{"ein":"264489946","name":"SAGE BIONETWORKS","city":"SEATTLE","state":"WA","ntee_code":"U50","subsection_code":"03","form_type":"990","totals":{"paid_usd":8473374,"paid_count":71,"recipient_count":38,"approved_future_usd":0,"approved_future_count":0,"first_tax_year":2018,"last_tax_year":2024,"grant_rows":71},"years":[{"tax_year":2018,"amount_type":"paid","usd":1660903,"count":17},{"tax_year":2020,"amount_type":"paid","usd":1462461,"count":8},{"tax_year":2022,"amount_type":"paid","usd":1193878,"count":16},{"tax_year":2023,"amount_type":"paid","usd":2076621,"count":13},{"tax_year":2024,"amount_type":"paid","usd":2079511,"count":17}],"top_recipients":[{"name":"Institute for Systems Biology","ein":"912003593","tier":"A","confidence":1,"city":"Seattle","state":"WA","paid_usd":1913850,"count":6,"last_tax_year":2024},{"name":"Seven Bridges Genomics Inc","ein":"453415885","tier":"A","confidence":0.95,"city":"Boston","state":"MA","paid_usd":667335,"count":3,"last_tax_year":2024},{"name":"Icahn School of Medicine at Mount Sinai","ein":"136171197","tier":"A","confidence":1,"city":"New York","state":"NY","paid_usd":643421,"count":2,"last_tax_year":2020},{"name":"The Pennsylvania State University","ein":"246000376","tier":"A","confidence":0.95,"city":"University Park","state":"PA","paid_usd":488971,"count":3,"last_tax_year":2024},{"name":"University of North Carolina at Chapel Hill","ein":"566001393","tier":"A","confidence":1,"city":"Chapel Hill","state":"NC","paid_usd":485926,"count":3,"last_tax_year":2024},{"name":"Memorial Sloan Kettering Cancer Center","ein":"131924236","tier":"A","confidence":1,"city":"New York","state":"NY","paid_usd":430434,"count":3,"last_tax_year":2024},{"name":"Duke University","ein":"560532129","tier":"A","confidence":1,"city":"Durham","state":"NC","paid_usd":422327,"count":4,"last_tax_year":2024},{"name":"University of Washington","ein":"916001537","tier":"A","confidence":0.95,"city":"Seattle","state":"WA","paid_usd":403069,"count":3,"last_tax_year":2024},{"name":"University of California Los Angeles","ein":"943067788","tier":"A","confidence":1,"city":"Los Angeles","state":"CA","paid_usd":401284,"count":3,"last_tax_year":2024},{"name":"Harvard Office of Sponsored Programs","ein":null,"tier":"U","confidence":null,"city":"Boston","state":"MA","paid_usd":320498,"count":2,"last_tax_year":2024},{"name":"Translational Genomics Research Institute","ein":"753065445","tier":"A","confidence":1,"city":"Phoenix","state":"AZ","paid_usd":265674,"count":3,"last_tax_year":2024},{"name":"Stanford University","ein":"941156365","tier":"A","confidence":1,"city":"Stanford","state":"CA","paid_usd":225960,"count":2,"last_tax_year":2024},{"name":"Yale University","ein":"060646973","tier":"A","confidence":1,"city":"New Haven","state":"CT","paid_usd":210007,"count":3,"last_tax_year":2024},{"name":"University of California San Diego","ein":"956006144","tier":"A","confidence":1,"city":"La Jolla","state":"CA","paid_usd":206908,"count":1,"last_tax_year":2018},{"name":"Boston University","ein":"042103547","tier":"A","confidence":1,"city":"New York","state":"NY","paid_usd":186548,"count":1,"last_tax_year":2020},{"name":"University of Arizona","ein":"742652689","tier":"A","confidence":0.95,"city":"Tucson","state":"AZ","paid_usd":181525,"count":2,"last_tax_year":2020},{"name":"EMORY UNIVERSITY","ein":"580566256","tier":"A","confidence":1,"city":"ATLANTA","state":"GA","paid_usd":125000,"count":1,"last_tax_year":2024},{"name":"Oregon Health & Science University","ein":"931176109","tier":"A","confidence":0.95,"city":"Portland","state":"OR","paid_usd":96355,"count":2,"last_tax_year":2020},{"name":"TUFTS MEDICAL CENTER","ein":"043400617","tier":"A","confidence":1,"city":"BOSTON","state":"MA","paid_usd":80688,"count":1,"last_tax_year":2024},{"name":"University of Wisconsin Madison","ein":"396006492","tier":"A","confidence":0.95,"city":"Madison","state":"WI","paid_usd":76964,"count":2,"last_tax_year":2023},{"name":"University of Colorado Denver","ein":"840644739","tier":"A","confidence":0.95,"city":"Denver","state":"CO","paid_usd":61096,"count":3,"last_tax_year":2024},{"name":"Fred Hutchinson Cancer Research Center","ein":"237156071","tier":"A","confidence":0.95,"city":"Seattle","state":"WA","paid_usd":56144,"count":1,"last_tax_year":2018},{"name":"University of Pittsburgh","ein":"250965591","tier":"A","confidence":1,"city":"Pittsburgh","state":"PA","paid_usd":56016,"count":1,"last_tax_year":2018},{"name":"The University of Texas MD Anderson Cancer Center","ein":"746001118","tier":"A","confidence":0.95,"city":"Houston","state":"TX","paid_usd":55976,"count":1,"last_tax_year":2018},{"name":"Tufts University","ein":"042103634","tier":"A","confidence":1,"city":"Boston","state":"MA","paid_usd":53548,"count":1,"last_tax_year":2020},{"name":"Partners Healthcare System Inc","ein":"270273715","tier":"A","confidence":1,"city":"Somerville","state":"MA","paid_usd":47732,"count":1,"last_tax_year":2018},{"name":"University of Massachusetts Worcester","ein":"043167352","tier":"A","confidence":0.95,"city":"Worcester","state":"MA","paid_usd":46255,"count":1,"last_tax_year":2018},{"name":"Harvard University Medical School","ein":"042103580","tier":"A","confidence":1,"city":"Boston","state":"MA","paid_usd":43998,"count":1,"last_tax_year":2022},{"name":"University of California San Francisco","ein":"946036493","tier":"A","confidence":1,"city":"San Francisco","state":"CA","paid_usd":36777,"count":2,"last_tax_year":2023},{"name":"Rutgers the State University of New Jersey","ein":"226001086","tier":"A","confidence":1,"city":"Piscataway","state":"NJ","paid_usd":36570,"count":1,"last_tax_year":2018},{"name":"IBM","ein":"130871985","tier":"A","confidence":0.95,"city":"Yorktown Heights","state":"NY","paid_usd":35924,"count":1,"last_tax_year":2020},{"name":"OCHIN Inc","ein":"200195556","tier":"A","confidence":1,"city":"Portland","state":"OR","paid_usd":34922,"count":1,"last_tax_year":2022},{"name":"San Ysidro Health","ein":"952801772","tier":"A","confidence":1,"city":"San Diego","state":"CA","paid_usd":19929,"count":1,"last_tax_year":2018},{"name":"Hudson River Healthcare Foundation","ein":"200151252","tier":"A","confidence":1,"city":"Peekskill","state":"NY","paid_usd":18845,"count":1,"last_tax_year":2018},{"name":"Mayo Clinic","ein":"416011702","tier":"A","confidence":1,"city":"Rochester","state":"MN","paid_usd":16797,"count":1,"last_tax_year":2022},{"name":"University of Rochester","ein":"160743209","tier":"A","confidence":1,"city":"Rochester","state":"NY","paid_usd":7667,"count":1,"last_tax_year":2018},{"name":"THE BROAD INSTITUTE","ein":"263428781","tier":"A","confidence":1,"city":"CAMBRIDGE","state":"MA","paid_usd":6757,"count":1,"last_tax_year":2024},{"name":"New York University","ein":"135562308","tier":"A","confidence":1,"city":"New York","state":"NY","paid_usd":5677,"count":1,"last_tax_year":2018}],"recent_grants":[{"grant_id":"4072ed69c00e8080d0fd0d19d71aac70","tax_year":2024,"amount_type":"paid","amount_usd":412225,"noncash_amount_usd":0,"recipient_name":"SEVEN BRIDGES GENOMICS INC (VELSERA)","recipient_ein":"453415885","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"EXCEPTIONAL LONGEVITY DATA MANAGEMENT AND COORDINATING CENTER, DEVELOP INTEGRATION BETWEEN SAGE'S DATA SHARING PORTAL, SYNAPSE, AND CABATICA.","city":"CHARLESTOWN","state":"MA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"f085f9d60d13548223693dad8943737a","tax_year":2024,"amount_type":"paid","amount_usd":251814,"noncash_amount_usd":0,"recipient_name":"PENNSYLVANIA STATE UNIVERSITY","recipient_ein":"246000376","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"PHASE 1 AND 2: RECOVER MOBILE HEALTH PLATFORM/MOBILE HEALTH REPOSITORIES WORKING GROUP: DEVELOP PROCESS FOR MHP TO COLLECT PASC RELATED MOBILE HEALTH DATA FROM PARTICIPANTS AND SHARE THIS DATA WITH MHDR TO CLEAN CURATE, CONDUCT QA/QC, STORE AND PROVIDE ACCESS TO RESEARCHERS. CUSTOMIZATION OF THE MOBILE HEALTH PLATFORM, IMPLEMENTATION OF MOBILE DATA COLLECTION AMONG THE VARIOUS STUDIES, AS WELL AS, THE STORING, CURATION, LINKAGE, AND ANALYSES OF THE MOBILE HEALTH DATA.","city":"UNIVERSITY PARK","state":"PA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"891000aeec38f0d2d172be3d51f75be0","tax_year":2024,"amount_type":"paid","amount_usd":204222,"noncash_amount_usd":0,"recipient_name":"INSTITUTE FOR SYSTEMS BIOLOGY","recipient_ein":"912003593","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"CRI IMMUNE ATLAS 4 AND 5: PLATFORM FOR IMMUNE-ONCOLOGY RESEARCH AND DATA SHARING. EXCEPTIONAL LONGEVITY DATA MANAGEMENT AND COORDINATING CENTER, DESIGN AND PERFORM CROSS-PROJECT ANALYSIS FOCUSED ON HARNESSING SYSTEMS BIOLOGY-BASED TECHNIQUES, SUCH AS MULTI-OMIC DATA INTEGRATION, NETWORK ANALYSIS, MACHINE LEARNING, AND STATISTICAL MODELING, TO INVESTIGATE BOTH AGING AND DISEASE, AS WELL AS THE INTERPLAY BETWEEN THEM.","city":"SEATTLE","state":"WA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"44dda22faef3bd024547c6d05f602d78","tax_year":2024,"amount_type":"paid","amount_usd":169611,"noncash_amount_usd":0,"recipient_name":"UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL","recipient_ein":"566001393","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"CRI IMMUNE ATLAS 4 AND 5: PLATFORM FOR IMMUNE-ONCOLOGY RESEARCH AND DATA SHARING. DEFINING REGRESSION MODELS AND VALIDATION METHODS FOR USE IN IMPLEMENTING STATISTICAL LEARNING MODELS FOR BIOMARKER DEVELOPMENT IN IATLAS. ADD COMPREHENSIVE TUMOR ANTIGEN PREDICTION FROM MULTIPLE GENOMIC SOURCES TO IATLAS DATASETS. HARMONIZE AND CURATE DATA FROM ADDITIONAL IO CLINICAL TRIALS WITH GENOMIC DATA FOR ANALYSIS USING THE IO RESPONSE MODULE.","city":"CHAPEL HILL","state":"NC","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"f9fa663c443756d167fc77e6a1ed92ac","tax_year":2024,"amount_type":"paid","amount_usd":156432,"noncash_amount_usd":0,"recipient_name":"HARVARD OFFICE OF SPONSORED PROGRAMS","recipient_ein":null,"match_tier":"U","match_confidence":null,"match_method":"recipient_type_government","purpose":"MULTI-CONSORTIA COORDINATING CENTER (MC2 CENTER) FOR CANCER BIOLOGY: BUILDING INTERDISCIPLINARY SCIENTIFIC COMMUNITIES, COORDINATING IMPACTFUL RESOURCE SHARING, AND ADVANCING CANCER RESEARCH.","city":"BOSTON","state":"MA","recipient_type":"government","object_id":"202543189349312819"},{"grant_id":"df92e9dbba56477cc4f9443accf92bdf","tax_year":2024,"amount_type":"paid","amount_usd":136319,"noncash_amount_usd":0,"recipient_name":"MEMORIAL SLOAN-KETTERING CANCER CENTER","recipient_ein":"131924236","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"PERFORM ALL WORK RELATED TO THE PROPOSED BRCA PRE-CANCER ATLAS INSTANCE OF THE CBIOPORTAL FOR CANCER GENOMICS. BUILD, MAINTAIN AND RUN AUTOMATED PIPELINES THAT TRANSFER DATA FROM SYNAPSE INTO BRCA PRE-CANCER ATLAS DATA PORTAL. MAINTAIN ALL USER LOGINS AND DEVELOP NEW DATA PORTAL AND CBIOPORTAL FEATURES AS THEY BECOME RELEVANT FOR THE PROJECT. PROVIDE USER SUPPORT, DOCUMENTATION, AND OUTREACH FOR THE ENTIRE BRCA PRE CANCER ATLAS.","city":"NEW YORK","state":"NY","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"38bcbcaca71e774c2b67983b5eac2038","tax_year":2024,"amount_type":"paid","amount_usd":125000,"noncash_amount_usd":0,"recipient_name":"EMORY UNIVERSITY","recipient_ein":"580566256","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"MULTI-CONSORTIA COORDINATING CENTER (MC2 CETNER) FOR CANCER BIOLOGY: DEVELOP AND APPL QUALITY CONTROL WORKFLOWS TO ENSURE AI/ML-READINESS OF DIGITAL PATHOLOGY ACROSS MULTI-OMIC DATASETS, WITH CONTRIBUTIONS TO TOOL DEVELOPMENT, METRIC DEFINITION, EXPERIMENTAL DESIGN, AND COLLABORATIVE STUDY OVERSIGHT.","city":"ATLANTA","state":"GA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"9f918a4a8a8592154cf953de38c4288b","tax_year":2024,"amount_type":"paid","amount_usd":114897,"noncash_amount_usd":0,"recipient_name":"INSTITUTE FOR SYSTEMS BIOLOGY","recipient_ein":"912003593","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"EXCEPTIONAL LONGEVITY: PROVIDE SCIENTIFIC OVERSIGHT OF A WORKING GROUP CONDUCTING CROSS-PROJECT ANALYSES USING SYSTEMS BIOLOGY APPROACHES TO STUDY AGING, ALZHEIMERS DISEASE, AND THEIR INTERACTIONS.","city":"SEATTLE","state":"WA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"b3a2e5b9725ebe88cc21e70bb4f4fbb9","tax_year":2024,"amount_type":"paid","amount_usd":103680,"noncash_amount_usd":0,"recipient_name":"DUKE UNIVERSITY","recipient_ein":"560532129","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"PHASE 1 AND 2: RECOVER MOBILE HEALTH PLATFORM/MOBILE HEALTH REPOSITORIES WORKING GROUP: DEVELOP PROCESS FOR MHP TO COLLECT PASC RELATED MOBILE HEALTH DATA FROM PARTICIPANTS AND SHARE THIS DATA WITH MHDR TO CLEAN CURATE, CONDUCT QA/QC, STORE AND PROVIDE ACCESS TO RESEARCHERS. CUSTOMIZATION OF THE MOBILE HEALTH PLATFORM, IMPLEMENTATION OF MOBILE DATA COLLECTION AMONG THE VARIOUS STUDIES, AS WELL AS, THE STORING, CURATION, LINKAGE, AND ANALYSES OF THE MOBILE HEALTH DATA.","city":"DURHAM","state":"NC","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"06e4c0d27a8e7d803aba65a314e66a59","tax_year":2024,"amount_type":"paid","amount_usd":80688,"noncash_amount_usd":0,"recipient_name":"TUFTS MEDICAL CENTER","recipient_ein":"043400617","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"EXCEPTIONAL LONGEVITY: SUPPORT DATA HARMONIZATION AND ANALYSIS FOR LONGEVITY RESEARCH, INCLUDING COLLABORATION ON A SYNTHETIC DATA CHALLENGE, WITH RESPONSIBILITIES FOR PROJECT OVERSIGHT, DATA PREPARATION, EVALUATION, AND REPORTING.","city":"BOSTON","state":"MA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"909ed422578630a829ca23d1f7e22647","tax_year":2024,"amount_type":"paid","amount_usd":78426,"noncash_amount_usd":0,"recipient_name":"UNIVERSITY OF CALIFORNIA LOS ANGELES","recipient_ein":"943067788","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"ITCR, LEAD EVALUATION AND TESTING OF NEW SYNAPSE FEATURES AND THEIR INCORPORATION INTO MULTIPLE CHALLENGES, INCLUDING A LEAD STUDY OF PROSTATE CANCER ACTIVE SURVEILLANCE. PROVIDE STRATEGIC ADVICE, FEATURE-TESTING AND DEVELOPMENT, USAGE-SCENARIOS AND INTENSIVE TESTING.","city":"LOS ANGELES","state":"CA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"4e4faf9076072f70f602f8c42ce50ea3","tax_year":2024,"amount_type":"paid","amount_usd":70420,"noncash_amount_usd":0,"recipient_name":"YALE UNIVERSITY","recipient_ein":"060646973","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"MULTI-CONSORTIA COORDINATING CENTER (MC2 CENTER) FOR CANCER BIOLOGY: BUILDING INTERDISCIPLINARY SCIENTIFIC COMMUNITIES, COORDINATING IMPACTFUL RESOURCE SHARING, AND ADVANCING CANCER RESEARCH.","city":"NEW HAVEN","state":"CT","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"dce8ffe3dc50557563fc1bbd3f1ac6dc","tax_year":2024,"amount_type":"paid","amount_usd":68791,"noncash_amount_usd":0,"recipient_name":"TRANSLATIONAL GENOMICS RESEARCH INSTITUTE","recipient_ein":"753065445","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"EXCEPTIONAL LONGEVITY DATA MANAGEMENT AND COORDINATING CENTER, DEVELOP ANALYTICAL METHODS FOR ACCOMMODATING AND EXPLORING HETEROGENEITY IN LARGE AGGREGATED DATABASES. THEY WILL ALSO APPLY THESE METHODS WITH THE OTHER INVESTIGATORS AS WELL AS RESEARCHERS ASSOCIATED WITH THE CONSORTIA THAT GENERATED THE AGGREGATED DATA.","city":"PHOENIX","state":"AZ","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"4cece63ecf315bd203390c53921174aa","tax_year":2024,"amount_type":"paid","amount_usd":50000,"noncash_amount_usd":0,"recipient_name":"STANFORD UNIVERSITY","recipient_ein":"941156365","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"MULTI-CONSORTIA COORDINATING CENTER (MC2 CENTER) FOR CANCER BIOLOGY: WORK WITH SAGE TO DEVELOP A PILOT WEB APPLICATION FOR EXPLORING SPATIAL TRANSCRIPTOMIC DATA IN CANCER RESEARCH.","city":"STANFORD","state":"CA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"3971bdd21c8ff4244cba62c49ce17367","tax_year":2024,"amount_type":"paid","amount_usd":36580,"noncash_amount_usd":0,"recipient_name":"UNIVERSITY OF WASHINGTON","recipient_ein":"916001537","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"AMP AD KNOWLEDGE PORTAL: BUILD INTEROPERABILITY BETWEEN TWO MAJOR ALZHEIMER'S RESEARCH PLATFORMS BY CREATING BIDIRECTIONAL METADATA FLOWS, ENABLING RESEARCHERS TO DISCOVER AND ACCESS MULTI-OMIC, MICROBIOME, IMAGING, AND CLINICAL DATASETS ACROSS SYSTEMS THROUGH INTEGRATED TOOLS, AUTOMATED REQUESTS, AND ENHANCED COHORT SELECTION CAPABILITIES.","city":"SEATTLE","state":"WA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"cb331642c3579128a85250d55a9b175d","tax_year":2024,"amount_type":"paid","amount_usd":13649,"noncash_amount_usd":0,"recipient_name":"UNIVERSITY OF COLORADO DENVER","recipient_ein":"840644739","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"PROVIDE SUPPORT FOR GOVERNANCE ISSUES AND REGULATORY COORDINATION WITH NIH, PROVIDING TECHNICAL MANAGEMENT SUPPORT FOR PROJECT TEAMS, TRAINING AND COORDINATION FOR SITES TO PARTICIPATE IN ANALYTICAL ACTIVITIES, AND SUPPORT FOR PUBLIC RELATIONS AND DISSEMINATION OF RESEARCH OUTCOMES FOR THE COVID 19 COHORT COLLABORATIVE FOR DISEASE MODELING PROJECT.","city":"DENVER","state":"CO","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"c52063c399382ea45b5b7ce947362fd0","tax_year":2024,"amount_type":"paid","amount_usd":6757,"noncash_amount_usd":0,"recipient_name":"THE BROAD INSTITUTE","recipient_ein":"263428781","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"AMP AD KNOWLEDGE PORTAL: EXTEND THE ALZHEIMER'S DISEASE DATA COORDINATION CENTER BY INTEGRATING SAGE-HOSTED DATA WITH THE TERRA PLATFORM, ENABLING SECURE ACCOUNT LINKING, DATA ACCESS, AND SYNTHETIC COHORT HANDOFFS, WITH ONGOING TECHNICAL UPDATES AND CROSS-TEAM COORDINATION OVER THE AWARD PERIOD.","city":"CAMBRIDGE","state":"MA","recipient_type":"organization","object_id":"202543189349312819"},{"grant_id":"3338cdb316f4c383b89f19f20b4681f4","tax_year":2023,"amount_type":"paid","amount_usd":379595,"noncash_amount_usd":0,"recipient_name":"Institute for Systems Biology","recipient_ein":"912003593","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"CRI Immune Atlas4: Platform for immune-oncology research and data sharing. Exceptional Longevity Data Management and Coordinating Center, design and perform cross-project analysis focused on harnessing systems biology-based techniques, such as multi-omic data integration, network analysis, machine learning, and statistical modeling, to investigate both aging and disease, as well as the interplay between them.","city":"Seattle","state":"WA","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"86422d1e763068c25ab7e58a483a2af4","tax_year":2023,"amount_type":"paid","amount_usd":208563,"noncash_amount_usd":0,"recipient_name":"University of California Los Angeles","recipient_ein":"943067788","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"ITCR, lead evaluation and testing of new Synapse features and their incorporation into multiple challenges, including a lead study of prostate cancer Active Surveillance. Provide strategic advice, feature-testing and development, usage-scenarios and intensive testing.","city":"Los Angeles","state":"CA","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"b3d1b33a4b436974e98a10fa1ae09d5b","tax_year":2023,"amount_type":"paid","amount_usd":204479,"noncash_amount_usd":0,"recipient_name":"Memorial Sloan-Kettering Cancer Center","recipient_ein":"131924236","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Perform all work related to the proposed BRCA Pre-Cancer Atlas instance of the cBioPortal for Cancer Genomics. Build, maintain and run automated pipelines that transfer data from Synapse into BRCA Pre-Cancer Atlas Data Portal. Maintain all user logins and develop new Data Portal and cBioPortal features as they become relevant for the project. Provide user support, documentation, and outreach for the entire BRCA Pre Cancer Atlas.","city":"New York","state":"NY","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"c1e7ccc63dc06d172b62bdec357b0ab7","tax_year":2023,"amount_type":"paid","amount_usd":203859,"noncash_amount_usd":0,"recipient_name":"Duke University","recipient_ein":"560532129","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Phase 1 and 2: RECOVER Mobile Health Platform/Mobile Health Repositories Working Group: Develop process for MHP to collect PASC related mobile health data from participants and share this data with MHDR to clean curate, conduct QA/QC, store and provide access to researchers. Customization of the mobile health platform, implementation of mobile data collection among the various studies, as well as, the storing, curation, linkage, and analyses of the mobile health data.","city":"Durham","state":"NC","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"39d586b44ee97a137a8a66f97c2ac80f","tax_year":2023,"amount_type":"paid","amount_usd":199853,"noncash_amount_usd":0,"recipient_name":"Seven Bridges Genomics Inc","recipient_ein":"453415885","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Exceptional Longevity Data Management and Coordinating Center, develop integration between Sage's data sharing portal, Synapse, and CABATICA.","city":"Boston","state":"MA","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"00e5925a34fb845224691ee518364e62","tax_year":2023,"amount_type":"paid","amount_usd":194842,"noncash_amount_usd":0,"recipient_name":"Pennsylvania State University","recipient_ein":"246000376","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Phase 1 and 2: RECOVER Mobile Health Platform/Mobile Health Repositories Working Group: Develop process for MHP to collect PASC related mobile health data from participants and share this data with MHDR to clean curate, conduct QA/QC, store and provide access to researchers. Customization of the mobile health platform, implementation of mobile data collection among the various studies, as well as, the storing, curation, linkage, and analyses of the mobile health data.","city":"University Park","state":"PA","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"5dc09030de9da649efced685a5b1ee9e","tax_year":2023,"amount_type":"paid","amount_usd":164066,"noncash_amount_usd":0,"recipient_name":"Harvard Office of Sponsored Programs","recipient_ein":null,"match_tier":"U","match_confidence":null,"match_method":"recipient_type_government","purpose":"Multi-Consortia Coordinating Center (MC2 Center) for Cancer Biology: Building Interdisciplinary Scientific Communities, Coordinating Impactful Resource Sharing, and Advancing Cancer Research.","city":"Boston","state":"MA","recipient_type":"government","object_id":"202433589349300503"},{"grant_id":"aa33cc3db90846d40efa115825f700b4","tax_year":2023,"amount_type":"paid","amount_usd":163934,"noncash_amount_usd":0,"recipient_name":"University of North Carolina at Chapel Hill","recipient_ein":"566001393","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"CRI Immune Atlas4: Platform for immune-oncology research and data sharing. Defining regression models and validation methods for use in implementing statistical learning models for biomarker development in iAtlas. Add comprehensive tumor antigen prediction from multiple genomic sources to iAtlas datasets. Harmonize and curate data from additional IO clinical trials with genomic data for analysis using the IO response module.","city":"Chapel Hill","state":"NC","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"c1f103668b3c266e8cc170020959649a","tax_year":2023,"amount_type":"paid","amount_usd":154554,"noncash_amount_usd":0,"recipient_name":"Translational Genomics Research Institute","recipient_ein":"753065445","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Exceptional Longevity Data Management and Coordinating Center, develop analytical methods for accommodating and exploring heterogeneity in large aggregated databases. They will also apply these methods with the other investigators as well as researchers associated with the consortia that generated the aggregated data.","city":"Phoenix","state":"AZ","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"bcf0ae010da7080a3fb5cd7ebbd92ec9","tax_year":2023,"amount_type":"paid","amount_usd":102541,"noncash_amount_usd":0,"recipient_name":"Yale University","recipient_ein":"060646973","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Multi-Consortia Coordinating Center (MC2 Center) for Cancer Biology: Building Interdisciplinary Scientific Communities, Coordinating Impactful Resource Sharing, and Advancing Cancer Research.","city":"New Haven","state":"CT","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"853d29f8a788fdbae723df66a3fabd29","tax_year":2023,"amount_type":"paid","amount_usd":71103,"noncash_amount_usd":0,"recipient_name":"University of Winsconsin-Madison","recipient_ein":"396006492","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Multi-Consortia Coordinating Center (MC2 Center) for Cancer Biology: Building Interdisciplinary Scientific Communities, Coordinating Impactful Resource Sharing, and Advancing Cancer Research.","city":"Madison","state":"WI","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"81b8ae9311c69a6729cd4ca44876a138","tax_year":2023,"amount_type":"paid","amount_usd":23919,"noncash_amount_usd":0,"recipient_name":"University of Colorado Denver","recipient_ein":"840644739","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Provide support for governance issues and regulatory coordination with NIH, providing technical management support for project teams, training and coordination for sites to participate in analytical activities, and support for public relations and dissemination of research outcomes for the COVID 19 Cohort Collaborative for Disease Modeling project.","city":"Denver","state":"CO","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"f95449ee87eabc6971870cf08eceb1a9","tax_year":2023,"amount_type":"paid","amount_usd":5313,"noncash_amount_usd":0,"recipient_name":"University of California San Francisco","recipient_ein":"946036493","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Phase 1 and 2: RECOVER Mobile Health Platform/Mobile Health Repositories Working Group: Develop process for MHP to collect PASC related mobile health data from participants and share this data with MHDR to clean curate, conduct QA/QC, store and provide access to researchers. Customization of the mobile health platform, implementation of mobile data collection among the various studies, as well as, the storing, curation, linkage, and analyses of the mobile health data.","city":"San Francisco","state":"CA","recipient_type":"organization","object_id":"202433589349300503"},{"grant_id":"e98aeee4a19be53e8e6a6bf9033a6c1d","tax_year":2022,"amount_type":"paid","amount_usd":289400,"noncash_amount_usd":0,"recipient_name":"Institute for Systems Biology","recipient_ein":"912003593","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"CRI Immune Atlas: Platform for immune-oncology research and data sharing phase 2 and 3. Exceptional Longevity Data Management and Coordinating Center, design and perform cross-project analysis focused on harnessing systems biology-based techniques, such as multi-omic data integration, network analysis, machine learning, and statistical modeling, to investigate both aging and disease, as well as the interplay between them.","city":"Seattle","state":"WA","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"dbb8f05befa71854d8c6ef257725a819","tax_year":2022,"amount_type":"paid","amount_usd":152381,"noncash_amount_usd":0,"recipient_name":"University of North Carolina at Chapel Hill","recipient_ein":"566001393","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"CRI Immune Atlas: Platform for immune-oncology research and data sharing phase 2 and 3. Defining regression models and validation methods for use in implementing statistical learning models for biomarker development in iAtlas. Add comprehensive tumor antigen prediction from multiple genomic sources to iAtlas datasets. Harmonize and curate data from additional IO clinical trials with genomic data for analysis using the IO response module.","city":"Chapel Hill","state":"NC","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"6b16c4a984141d4d2d12a811c786d8aa","tax_year":2022,"amount_type":"paid","amount_usd":152021,"noncash_amount_usd":0,"recipient_name":"University of Washington","recipient_ein":"916001537","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Partner to prototype and test best ways to build a Global Mental Health Databank that holds rich longitudinal data at scale from different global locations on approaches, treatments and interventions potentially relevant to anxiety or depression in 14-24 year olds.","city":"Seattle","state":"WA","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"a625ceea6a866aee909d4100f7367186","tax_year":2022,"amount_type":"paid","amount_usd":114295,"noncash_amount_usd":0,"recipient_name":"University of California Los Angeles","recipient_ein":"943067788","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Lead evaluation and testing of new Synapse features and their incorporation into multiple challenges, including a lead study of prostate cancer Active Surveillance. Provide strategic advice, feature-testing and development, usage-scenarios and intensive testing.","city":"Los Angeles","state":"CA","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"1b1f38279f2220d2b053e38cc281c679","tax_year":2022,"amount_type":"paid","amount_usd":89636,"noncash_amount_usd":0,"recipient_name":"Memorial Sloan Kettering Cancer Center","recipient_ein":"131924236","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Perform all work related to the proposed BRCA Pre-Cancer Atlas instance of the cBioPortal for Cancer Genomics. Build, maintain and run automated pipelines that transfer data from Synapse into BRCA Pre-Cancer Atlas Data Portal. Maintain all user logins and develop new Data Portal and cBioPortal features as they become relevant for the project. Provide user support, documentation, and outreach for the entire BRCA Pre Cancer Atlas.","city":"New York","state":"NY","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"07b2353749c09e5824d1c83434e301c1","tax_year":2022,"amount_type":"paid","amount_usd":62628,"noncash_amount_usd":0,"recipient_name":"Duke University","recipient_ein":"560532129","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Phase 1 and 2: RECOVER Mobile Health Platform/Mobile Health Repositories Working Group: Develop process for MHP to collect PASC related mobile health data from participants and share this data with MHDR to clean curate, conduct QA/QC, store and provide access to researchers. Customization of the mobile health platform, implementation of mobile data collection among the various studies, as well as, the storing, curation, linkage, and analyses of the mobile health data.","city":"Durham","state":"NC","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"fe47aba877e299be531b899583784d69","tax_year":2022,"amount_type":"paid","amount_usd":55257,"noncash_amount_usd":0,"recipient_name":"Seven Bridges Genomics Inc","recipient_ein":"453415885","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Exceptional Longevity Data Management and Coordinating Center, develop integration between Sage's data sharing portal, Synapse, and CABATICA.","city":"Boston","state":"MA","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"52335d41a69b9a092d3b6cbd926f332a","tax_year":2022,"amount_type":"paid","amount_usd":43998,"noncash_amount_usd":0,"recipient_name":"Harvard University Medical School","recipient_ein":"042103580","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Multi-Consortia Coordinating Center (MC2 Center) for Cancer Biology: Building Interdisciplinary Scientific Communities, Coordinating Impactful Resource Sharing, and Advancing Cancer Research.","city":"Boston","state":"MA","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"c7aa68785ce70f6b4e6aa38f37b597f7","tax_year":2022,"amount_type":"paid","amount_usd":42329,"noncash_amount_usd":0,"recipient_name":"Translational Genomics Research Institute","recipient_ein":"753065445","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Exceptional Longevity Data Management and Coordinating Center, develop analytical methods for accommodating and exploring heterogeneity in large aggregated databases. They will also apply these methods with the other invetigators as well as researchers associated with the consortia that generated the aggregated data.","city":"Phoenix","state":"AZ","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"9ee04c9a6d559a170a224d96d53b5b5f","tax_year":2022,"amount_type":"paid","amount_usd":42315,"noncash_amount_usd":0,"recipient_name":"The Pennsylvania State University","recipient_ein":"246000376","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Phase 1 and 2: RECOVER Mobile Health Platform/Mobile Health Repositories Working Group: Develop process for MHP to collect PASC related mobile health data from participants and share this data with MHDR to clean curate, conduct QA/QC, store and provide access to researchers. Customization of the mobile health platform, implementation of mobile data collection among the various studies, as well as, the storing, curation, linkage, and analyses of the mobile health data.","city":"University Park","state":"PA","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"b12ddf1a1e8f1ab66743c8111162d074","tax_year":2022,"amount_type":"paid","amount_usd":37046,"noncash_amount_usd":0,"recipient_name":"Yale University","recipient_ein":"060646973","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Multi-Consortia Coordinating Center (MC2 Center) for Cancer Biology: Building Interdisciplinary Scientific Communities, Coordinating Impactful Resource Sharing, and Advancing Cancer Research.","city":"New Haven","state":"CT","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"411b0861301652d300553593dce5ad21","tax_year":2022,"amount_type":"paid","amount_usd":34922,"noncash_amount_usd":0,"recipient_name":"OCHIN Inc","recipient_ein":"200195556","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"As part of OCHIN's participation in the N3C Network, regulatory/compliance requirements, execute Data Transfer Agreement between OCHIN and NCATS, execute a reliance agreement on the approved Johns Hopkins IRB.","city":"Portland","state":"OR","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"5376ef58f94be419c9016d43cefac365","tax_year":2022,"amount_type":"paid","amount_usd":31464,"noncash_amount_usd":0,"recipient_name":"University of California San Francisco","recipient_ein":"946036493","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Phase 1 and 2: RECOVER Mobile Health Platform/Mobile Health Repositories Working Group: Develop process for MHP to collect PASC related mobile health data from participants and share this data with MHDR to clean curate, conduct QA/QC, store and provide access to researchers. Customization of the mobile health platform, implementation of mobile data collection among the various studies, as well as, the storing, curation, linkage, and analyses of the mobile health data.","city":"San Francisco","state":"CA","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"ba59f3fd1ec32a844485ab17a6213889","tax_year":2022,"amount_type":"paid","amount_usd":23528,"noncash_amount_usd":0,"recipient_name":"University of Colorado Denver","recipient_ein":"840644739","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Provide support for governance issues and regulatory coordination with NIH, providing technical management support for project teams, training and coordination for sites to participate in analytical activities, and support for public relations and dissemination of research outcomes for the COVID 19 Cohort Collaborative for Disease Modeling project.","city":"Denver","state":"CO","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"279ba3cd65398ea41a0f216bddb70e87","tax_year":2022,"amount_type":"paid","amount_usd":16797,"noncash_amount_usd":0,"recipient_name":"Mayo Clinic","recipient_ein":"416011702","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Enhance natural language processing capabilities across CTSA institutions through community engagement and accelerate the use of clinical narratives for rapid COVID-19 clinical research through team science collaboration.","city":"Rochester","state":"MN","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"9f4c5fff729bee58f555f40e423ed809","tax_year":2022,"amount_type":"paid","amount_usd":5861,"noncash_amount_usd":0,"recipient_name":"University of Wisconsin Madison","recipient_ein":"396006492","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Multi-Consortia Coordinating Center (MC2 Center) for Cancer Biology: Building Interdisciplinary Scientific Communities, Coordinating Impactful Resource Sharing, and Advancing Cancer Research.","city":"Madison","state":"WI","recipient_type":"organization","object_id":"202313189349304141"},{"grant_id":"5b7da5ce82206d4b768a7e92dbf64e10","tax_year":2020,"amount_type":"paid","amount_usd":436242,"noncash_amount_usd":null,"recipient_name":"Institute for Systems Biology","recipient_ein":"912003593","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"A data and analytic platform for immuno-oncology community.","city":"Seattle","state":"WA","recipient_type":"organization","object_id":"202113139349303681"},{"grant_id":"1c6954e47c46df3ff97e08ce492ead4f","tax_year":2020,"amount_type":"paid","amount_usd":317805,"noncash_amount_usd":null,"recipient_name":"Icahn School of Medicine at Mount Sinai","recipient_ein":"136171197","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Interdisciplinary Research to Understand the Complex Biology of Resilience to Alzheimer's Disease Risk is to generate deeper understanding of the mechanisms by which gene environment interactions lead to cognitively resilient phenotypes in the presence of high risk for disease and identify new therapeutic targets amenable to pharmacologic and non-pharmacologic disease prevention strategies.","city":"New York","state":"NY","recipient_type":"organization","object_id":"202113139349303681"},{"grant_id":"e601b1fc1e08dc673da4515570fa6dc4","tax_year":2020,"amount_type":"paid","amount_usd":214468,"noncash_amount_usd":null,"recipient_name":"University of Washington","recipient_ein":"916001537","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Wellcome is engaging the Supplier as a learning partner to prototype and test best ways to build a Global Mental Health Databank (GMH Databank) that holds rich longitudinal data at scale from different global locations on approaches, treatments and interventions potentially relevant to anxiety or depression in 14- 24 year olds in order to help answer the question: \"what works for whom and why in relation to prevention, treatment, stopping relapse or managing ongoing difficulties for anxiety or depression including at least some 14-24 year olds\" (the \"Global Mental Health Databank\" or \"GMH Databank\").","city":"Seattle","state":"WA","recipient_type":"organization","object_id":"202113139349303681"},{"grant_id":"d37a7b226eb474304582824ab33ddab3","tax_year":2020,"amount_type":"paid","amount_usd":186548,"noncash_amount_usd":null,"recipient_name":"Boston University","recipient_ein":"042103547","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Accelerating alzheimer's disease innovation and discovery by lowering barriers to Framingham cognitive aging and dementia data.","city":"New York","state":"NY","recipient_type":"organization","object_id":"202113139349303681"},{"grant_id":"5d0a7a8cae5a6519b16603a8ada5c65e","tax_year":2020,"amount_type":"paid","amount_usd":142840,"noncash_amount_usd":null,"recipient_name":"University of Arizona","recipient_ein":"742652689","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"The goal of the project is to validate small molecules (from in silico docking on the CD44 binding pocket and peptidomimetics of CD44 peptide) and peptides (from the peptide array) to disrupt the interaction between CD44 and FERM domain-containing proteins. These tools will further test the druggability of CD44 interactions with Moesin, and whether targeting protein-protein interactions can have a more specific effects than global inhibition of the ectodomain of CD44 using antibodies or small molecules. This will pave the way to validating therapeutic hypotheses for AMP-AD targets relating to protein-protein interactions.","city":"Tucson","state":"AZ","recipient_type":"organization","object_id":"202113139349303681"},{"grant_id":"3cb3089e5159a999d949793bcdf08415","tax_year":2020,"amount_type":"paid","amount_usd":75086,"noncash_amount_usd":null,"recipient_name":"Oregon Health & Science University","recipient_ein":"931176109","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Existing computational methods for single-cell RNA-seq signal correction and single-cell ATAC-seq peak quantification will be evaluated to select baseline methods respectively for each task, for comparison in the competition. An evaluation criteria will be developed for universal assessment of the participating computational approaches using public and in-house data. Additional experimental data for further validation will be generated and used, including dual experimental assay of scRNA-seq and scATAC-seq. Final results of the community challenge will be disseminated in multiple ways, including scientific manuscript.","city":"Portland","state":"OR","recipient_type":"organization","object_id":"202113139349303681"},{"grant_id":"489237210c62701305ca16c860d1a51a","tax_year":2020,"amount_type":"paid","amount_usd":53548,"noncash_amount_usd":null,"recipient_name":"Tufts University","recipient_ein":"042103634","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Dr. Williams will oversee the project and be responsible for the acquisition, mapping, and transfer of Tuft MC data to N3C, and for its use in a proof-of-concept analysis. He will work with Dr Justin Guinney and the leads of the N3C workstreams for Data Partnerships and Governance, Phenotype and Data Acquisition, and Data Ingestion and Harmonization, and the Palantir platform team (in-kind support only) to implement N3C policies and practices for data governance, transfer, ingestion, storage, and use. He will be a stakeholder collaborator to the \"Core Team\" of developers. Dr. Williams will also promote the contribution of high-resolution ICU data from other sites to N3C using the mappings from the ETL and disseminate resources that educate N3C users how signal analytic tools can be productively applied to these data.","city":"Boston","state":"MA","recipient_type":"organization","object_id":"202113139349303681"},{"grant_id":"2ece533a44b081a45e5327166d97c20f","tax_year":2020,"amount_type":"paid","amount_usd":35924,"noncash_amount_usd":null,"recipient_name":"IBM","recipient_ein":"130871985","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Advancing benchmarking and data sharing through crowd-sourced data competitions in cancer research and management.","city":"Yorktown Heights","state":"NY","recipient_type":"organization","object_id":"202113139349303681"},{"grant_id":"783c2a38444ddddc0dd035f6dc7f6978","tax_year":2018,"amount_type":"paid","amount_usd":489494,"noncash_amount_usd":0,"recipient_name":"Institute for Systems Biology","recipient_ein":"912003593","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Assist in the development of an integrative platform: the Pan-cancer Immune Atlas (iAtlas) to host the data and results derived from the PanCancerAtlas Immune Response Working Group and to provide external investigators witht the ability to reproduce results of the IRWG. Provide expertise related to the analyses of the metabolic and transcriptional regulatory networksand will work collaboratively to develop, implement, test, and benchmark all methods related to the dynamic analyses of the transcriptional regulatory and metabolic networks aimed at drug target discovery for Alzheimer's Disease. The Institute for Systems Biology will provide expertise related to the (dynamic) analyses of the metabolic and transcriptional regulatory networks and will work collaboratively to develop, implement, test, and benchmark all methods related to the dynamic analyses of the transcriptional regulatory and metabolic networks aimed at drug target discovery for the AMP-AD CC project.","city":"Seattle","state":"WA","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"4942e59da1caad59fc1eea538b23b9d2","tax_year":2018,"amount_type":"paid","amount_usd":325616,"noncash_amount_usd":0,"recipient_name":"Icahn School of Medicine at Mount Sinai","recipient_ein":"136171197","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Perform computational and integrative analysis of the AMP/AD data sets to develop a set of high probability therapeutic targets necessary for their assessment and integration into drug discovery efforts for the Agora project. Image-guided studies to determine the contribution of breast cancer cells to metastatic outgrowth Leukemias for the CSBC project.","city":"New York","state":"NY","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"315b252a8a7ec04488d78e0360e261fb","tax_year":2018,"amount_type":"paid","amount_usd":206908,"noncash_amount_usd":0,"recipient_name":"University of California San Diego","recipient_ein":"956006144","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"To determine the test validity and test-retest reliability of smartphone-based measurement of CRF. To evaluate the feasibility and acceptability of using a smartphone application to measure CRF. This will be examined using a system usability scale and assessing compliance and overall satisfaction with the administered protocol. Provide expert consultation in the use of agile science methods for creating strategies for facilitating sustained engagement with the MPower 2.0 application. This includes providing expertise related to behavioral theory, human centered design, and measurement strategies. Develop an experimental design and broader strategy for gathering evidence to foster iterative improvement on mPower to foster improved sustained engagement with the tool.","city":"La Jolla","state":"CA","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"4b77803c55d787592e0d491bda83b1ff","tax_year":2018,"amount_type":"paid","amount_usd":175960,"noncash_amount_usd":0,"recipient_name":"Stanford University","recipient_ein":"941156365","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Oversee the genomic profiling, analysis, and computational modeling of metastatic colorectal cancer patient data. Prioritize candidate metastasisassociated genes and provide for modeling in organoids. Contribute to the analysis of cell fitness and clone size distributions in the metastatic colon organoid models. Interpret the data from the microenvironmental arrays. Create a baseline model for future comparison using existing framework for Digital Mammography Challenge.","city":"Stanford","state":"CA","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"4f6276fdd54ad8dd20193e41d5fcbf1c","tax_year":2018,"amount_type":"paid","amount_usd":56144,"noncash_amount_usd":0,"recipient_name":"Fred Hutchinson Cancer Research Center","recipient_ein":"237156071","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Study the mechanisms that underlie metastatic castrate resistant prostate cancer(CRPC). We will combine approaches from pharmacology, as well as cell and computational biology to identify kinases that are functionally important for driving cell growth and proliferation in CRPC. We will employ Kinome regression approach to: (1) identify kinases in CRPC cell lines and patient-derived organoid models and test in silico predicted candidate kinase inhibitors in 3D bone-mimetic cultures; and (2) validate the effect of candidate kinase inhibitors in in vivo CRPC bone metastasis models, followed by molecular characterization.","city":"Seattle","state":"WA","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"f142ab6c606012c61d74f42b53239b58","tax_year":2018,"amount_type":"paid","amount_usd":56016,"noncash_amount_usd":0,"recipient_name":"University of Pittsburgh","recipient_ein":"250965591","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Combine approaches from pharmacology, as well as cell and computational biology to identify specific kinases that are functionally important for the growth of metastatic CRPC. We will also build a computational model to predict response to >300 naive kinase inhibitors in a physiological-relevant CRPC bone metastasis model. Further, we will probe the spatial nature of the kinase-driven signaling patterns in the tumors, which is critical to understanding the mechanisms of drug response. Overall, these studies have a strong potential to advance medical practices; a new therapeutic option for metastatic CRPC could give unprecedented hope to the providers and patients who currently face this disease with severely limited alternatives.","city":"Pittsburgh","state":"PA","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"fbad51b1c8932adab35efe2b0717142b","tax_year":2018,"amount_type":"paid","amount_usd":55976,"noncash_amount_usd":0,"recipient_name":"The University of Texas MD Anderson Cancer Center","recipient_ein":"746001118","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"Validate in 3D the top kinase inhibitors selected in the 2D screening. These experiments will be performed on up to 3 prostate cancer cellular models, including cell lines and patient-derived xenografts, testing different concentration of the inhibitors.","city":"Houston","state":"TX","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"d35e839fd8f4cf01edc959d8616ae582","tax_year":2018,"amount_type":"paid","amount_usd":52160,"noncash_amount_usd":0,"recipient_name":"Duke University","recipient_ein":"560532129","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Metastasis is the primary cause of cancer patient mortality and is virtually uncurable. In colorectal cancer (CRC), which represents the third leading cause of cancer-related mortality in the United States, 10-20% of patients with Stage II disease and 50% with Stage III develop recurrence, while another 20% of patients present with metastases at diagnosis. Current targeted therapies for metastatic colorectal cancer (mCRC) prolong survival by mere months with little benefit in the adjuvant setting. Improved treatment strategies are thus urgently needed, but require characterization of the molecular drivers and microenvironmental determinants of the metastatic phenotype. Critically, the advent of advanced genome-engineering and lineage tracing technologies, 3-D organotypic culture systems and platforms to probe the tumor microenvironment provides an unprecedented opportunity for rapid, functional and phenotypic screens towards delineation of the genotype-phenotype map in cancer.","city":"Durham","state":"NC","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"e2c83588ff49e1e31590bf4441885f88","tax_year":2018,"amount_type":"paid","amount_usd":47732,"noncash_amount_usd":0,"recipient_name":"Partners Healthcare System Inc","recipient_ein":"270273715","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Combine mouse mammary cancer models with high-resolution imaging to quantify early vs late disseminated cancer cells, outgrown metastases, and their colocalization and dynamics. To quantify behavior of disseminated cancer cells using laser scanning confocal microscopy and other techniques available at the MGH Center for Systems Biology.","city":"Somerville","state":"MA","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"42f77195267154fff2cdfddf82a3d2a2","tax_year":2018,"amount_type":"paid","amount_usd":46255,"noncash_amount_usd":0,"recipient_name":"University of Massachusetts Worcester","recipient_ein":"043167352","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"There is an ongoing debate concerning whether early DCCs or late DCCs drive metastasis during the life of a patient when both population will likely co-exist. We hypothesize that in fact both early and late disseminated cancer cells (DCCs) cooperate to drive metastatic outgrowth. Here, we adopt an innovative interdisciplinary approach combining metastatic tumor modeling, tissue engineering, high-resolution in vivo microscopy, and integrative omics analysis to tackle the problem. We believe the success of this pilot proposal will provide novel strategies to combat the deadly metastatic diseases, as well as foster our future collaborations.","city":"Worcester","state":"MA","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"2b01519796ff2a57a21bd9b3acc4a835","tax_year":2018,"amount_type":"paid","amount_usd":38685,"noncash_amount_usd":0,"recipient_name":"University of Arizona","recipient_ein":"742652689","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"The goal of the project is to develop small molecules (from in silico docking on the CD44 binding pocket and peptidomimetics of CD44 peptide) and peptides (from the peptide array) to disrupt the interaction between CD44 and FERM domain-containing proteins. These tools will help to define if the proteins are druggable, and whether targeting protein-protein interactions can have a more specific effects than global inhibition of the ectodomain of CD44 using antibodies or small molecules. This will pave the way to testing therapeutic hypotheses for AMP-AD targets relating to protein-protein interactions.","city":"Tucson","state":"AZ","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"46944a7b976fe566d01dadb68e5d2f76","tax_year":2018,"amount_type":"paid","amount_usd":36570,"noncash_amount_usd":0,"recipient_name":"Rutgers the State University of New Jersey","recipient_ein":"226001086","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"The research proposal outlines image-guided studies to determine the contribution of breast disseminated cancer cells to metastatic outgrowth.","city":"Piscataway","state":"NJ","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"f9bce69dc2afe61d78e41588dc88c276","tax_year":2018,"amount_type":"paid","amount_usd":21269,"noncash_amount_usd":0,"recipient_name":"Oregon Health & Science University","recipient_ein":"931176109","match_tier":"A","match_confidence":0.95,"match_method":"reported_ein_not_in_bmf","purpose":"CSBC Pilot testing and optimization of MCAT/Her2 crainbow cells on MEMA platform and MEMA optimization and screening.","city":"Portland","state":"OR","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"976f2381bb34eeaebf10c0325daa3aaa","tax_year":2018,"amount_type":"paid","amount_usd":19929,"noncash_amount_usd":0,"recipient_name":"San Ysidro Health","recipient_ein":"952801772","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"San Ysidro Health (SYHealth) will participate in the \"All of Us Research Program Sage Bionetworks - Federally Qualified Health Centers Consent Study\" for participant recruitment and data collection. Findings from this study will be used immediately to improve, elaborate, and/or supplement AoURP informed consent materials for AoURP national launch. The project begins with formative work to determine study approach and contribute to study protocols and ends with data submission and analysis verification by the site PI.","city":"San Diego","state":"CA","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"9cded98bbdc5c5c5f2bb36de02f6f92f","tax_year":2018,"amount_type":"paid","amount_usd":18845,"noncash_amount_usd":0,"recipient_name":"Hudson River Healthcare Foundation","recipient_ein":"200151252","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Research Assistants (RAs) will recruit potential participants using a variety of techniques including engagement tabling in Barham House, a senior apartment building, at the Peekskill Kiley Center with the Community Action Program, and at local community venues like the Salvation Army, the Peekskill Library, and a local homeless shelter, in addition to health-center based recruitment. The RAs and Pilot Coordinator will liaise with community stakeholders to coordinate such recruitment efforts. Interested individuals are screened by RAs using the REALM-SF tool and, if eligible, invited to participate in a 1:1 interview or a focus group. Each session lasts approximately 1 hour and is facilitated and recorded by a Research Assistant. An additional RA participates for notetaking purposes as appropriate. In addition to these implementation activities, our PIs and Project Coordinators liaise with the other FQHCs involved, with Sage, and with MITRE to provide ongoing feedback on the REALM","city":"Peekskill","state":"NY","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"ffd0080ef25e994c8010fa888a11e51b","tax_year":2018,"amount_type":"paid","amount_usd":7667,"noncash_amount_usd":0,"recipient_name":"University of Rochester","recipient_ein":"160743209","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Provide consultation on interpretation and guidance on mPower 1.0 analysis and design and scientific strategy for mPower 2.0 data collection.","city":"Rochester","state":"NY","recipient_type":"organization","object_id":"201922899349300212"},{"grant_id":"206a84932b828f01d67a10db3de4f2b9","tax_year":2018,"amount_type":"paid","amount_usd":5677,"noncash_amount_usd":0,"recipient_name":"New York University","recipient_ein":"135562308","match_tier":"A","match_confidence":1,"match_method":"reported_ein_in_bmf","purpose":"Data generation and analysis for the Proteogenomics Computational Challenge","city":"New York","state":"NY","recipient_type":"organization","object_id":"201922899349300212"}],"filings":[{"object_id":"202543189349312819","tax_period_end":"2024-12-31","filing_submission_date":null,"return_version":"2024v5.2","filing_year":2025,"tax_year":2024,"form_type":"990"},{"object_id":"202433589349300503","tax_period_end":"2023-12-31","filing_submission_date":null,"return_version":"2023v5.0","filing_year":2025,"tax_year":2023,"form_type":"990"},{"object_id":"202313189349304141","tax_period_end":"2022-12-31","filing_submission_date":null,"return_version":"2022v5.0","filing_year":2023,"tax_year":2022,"form_type":"990"},{"object_id":"202113139349303681","tax_period_end":"2020-12-31","filing_submission_date":null,"return_version":"2020v4.0","filing_year":2021,"tax_year":2020,"form_type":"990"},{"object_id":"201922899349300212","tax_period_end":"2018-12-31","filing_submission_date":null,"return_version":"2018v3.0","filing_year":2019,"tax_year":2018,"form_type":"990"}],"chunked":false,"dataset_version":"2026.09.0","built_at":"2026-09-03T21:13:09+00:00"}