Project Grant R03CA305794
- 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 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...
- 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...
- This federal Project Grant award of $437,250.00 from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), will fund a 5-year research project at the University of Pittsburgh focused on advanced computational approaches for integrating single-cell multi-omics data. The key objectives of this project are to: 1) Develop novel integration methods for combining single-cell RNA-seq, ATAC-seq, and cytometry data to...
- The University of Pittsburgh was awarded a $408,829 Project Grant from the National Cancer Institute (CFDA 93.396 Cancer Biology Research) to develop an "Integrative Framework for Surface Protein Imputation for Spatial Biology of Cancer". The goal of the project is to increase the utility of spatial transcriptomics datasets by imputing surface protein abundance through incorporating spatial and histological dependencies, and simultaneously learning the RNA-protein mapping relation from...
- The University of Pittsburgh received a $585,931 Project Grant award from the National Cancer Institute (CFDA 93.396 - Cancer Biology Research) on February 3, 2025. The grant will fund a comprehensive research framework to determine the molecular credentials and selection of cancer models, such as cell lines, patient-derived xenografts (PDX), and patient-derived organoids (PDO), to guide translational and clinical applications in breast cancer. The key objectives are: (1) identifying and...
- This $104,096 Project Grant award from the National Cancer Institute under the Cancer Research Manpower program (CFDA 93.398) supports an integrated in silico and in vivo genetic screening approach to identify subtype-specific genetic dependencies for hepatocellular carcinoma (HCC). The award was made to the University of Pittsburgh and aims to determine if genetic dependencies predicted via deep learning demonstrate subtype specificity using in vivo loss-of-function screening, and to quantify...
- This Project Grant, awarded by the National Cancer Institute (CFDA 93.398 Cancer Research Manpower program), provides $121,857 to the University of Pittsburgh to systematically investigate the impact of anti-cancer drugs on T cells within the tumor microenvironment. The award aims to identify novel drug combinations that can overcome resistance to immune checkpoint blockade therapies in cancer treatment. Specifically, the research will involve in silico screening of anti-cancer drugs for their...
- This federal Project Grant award of $426,479 from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), will support research toward developing statistical and computational tools to enable precision risk stratification, diagnosis, and treatment of medical conditions. The research will focus on integrating and synthesizing data from diverse sources such as biobanks, electronic health records, and clinical registries...
- 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 federal Project Grant award of $237,007 from the National Institutes of Health (NIH) Trans-NIH Research Support program (CFDA 93.310) funds the development of two complementary software tools to facilitate cancer dependency research. The first tool aims to enable biomedical researchers without advanced computational skills to predict and interpret cancer dependencies through an intuitive, web-based interface powered by large language models. The second tool will create a scalable, modular computational pipeline to support computational scientists in refining and expanding cancer dependency prediction models. The project, conducted by the University of Pittsburgh, seeks to address critical barriers in cancer dependency research and empower a broader range of researchers to leverage advanced computational approaches and large datasets like the Cancer Dependency Map. The award period runs from September 1, 2025 to August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $237.0k | 8/20/25 |