: Project Grant | Funding Agency: National Science Foundation (NSF), Division of Materials Research | Program: Mathematical and Physical Sciences (CFDA 47.049) | Award Date: July 15, 2026 | Total Obligation: $450,000 | Performance Period: July 15, 2026 – June 30, 2029 | Awardee: The Regents of The University of Colorado The University of Colorado will conduct research to develop biotechnology solutions that optimize the transport and retention of therapeutic...
- Federal Grant Award Summary Oregon Health & Science University received a $1,042,004 Project Grant from the National Cancer Institute (NCI) under the Cancer Biology Research program (CFDA 93.396), awarded on March 26, 2026, with a completion date of February 28, 2031. The award funds development and validation of a microphysiological bone metastasis-on-a-chip platform designed to advance understanding of prostate cancer metastasis to bone, which occurs in over 80% of advanced prostate cancer...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded $549,705 to The Methodist Hospital Research Institute on September 15, 2026, for the development of OSTEO (Osseous System Twin for Experimental Optimization), a computational digital twin platform designed to model bone metastases and predict fracture risk. The award, which extends through August 31, 2029, will deliver an integrated 3D modeling platform that combines microcomputed tomography imaging, experimental cancer data, and bone-strength measurements to simulate how cancer weakens bone and progresses to fracture. OSTEO will incorporate agent-based biological modeling of tumor-bone-vascular dynamics coupled with finite element method analysis to estimate bone degradation and fracture susceptibility, initially validated using murine experimental data before operational deployment. The project will produce both a research platform and comprehensive educational materials for broad dissemination to the scientific and clinical communities. Deliverables include a freely available point-and-click application for researchers, physicians, students, and educators; instructional videos and case studies explaining model functionality; and structured workshops and hands-on demonstrations targeting students and the public to illustrate multidisciplinary integration of engineering, cancer research, and machine learning methodologies. This approach aims to reduce reliance on animal testing while advancing predictive capability for bone metastasis research, with particular relevance to renal and prostate cancer patients where bone metastases occur in 40–80% of cases.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $549.7k | 7/15/26 |