Project Grant R16EB039652
- The National Institute of Biomedical Imaging and Bioengineering awarded Rensselaer Polytechnic Institute $366,006 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop a simulation-based inference framework that transforms functional near-infrared spectroscopy (fNIRS) data analysis through artificial intelligence. The project delivers a biophysically detailed simulator integrating realistic models...
- The National Institute of Biomedical Imaging and Bioengineering awarded New York University School of Medicine $114,562 on June 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop and validate a novel diffusion MRI framework for prostate cancer imaging. The recipient will develop a fast, high-resolution, distortion-free diffusion-weighted imaging protocol for the prostate that overcomes limitations in current...
- The National Institute of General Medical Sciences awarded $430,109 to The Regents of the University of California, operating Lawrence Berkeley National Laboratory, on June 1, 2026, under the Biomedical Research and Research Training program (CFDA 93.859) to develop deeply subwavelength near infrared imaging technology using avalanching nanoparticles. The project addresses fundamental limitations of live-cell optical microscopy by creating avalanching nanoparticles (ANPs) that upconvert incident...
- The National Institute of Biomedical Imaging and Bioengineering awarded the Trustees of Boston University $232,550 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop a mid-infrared photothermal fiber probe for label-free imaging and biomolecular composition analysis in endoscopic applications. The project will develop a fiber-based probe that integrates mid-infrared photothermal imaging with...
- The National Institute of Biomedical Imaging and Bioengineering (NIBIB), part of the Department of Health and Human Services National Institutes of Health, awarded the University of Texas at Arlington $339,676 on August 18, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop light-responsive osmium compounds as metallo-reagents for biomedical imaging and photoactivation. The project develops osmium-based...
- The National Institute of General Medical Sciences awarded New York University $185,462 on August 10, 2026, under the Biomedical Research and Research Training program (CFDA 93.859) to develop machine learning schemes that predict rare biomolecular events using short molecular dynamics trajectories rather than computationally prohibitive long simulations. The research addresses the challenge of characterizing infrequent biological phenomena—such as insulin dimer dissociation, which can require...
- The National Science Foundation Division of Computing and Communication Foundations awarded New York University $335,278 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop human-in-the-loop visual analytics approaches for biomedical spatial profiling data. The project will create interactive visualization tools and a biomedical atlas with embedded analytics to enable researchers to steer and interpret artificial intelligence systems...
- This Project Grant award of $1,249,099 from the National Institutes of Health (NIH) Trans-NIH Research Support program (CFDA 93.310) supports the development of a new class of small, bright, tunable, and biocompatible near-infrared (NIR-II) fluorescent probes for deep tissue molecular imaging. The University of California, Irvine (UC Irvine) will create a palette of DNA-stabilized silver nanoclusters (AgN-DNA) that emit in the NIR-II tissue transparency window (1,000-1,700 nm). These new...
- The National Institute of Biomedical Imaging and Bioengineering awarded New York University $186,504 on July 3, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop continuous flow manufacturing processes for antibody-loaded nanoparticles as a non-opioid therapy for oral cancer pain. The award funds development of the Biologics Sequential Nanoprecipitation (BIOSNAP) process, a novel manufacturing method designed...
- The National Institute of Biomedical Imaging and Bioengineering awarded Massachusetts General Hospital (doing business as The General Hospital Corporation's Research Management Division) $199,616 on May 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286, K99 Project Grant). The award funds development of a deep learning method that fuses three data sources—clinical notes, lab results, and images—to improve disease...
The National Institute of Biomedical Imaging and Bioengineering awarded the Research Foundation of The City University of New York $151,168 on September 5, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop machine learning-enhanced molecular modeling of near-infrared fluorescent materials for bioimaging applications. The project addresses limitations in current near-infrared fluorescent probes used for surgical guidance and deep-tissue diagnostics. Existing probes operating in the NIR-I window (650–950 nanometers) are constrained by scattering and autofluorescence, while NIR-II probes (1000–1700 nanometers), particularly polymer dots, suffer from low quantum yields caused by aggregation-induced quenching and narrow energy band gaps that impede clinical translation. The recipient will establish predictive design rules for donor-acceptor copolymers through three complementary research aims: developing supervised machine learning models to predict electronic coupling across molecular dynamics-sampled configurations; applying unsupervised machine learning methods to identify backbone conformations governing band gaps and orbital distributions; and curating high-level ab initio datasets of optoelectronic descriptors integrated with experimental measurements and data-driven optimization to discover promising copolymer frameworks. By uniting machine learning with physics-based modeling, the project will replace trial-and-error synthesis with predictive design methodologies. Work is performed in Bronx, New York. The period of performance runs through July 31, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $151.2k | 9/3/26 |