Project Grant R01LM014775
- This federal Project Grant award of $584,510.00, provided by the National Cancer Institute (NCI) under the Cancer Biology Research program (CFDA 93.396), supports the development of advanced spatial transcriptomics and proteomics technologies for studying tumor microenvironments. The award enables the University of Colorado-Denver to implement new imaging techniques and computational approaches to enhance the capabilities of its Human Immune Monitoring Shared Resource (HIMSR). This will allow...
- This $435,827 Project Grant from the National Cancer Institute (NCI) under the CFDA 93.394 Cancer Detection and Diagnosis Research program supports research conducted by New York University (NYU) School of Medicine to develop deep learning methods for analyzing mass spectrometry imaging (MSI) data. The goal is to make MSI data more accessible to existing machine learning workflows by expanding the dimensionality of the data structure to treat each metabolite or lipid as an individual "color...
- This federal Project Grant award from the National Cancer Institute (CFDA 93.396 - Cancer Biology Research) provides $632,300 to Carnegie Mellon University to develop an integrated ultrahigh-throughput 3D volumetric super-resolution imaging system. This system will combine a multiscale fluorescence mesoscope with expansion microscopy to enable rapid, large-area 3D imaging at subcellular resolution. The goal is to advance the application of spatial biology in cancer research by visualizing...
- The Project Grant award of $424,734 from the National Cancer Institute (CFDA 93.396 - Cancer Biology Research) supports the development of a novel spatial proteomics approach to profile immune cell types and their locations within a tumor microenvironment. The University of Illinois, the awardee, aims to integrate 3D microscopy techniques with bottom-up proteomic assays to offer deep proteome profiles of specific immune cells at various subregions of a mouse tumor (Aims 1 and 2). The goal is...
- 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...
- The federal Project Grant award of $2,720,667 from the National Institute of Environmental Health Sciences (CFDA 93.879 - Medical Library Assistance) will fund research at Yale University to develop robust algorithms and a tool to help clinicians and life scientists better understand the estimates of predictive models by visualizing patient neighborhoods based on supervised weighted distances. The goal is to increase trust in complex, multivariate predictive models used in clinical AI and...
- This federal Project Grant award in the amount of $449,625.00 was issued on September 15, 2025 by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859). The award supports the development of statistical methods to quantify heterogeneous cell-cell interaction patterns in spatial transcriptomics data across various human diseases, including pancreatic cancer, gastric cancer, and Alzheimer's disease. The key products...
- This federal Project Grant award of $1,396,731.00 from the National Institute of Environmental Health Sciences (NIEHS), under the Medical Library Assistance (CFDA 93.879) program, aims to develop a computational framework for the quality assessment and curation of biological models. The primary objectives are to standardize and automate the iterative process of assembling, documenting, verifying, and validating models of cell signaling. This will maximize the accuracy and reuse potential of...
- This $421,685 federal Project Grant award from the National Cancer Institute (CFDA 93.396 - Cancer Biology Research) supports research conducted by the University of California, San Francisco (UCSF) to investigate the "reactive" immune system in tumors and the tumor microenvironment. The study aims to discover discrete immune cell niches within the tumor that can enhance the effectiveness of cancer immunotherapies. Using innovative spatial transcriptomics, genetic tools, and cellular...
- This $1,977,264 federal Project Grant, awarded by the U.S. Department of Health and Human Services' National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), aims to develop a novel multimodal imaging platform that combines fluorescence super-resolution and tomographic polarized light imaging. The project will create open-source computational imaging tools to recover the dielectric tensor in multiple scattering samples using...
The federal Project Grant award of $1,602,000.00 from the National Institute of Environmental Health Sciences, under the Medical Library Assistance program (CFDA 93.879), will support the development of computational methods for analyzing multiplex immunofluorescence (MIF) imaging data to study the tumor microenvironment. The project aims to leverage a unique MIF dataset from over 2,000 cancer patients across 20 tumor types to develop innovative computational strategies, including spatial statistical methods and deep learning models, to uncover spatial biomarkers associated with tumor, genomic, and clinical factors. The computational tools developed through this project will be made freely available to support other researchers in the field of spatial biology. The award period runs from September 1, 2025 through August 31, 2029 and will be executed by the Dana-Farber Cancer Institute, Inc. in Boston, MA.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.6m | 9/1/25 |