Project Grant 2527297
- This Project Grant award of $100,000 from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) will support a collaborative research project at Yale University focused on developing an Artificial Intelligence (AI)-enhanced multiphysics and multiscale framework for mechanistic modeling of erythrophagocytosis. The project aims to investigate how biochemical signaling pathways and red blood cell biomechanics are intertwined in dictating the erythrophagocytosis process,...
- This Project Grant award, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049), supports the development of an AI-enhanced multiphysics and multiscale framework to investigate the complex process of erythrophagocytosis - the recognition, engulfment, and digestion of aged or diseased red blood cells by phagocytic cells. The $100,000 award to the University of Georgia aims to validate the hypothesis that...
- This $350,000 federal Project Grant was awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The goal of the research is to develop accurate mathematical models and computer simulations for studying non-equilibrium systems with memory effects, such as those found in biosystems, plasma evolution, and solid-state nanostructures. The Principal Investigator will focus on analytical and numerical approaches to statistical transport...
- This federal Project Grant award of $175,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of new theoretical frameworks for self-supervised representation learning and their applications in biomedical research. The project aims to advance the theoretical foundations of this machine learning approach and expand its use in biomedical domains where labeled data is scarce. Key anticipated outcomes include new...
- This federal Project Grant award of $100,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support collaborative research to better understand bacterial locomotion through complex biological fluids like mucus. The research will combine mathematical modeling, computer simulations, and laboratory experiments to investigate how bacteria, using their flagella, propel themselves through viscoelastic fluids. The project aims to develop a...
- This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $292,686 to Brandeis University to develop coarse-grained models and numerical methods for simulating the behavior of fluids containing suspended elastic objects, such as red blood cells and platelets, in confined geometries. The goal is to accurately capture the effects of boundary interactions and accelerate simulations of these phenomena, which are relevant for...
- This $208,784 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports a collaborative research project to study the emergent dynamics and scaling laws of bioinspired lipid membranes. The University of Arizona, as the primary awardee, will integrate experimental methods such as neutron spectroscopy, NMR, and flicker spectroscopy with molecular dynamics simulations. This integrated approach aims to establish the...
- This $240,000 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting research at Yale University to develop new computational frameworks that combine large language models with neural operator learning techniques. The goal is to improve the ability to model and analyze spatiotemporal phenomena in biomedical research, such as tracking cellular and brain processes over time and...
- This federal Project Grant award of $224,582, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Program (CFDA 47.070), supports the development of a computational framework that integrates knowledge-driven and data-driven artificial intelligence (AI) approaches to recommend effective immunotherapeutic cell designs for cancer treatment. The framework aims to enable transformative cancer immunotherapy treatment designs by leveraging...
- This Project Grant award of $479,660, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049), will support a collaborative research project between Auburn University and Tuskegee University. The project aims to train undergraduate students, graduate students, and postdoctoral researchers to conduct advanced research at the intersection of mathematics, artificial intelligence (AI), and data science. Through...
This federal Project Grant award of $100,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of an Artificial Intelligence (AI)-enhanced multiphysics and multiscale framework to investigate the mechanistic modeling of erythrophagocytosis - the complex process by which phagocytic cells recognize, engulf, and digest aged or diseased red blood cells. The project aims to quantify the impact of biochemical signaling pathways and red blood cell biomechanics on the engulfment process, with the goal of advancing the understanding of the pathogenesis of various hemolytic anemias and the mechanisms of macrophage-based cancer immunotherapy. The award will fund the collaborative research efforts of the University of Pennsylvania, a prominent private research university, over a period of 3 years from September 1, 2025 to August 31, 2028. The research outcomes will be disseminated through integration into university courses and the engagement of undergraduate and high school students in the project.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $100.0k | 8/8/25 |