Project Grant R03AI185587
- This Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) federal grant program provides $304,971 to Nested Knowledge Inc. to develop an artificial intelligence (AI)-based tool for automated extraction of data from tables in published biomedical studies. The goal is to integrate this tool into Nested Knowledge's existing software platform, which supports various steps of the systematic literature review...
- This Project Grant award from the National Institutes of Health (NIH) Office of the Director under the Trans-NIH Research Support program (CFDA 93.310) provides $322,000.00 to Case Western Reserve University to perform the following: Analyze electroencephalographic (EEG) and plasma Alzheimer's disease (AD) biomarker data collected during a previous clinical trial studying the effects of the drug memantine on adolescents and young adults with Down syndrome. The analysis will examine the...
- This $249,943 Project Grant award from the National Institutes of Health's National Institute of Environmental Health Sciences (NIEHS) under the Environmental Health (CFDA 93.113) program supports the research and development of an adverse outcome pathway-focused mechanistic inference tool for 'omics data using semantic knowledge graphs. The key products and services to be delivered through this one-year award include: Improving statistical models to better quantify adverse outcome pathway...
- This Project Grant award from the National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310) provides $327,934 to The Jackson Laboratory to develop and deliver a week-long short course on methods for analyzing large-scale multiomics data. The course will focus on building technical, scientific, and collaborative skills for effectively accessing, integrating, and interpreting common fund datasets to accelerate biomedical research. Experts from NIH Common Fund...
- This Project Grant award of $462,000.00 from the National Institute of Environmental Health Sciences (NIEHS), under the Medical Library Assistance federal grant program (CFDA 93.879), aims to implement new methods and open-source tools to improve the findability, accessibility, interoperability, and reusability (FAIR) of metabolomics datasets in the Metabolomics Workbench repository. The award will fund the development of comprehensive data repair, cleaning, and harmonization tools to enable...
- This Project Grant award from the National Human Genome Research Institute (CFDA 93.172 - Human Genome Research) will support the development of a comprehensive suite of computational tools to unlock the full potential of spatial subcellular transcriptomics data. Key products and services to be delivered include: Creating a scalable and extensible database infrastructure that supports interactive analysis of large spatial omics datasets on standard computing systems. Developing novel...
- This four-year, $4,627,350 project grant from the National Cancer Institute, part of the Department of Health and Human Services, will support the development of PRIMAVO, an interactive web-based visualization tool. Funded under the 21st Century Cures Act Beau Biden Cancer Moonshot initiative, PRIMAVO aims to enable integrated exploration of immune monitoring assay results from cancer immunotherapy clinical trials. Specifically, the Icahn School of Medicine at Mount Sinai will create...
- This Project Grant award from the National Human Genome Research Institute (CFDA 93.172 - Human Genome Research) provides $716,587 to Boston Children's Hospital to advance equity in rare disease genomic research. The key objectives are to: Develop and implement a Diversity, Equity, and Inclusion toolkit within the Broad Institute's Rare Genomes Project to improve engagement and participation from historically underrepresented populations in rare disease genomic studies. This will involve...
- This Project Grant award from the National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program provides $498,240 to Northeastern University to develop advanced cyberinfrastructure that will support the FAIR (Findable, Accessible, Interoperable, Reusable) use of single-cell proteomics (SCP) data. The project will create open data standards, bioinformatics tools, and data-sharing platforms to enable researchers worldwide to easily reuse SCP data, which offers insights into biology...
- This Project Grant award from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) provides $273,987 to develop and enhance the "RtutorAI" platform. RtutorAI is an AI-powered virtual assistant that enables users to analyze large biomedical datasets through natural language interactions, without requiring coding expertise. The project aims to: (1) optimize prompt engineering and upgrade to GPT-4 for improved...
SIMPLIFYING THE TRANSFORMATION OF LABORATORY TEST DATA FOR INTEGRATION INTO THE IMMPORT DATABASE - PROJECT SUMMARY/ABSTRACT THE SHARING OF DATA IN BIOMEDICAL RESEARCH, INCLUDING DATA GENERATED FROM CLINICAL TRIALS, IS PARAMOUNT FOR ENSURING REPRODUCIBILITY, IMPROVING STUDY DESIGN, INCREASING ANALYTIC POWER VIA CONCATENATION OF DISPARATE DATA SETS, AND IDENTIFYING AND TESTING NEW HYPOTHESES. WITH MORE DATA BEING MADE PUBLICLY AVAILABLE, THERE IS A CRITICAL NEED TO FACILITATE THEIR RE-USE. THE REUSABILITY OF PUBLICLY AVAILABLE CLINICAL TRIAL DATASETS IS MORE COMPLEX WHEN DATA ARE SHARED IN AN UNSTRUCTURED FORMAT, AS COMPARED TO IN A STRUCTURED DATABASE, DUE TO THE NEED FOR ARDUOUS MANUAL ANNOTATION OF INDIVIDUAL FILES TO PERMIT SECONDARY ANALYSES. ONE PLATFORM TO SHARE INDIVIDUAL PARTICIPANT LEVEL CLINICAL TRIAL DATA IS THE IMMUNOLOGY DATABASE AND ANALYSIS PORTAL (IMMPORT), A NIH/NIAID-FUNDED PUBLIC WAREHOUSE PROVIDING OPEN ACCESS TO CLINICAL AND MECHANISTIC DATA FROM IMMUNOLOGICAL AND CLINICAL STUDIES. THE OVERALL AIM OF THIS PROPOSAL IS TO ENHANCE THE REUSABILITY OF CLINICAL TRIAL DATA SHARED THROUGH IMMPORT AND TO ENCOURAGE THEIR RE-USE. SPECIFICALLY, THE GOAL IS TO DEVELOP AN AUTOMATED TOOL TO SIMPLIFY THE TRANSFORMATION OF LABORATORY TEST DATA FROM CLINICAL TRIALS INTO THE FORMAT OF THE IMMPORT SUBMISSION TEMPLATE. UPLOAD OF THE DATA IN THIS TEMPLATE FORMAT IS NECESSARY FOR INTEGRATION INTO THE STRUCTURED DATABASE. OTHERWISE, THE DATA WILL BE MADE AVAILABLE TO THE PUBLIC AS CUSTOM FORMATTED STUDY FILES, COMPLICATING THEIR RE-USE. THE COMPLEXITY IN CURRENT UPLOAD PROTOCOLS IS WHAT PREVENTS MANY DATA SUBMITTERS FROM FULLY ANNOTATING THEIR CLINICAL DATA FOR INTEGRATION INTO IMMPORT'S STRUCTURED DATABASE. THE TOOL WILL BE AN EXTENSION OF OUR PROTOTYPE IMMPORT CURATION APPROACH THAT FACILITATES THE FORMATTING OF ASSESSMENT DATA FOR SUBMISSION TO IMMPORT. THE TOOL WILL RELY ON A MANUALLY CURATED DATA DICTIONARY TO GIVE CONTEXT TO THE DATA IN THE STUDY FILES. WITH THAT DATA DICTIONARY AND MINIMAL ADDITIONAL MANUAL INPUT, THE APPROACH AUTOMATES THE COMPLEX FILE FORMATTING STEPS REQUIRED TO TRANSFORM THE DATA INTO THE LABORATORY TEST SUBMISSION TEMPLATE. THE TOOL WILL BE DEVELOPED TO GUIDE USERS THROUGH THE ANNOTATION PROCESS WITH A GRAPHICAL USER INTERFACE, MAKING FULL ANNOTATION OF LAB TEST CLINICAL TRIAL DATA MORE ACCESSIBLE TO RESEARCHERS WITHOUT INFORMATICS EXPERTISE. ADDITIONALLY, TO INCREASE CONFIDENCE AND PROFICIENCY IN RE-USING CLINICAL STUDY DATA PUBLICLY AVAILABLE THROUGH IMMPORT, A COMPREHENSIVE TUTORIAL BASED ON A SECONDARY ANALYSIS OF TWO FOOD ALLERGY RELATED CLINICAL TRIALS SHARED THROUGH IMMPORT WILL BE DEVELOPED. THE TUTORIAL, CREATED IN R, WILL COVER VARIOUS WAYS OF DATA RETRIEVAL, PROCESSING, AND AN IN-DEPTH ANALYSIS WITH VISUALIZATIONS. OVERALL, THIS PROPOSAL AIMS TO ENHANCE THE REUSABILITY OF CLINICAL TRIAL DATA AVAILABLE THROUGH IMMPORT, THEREBY INCREASING THE RETURN ON INVESTMENT FOR BIOMEDICAL RESEARCH AND BENEFITING SCIENTIFIC KNOWLEDGE AND CLINICAL CARE.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $80.3k | 4/21/25 | ||
| Not listed | $8.0k | 9/11/24 | ||
| Not listed | $8.0k | 9/11/24 | ||
| Not listed | $72.2k | 6/6/24 | ||
| Not listed | $72.2k | 6/6/24 |