Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=4&sort=awardee_organization
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=awardee_organization", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=awardee_organization", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=5&sort=awardee_organization", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=3&sort=awardee_organization" }, "data": [ { "type": "Grant", "id": "9455", "attributes": { "award_id": "75N92019P00328-P00007-0-1", "title": "THE PURPOSE OF THIS MODIFICATION IS TO EXTEND LINE ITEM 1005 TO 1/31/21 FOR CONTINUING ENTREPRENEURIAL SERVICES FOR THE COVID-19 PANDEMIC.", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Biomedical Imaging and Bioengineering (NIBIB)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2019-08-16", "end_date": "2021-08-15", "award_amount": 3000026, "principal_investigator": { "id": 23963, "first_name": "ELIAS", "last_name": "CARO", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "The National Institute of Biomedical Imaging and Bioengineering (NIBIB) has an open solicitation for proposals to provide up to $500 million across multiple projects to rapidly produce innovative SARS-CoV-2 diagnostic tests that will assist the public’s safe return to normal activities. Rapid Acceleration of Diagnostics (RADx), is a fast-track technology development program that leverages the National Institutes of Health (NIH) Point-of-Care Technology Research Network (POCTRN). RADx will support novel solutions that build the U.S. capacity for SARS-CoV-2 testing up to 100-fold above what is achievable with standard approaches. RADx is structured to deliver innovative testing strategies to the public as soon as late summer 2020 and is an accelerated and comprehensive multi-pronged effort by NIH to make SARS-CoV-2 testing readily available to every American.", "keywords": [ "American", "COVID-19", "COVID-19 detection", "COVID-19 diagnostic", "COVID-19 pandemic", "COVID-19 testing", "Centers for Disease Control and Prevention (U.S.)", "Clinical", "Contracts", "Department of Defense", "Development", "Device Designs", "Diagnostic tests", "Ensure", "Exhalation", "Funding", "Goals", "Home", "Improve Access", "Laboratories", "Life Cycle Stages", "Modification", "National Institute of Biomedical Imaging and Bioengineering", "Patients", "Performance", "Point of Care Technology", "Privatization", "Program Development", "RADx", "Readiness", "Research", "Saliva", "Sampling", "Seasons", "Sensitivity and Specificity", "Services", "Speed", "Structure", "Technology", "Test Result", "Testing", "Time", "TimeLine", "United States National Institutes of Health", "Validation", "Virus", "base", "commercialization", "cost", "design", "detection limit", "flu", "handheld mobile device", "home test", "improved", "innovation", "meetings", "novel", "point of care", "product development", "programs", "scale up", "technology development", "user-friendly" ], "approved": true } }, { "type": "Grant", "id": "13498", "attributes": { "award_id": "75N95020D00011-0-759502300002-1", "title": "NCATS CYBERSECURITY SERVICES DIVISION PROGRAM SUPPORT", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-29", "end_date": "2024-02-28", "award_amount": 1427260, "principal_investigator": { "id": 29624, "first_name": "", "last_name": "", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "National COVID-19 Cohort Collaborative (N3C): The National COVID-19 Cohort Collaborative (N3C) sponsors the NIH COVID-19 Data Enclave, https://covid.cd2h.org/, one of the largest data enclaves in the world supporting COVID-19 research. N3C is a partnership among the NCATS-supported Clinical and Translational Science Awards (CTSA) Program hubs, the National Center for Data to Health (CD2H), and the NIGMS-supported Institutional Development Award Networks for Clinical and Translational Research (IDeA-CTR), with overall stewardship by NCATS. The N3C program is essentially a medium sized business, consisting of thousands of researchers, requiring enterprise level information technology (IT) support as part of a virtual research organization (VRO). This contract is necessary to ensure that NCATS and N3C can continue to provide adequate support for a secure, collaborative, VRO. This contract allows for continued support of the VRO which supports all of the required information technology functions to support an environment of over 4,000 users, including cloud-based productivity tools, a service desk, commercial and open-source deployments of analytical tools for the community to use, and expansion of the data types available for analysis, such as imaging, viral variant genomic sequences, etc. The common need is to share a collaborative cloud environment capable of ingesting billions of data points and performing a variety of complex analyses against multimodal data types, ranging from pathology and radiology data, synthetic data, genomic information, electronic health records (EHRs) and a wide variety of others. All of this must be done while meeting the highest levels of security and privacy, given the sensitivity of some of the data types being collected and the importance of the work being done in the environment. This contract provides IT security support for all of these enterprise IT efforts.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4877", "attributes": { "award_id": "NNX11AG68G", "title": "The U.S. Antarctic Meteorite Program has been one of the most successful endeavors in the history of meteoritics and planetary science. Through the 2009-2010 field season, -19,700 meteorites have been recovered. These meteorites have produced fundamental", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2011-01-03", "end_date": "2017-06-30", "award_amount": 0, "principal_investigator": { "id": 16929, "first_name": "CATHERINE", "last_name": "CORRIGAN", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "The U.S. Antarctic Meteorite Program has been one of the most successful endeavors in the history of meteoritics and planetary science. Through the 2009-2010 field season, -19,700 meteorites have been recovered. These meteorites have produced fundamental", "keywords": [], "approved": true } }, { "type": "Grant", "id": "8834", "attributes": { "award_id": "75N95021P00635-0-0-1", "title": "Acquisition of Smile CDR FHIR-based clinical data repository Software. FY21 procurement.", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2021-09-27", "end_date": "2022-09-26", "award_amount": 174000, "principal_investigator": { "id": 24646, "first_name": "CLEMENT", "last_name": "NG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "The NCATS National COVID Cohort Collaborative (N3C) Data Enclave, a centralized and secure data platform featuring powerful analytics capabilities for online discovery, visualization and collaboration for researchers studying COVID-19. The data are robust in scale and scope and are transformed into a harmonized data set to help scientists study COVID 19, including potential risk factors, protective factors and long-term health consequences. The N3C Data Enclave is anticipated to be one of the largest collections of data on COVID-19 patients in the United States. Data analysis within the enclave is supported by both R and Python, the most widely used open-source platforms for statistical analysis and data science. Researchers requesting access to, or working within, the enclave are encouraged to assemble collaborative teams with diverse expertise in such areas as clinical research, statistical analysis and informatics to make the best use of the N3C Data Enclave. A core tenet of the enclave is that it is both accessible and secure, allowing researchers to pursue research in a safe environment conducive to collaborative discovery while also allowing for the deployment of a wide variety of open source tools and components.", "keywords": [ "Area", "COVID-19", "COVID-19 patient", "Clinical Research", "Collaborations", "Data", "Data Analyses", "Data Collection", "Data Science", "Data Set", "Environment", "Fast Healthcare Interoperability Resources", "Health", "Informatics", "Pythons", "Research", "Research Personnel", "Risk Factors", "Scientist", "Secure", "Smiling", "Statistical Data Interpretation", "United States", "Visualization", "base", "clinical data repository", "cohort", "coronavirus disease", "data enclave", "data harmonization", "open source", "open source tool", "protective factors", "software repository" ], "approved": true } }, { "type": "Grant", "id": "7665", "attributes": { "award_id": "1ZIAAT000030-06", "title": "Neural and psychological mechanisms of pain perception", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Center for Complementary and Integrative Health (NCCIH)" ], "program_reference_codes": [], "program_officials": [], "start_date": null, "end_date": null, "award_amount": 179571, "principal_investigator": { "id": 23472, "first_name": "Lauren", "last_name": "Atlas", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "This was the sixth year of the Section on Affective Neuroscience and Pain, and the lab continued to grow and see former fellows move on to exciting new positions. Three new fellows (one postdoc, two postbacs) joined the lab in 2020, and one postbac began a Neuroscience PhD program at UCLA. We continued to make progress on our human subjects protocol \"Neural and psychological mechanisms of pain perception.\" The protocol includes five sub-studies designed to a) isolate different aspects of pain modulation, b) compare acute pain modalities (e.g., thermal pain versus shock-induced pain), and c) compare and contrast pain with other hedonic and perceptual domains (e.g., taste). In all studies, we measure decisions about pain experience (self-report) as well as neural and physiological responses to noxious stimuli that cause pain. During analysis, we combine computational modeling with advanced neuroimaging analyses to isolate the neural and psychological mechanisms that mediate the effects of expectations, attention, and emotion on subjective pain. Our protocol requires all participants to go through an initial calibration session, following screening. Participants complete questionnaires, and then undergo a procedure that measures pain ratings in response to noxious heat stimuli and determines each participants pain threshold and tolerance. 338 individuals completed this procedure to date (11 participants during Year 6 of the protocol, FY19-20, in addition than those who completed the procedure as part of the NCCIH screening protocol, 16-AT-0077). We published one manuscript using data from this protocol in the past fiscal year (Rahnev et al., 2020, Nature Human Behavior) and submitted two additional manuscripts (Dildine, Necka, Atlas, Under review). Two of these papers focus on data from a subset of participants who provided confidence ratings during the pain calibration procedure. These data were included in a Confidence Database (Rahnev et al., 2020) to provide for cross modal comparisons of confidence in perceptual processes. We also analyzed the association between confidence in pain ratings and implicit behavioral measures during the pain rating process, namely eye tracking and reaction time. For the first time, we demonstrated that individuals can provide meta-cognitive judgments about their subjective pain, and that confidence is predicted by reaction time during pain rating. In future work, we will draw on these findings to measure the associations between expectations, uncertainty, and pain. We hypothesize that placebos might decrease pain but increase uncertainty. This paper (Dildine, Necka, and Atlas, Under review) is currently under review and we anticipate publication in FY21. A third paper (Mischkowski et al., Under revision) measures the association between dispositional mindfulness and pain during the calibration procedure. We found that individuals who report higher levels of mindfulness report less pain in post-task questionnaires, but show no difference in pain ratings collected during or immediately after noxious stimulation. We have completed data collection for two fMRI sub-studies in previous years and are currently preparing manuscripts for submission. In January 2020 we completed fMRI data collection from our third fMRI sub-study, which measures the relationship between pain and pleasant and unpleasant taste perception and how expectations modulate perception across domains (Lee et al., In progress). This study measures how predictive cues modulate pain, sugar perception, and salt perception. This study involves two visits: one outside the scanner to identify each subjects threshold and tolerance, and one inside the scanner in which participants are randomized to receive sugar, salt, or heat in a conditioning paradigm. This project was led by a postdoc in the Section, Dr. In-Seon Lee, until she began her faculty position in Korea in September 2019. Data collection for the remaining participants was completed in January 2020 by our data analyst and a postbac in the lab. 60 participants completed the fMRI study (20 per group) and we found significant cue-based expectancy effects on perceived intensity across groups, irrespective of modality. However cue effects on subjective valence were less robust and varied across modalities. We have begun pre-registered fMRI analyses aimed at isolating domain-specific as well as domain-general mechanisms that underlie expectancy, affective learning, and perception. We anticipate that the manuscript for this study will be submitted in FY21. Obviously the need to halt healthy volunteer research due to the COVID19 pandemic was a set-back for data collection progress on this protocol. However, we successfully shifted gears to focus on data analysis, as well as other experiments that involve online data collection. In addition to the study-specific analyses mentioned above, we also focused on new analyses relating data across sub-studies. First, we have looked at the reliability of our pain calibration procedure, to determine whether individuals report stable pain thresholds and tolerance across sessions. Although correlations are high, the intraclass correlation values to evaluate test-retest reliability of calibration measures are fair, suggesting that it is important for us to continue to calibrate individuals on each visit, and that pain sensitivity varies substantially within individuals. Preliminary analyses suggest that there are no consistent sex differences in reliability, therefore hormonal status is not a likely cause of fluctuations in sensitivity (further indicating that female participants should be included in all studies). We are currently measuring whether reliability varies as a function of the duration between visits, and whether the context (MRI scanner or behavioral experiment) alters sensitivity. We have also analyzed skin conductance data from all sub-studies using different analytic methods, and are comparing approaches to determine the best way to measure heat-evoked autonomic arousal. We expect both of these analysis projects to lead to independent publications to be submitted in early FY21. Fortunately we have received approval to resume healthy volunteer research. We plan to start with the sub-study designed to measure the relationship between attention and perception, and to resume piloting our follow up experiment comparing pain and taste perception with high resolution 7-tesla MRI. These projects will be led by a new postdoc in the lab and by the data analyst. In addition to the projects mentioned above, we published several collaborative papers, reviews, and commentaries that are relevant to this line of research including one paper on brain-body relationships and pain specificity (Lee et al., 2020), one paper on opioid analgesia (Leknes and Atlas 2020), and three collaborative papers on pain and placebo analgesia (Zheng et al., 2019; Geuter et al., 2020; Evers et al, In press).", "keywords": [ "Acute Pain", "Affective", "Animal Model", "Arousal", "Atlases", "Attention", "Back", "Behavior", "Behavioral", "Brain", "COVID-19 pandemic", "Calibration", "Clinical", "Cognitive", "Computer Models", "Cues", "Data", "Data Analyses", "Data Collection", "Databases", "Dissociation", "Doctor of Philosophy", "Eligibility Determination", "Emotions", "Expectancy", "Experimental Psychology", "Faculty", "Female", "Functional Magnetic Resonance Imaging", "Future", "Galvanic Skin Response", "Goals", "Hormonal", "Human", "Human Characteristics", "Individual", "Judgment", "Korea", "Lead", "Learning", "Magnetic Resonance Imaging", "Manuscripts", "Measures", "Mediating", "Modality", "Nervous system structure", "Neuraxis", "Neurobiology", "Neurosciences", "Opioid Analgesics", "Organism", "Outcome", "Pain", "Pain Threshold", "Pain management", "Paper", "Participant", "Pathway interactions", "Patient Self-Report", "Patient-Focused Outcomes", "Perception", "Physiological", "Placebo Effect", "Placebos", "Population", "Positioning Attribute", "Postdoctoral Fellow", "Procedures", "Process", "Protocols documentation", "Psychological Factors", "Psychophysiology", "Publications", "Published Comment", "Publishing", "Questionnaires", "Randomized", "Reaction Time", "Reporting", "Research", "Research Design", "Resolution", "Sex Differences", "Shock", "Signal Transduction", "Sodium Chloride", "Specificity", "Stimulus", "Taste Perception", "Testing", "Time", "Uncertainty", "Visit", "Work", "affective neuroscience", "analytical method", "base", "behavior measurement", "conditioning", "contextual factors", "emotional experience", "expectation", "experience", "experimental study", "follow-up", "healthy volunteer", "heat stimulus", "hedonic", "human model", "human subject", "mindfulness", "neurobiological mechanism", "neuroimaging", "neuromechanism", "pain perception", "pain processing", "pain relief", "pain sensitivity", "placebo analgesia", "programs", "psychologic", "relating to nervous system", "response", "screening", "sugar", "visual tracking" ], "approved": true } }, { "type": "Grant", "id": "7780", "attributes": { "award_id": "1ZIAMD000006-06", "title": "Understanding and reducing health disparities through social and behavioral research", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [], "start_date": null, "end_date": null, "award_amount": 443383, "principal_investigator": { "id": 23586, "first_name": "Kelvin", "last_name": "Choi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Understanding inter-relationships between social determinants and tobacco use With the increase in e-cigarette use in the US, we examined whether e-cigarette use can reduce disparities in cigarette smoking in the US. We analyzed the Tobacco Use Supplement of the Current Population Survey (TUS-CPS) and found that the prevalence of daily e-cigarette use, a behavior that is associated with smoking cessation, is low in the US adult smoker population. Additionally, the prevalence is particularly low among non-Hispanic Blacks, suggesting the e-cigarettes may increase smoking disparities by race. In a different study, we analyzed the Population Assessment of Tobacco and Health (PATH) study data to examine the association between secondhand smoke exposure and subsequent academic performance among youth. We found that youth who were exposed to more secondhand smoke (measured by hours per week) had lower subsequent academic performance compared to those who were not exposed to secondhand smoke. This finding suggests that secondhand smoke exposure could influence academic performance, which I an important factor for enrolling in post-secondary education. Investigate mediating and moderating factors associated with tobacco use disparities We continue to examine how tobacco marketing influence tobacco use behaviors. We analyzed data from the Population Assessment of Tobacco and Health (PATH) study and found that exposure to e-cigarette marketing is associated with subsequent e-cigarette experimentation among youth and young adult. In a focus group study with a racial/ethnically diverse group of young adult smokers, we explored their perceptions related to smoking cessation treatments, and found that many of them expressed negative perceptions toward these treatments. These findings indicate the need to better communicate efficacy of these treatment and facilitate access to them among young adult smokers, especially those in racial/ethnic minority populations. In collaboration with the PATH Study team, we examined how harm perceptions of tobacco products changes over time and how they relate to tobacco use behaviors. We found that perceived tobacco products to be harm was associated with not using the product, but use of product was also associated with lower harm perception subsequently. This highlight the importance of matching health risk messages with tobacco use behaviors to prevent tobacco use vs. promote cessation. In a separate analysis, we worked with the PATH Study team to examine if e-cigarette and pharmacotherapy use among smokers attempting to quit smoking are associated with long-term smoking cessation. We found that e-cigarette use, nor pharmacotherapy, was associated with long-term smoking cessation. This provides evidence on whether e-cigarettes should be used for smoking cessation, and highlight the limited efficacy of the current pharmacotherapy for smoking cessation. Investigate the impact of tobacco use patterns and health outcomes Through a collaboration with extramural investigators, we examined the Youth Risk Behavioral Survey data and found that e-cigarette use was associated with asthma among youth, independent of cigarette and marijuana use. This provides additional evidence on the possible health impact of e-cigarette on youth respiratory health. COVID-19 and Tobacco Use We have developed a study to examine how COVID-19 impact adult tobacco users, and how they have modified their tobacco use behaviors accordingly. The study has complete internal review and is schedule to launch in late FY2020.", "keywords": [ "Address", "Adult", "Advertising", "Area", "Asthma", "Behavior", "Behavioral", "Behavioral Research", "COVID-19", "Cessation of life", "Characteristics", "Collaborations", "Complex", "Data", "Data Analyses", "Databases", "Economics", "Education", "Electronic cigarette", "Enrollment", "Epidemiology", "Exposure to", "Extramural Activities", "Focus Groups", "Goals", "Health", "Health Communication", "Health Personnel", "Hour", "Individual", "Intervention", "Marketing", "Measures", "Mediating", "Modeling", "Not Hispanic or Latino", "Outcome", "Pattern", "Perception", "Performance", "Pharmacotherapy", "Population", "Population Analysis", "Population Assessment of Tobacco and Health", "Prevalence", "Price", "Public Health", "Reporting", "Research", "Research Personnel", "Risk", "Schedule", "Secondary Schools", "Smoker", "Smoking", "Smoking Cessation Intervention", "Social Marketing", "Surgeon", "Surveys", "Time", "Tobacco Industry", "Tobacco use", "Treatment Efficacy", "Vision", "Work", "Youth", "behavioral health", "cigarette smoking", "demographics", "disadvantaged population", "disparity reduction", "electronic cigarette use", "environmental tobacco smoke", "environmental tobacco smoke exposure", "ethnic diversity", "ethnic minority population", "health disparity", "insight", "marijuana use", "mortality", "novel", "population based", "population health", "population survey", "racial and ethnic", "racial disparity", "reduce tobacco use", "respiratory health", "sleep quality", "smoking cessation", "smoking prevalence", "social", "social determinants", "social health determinants", "socioeconomics", "tobacco advertising", "tobacco control", "tobacco prevention", "tobacco products", "tobacco user", "young adult" ], "approved": true } }, { "type": "Grant", "id": "15499", "attributes": { "award_id": "75N95024C00025-0-9999-1", "title": "NCATS CYBERSECURITY SERVICES PROGRAM SUPPORT. POP: 07/29/2024 - 09/18/2024.", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2024-07-29", "end_date": "2024-09-18", "award_amount": 297510, "principal_investigator": { "id": 32046, "first_name": "MARK", "last_name": "BACKUS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "National COVID-19 Cohort Collaborative (N3C): The National COVID-19 Cohort Collaborative (N3C) sponsors the NIH COVID-19 Data Enclave, one of the largest data enclaves in the world supporting COVID-19 research. N3C is a partnership among the NCATS-supported Clinical and Translational Science Awards (CTSA) Program hubs and the NIGMS-supported Institutional Development Award Networks for Clinical and Translational Research (IDeA-CTR), with overall stewardship by NCATS. The N3C program is essentially a medium sized business, consisting of thousands of researchers, requiring enterprise level information technology (IT) support as part of a virtual research organization (VRO). This contract is necessary to ensure that NCATS and N3C can continue to provide adequate support for a secure, collaborative, VRO. This contract allows for continued support of the VRO which supports all of the required information technology functions to support an environment of over 4,000 users, including cloud-based productivity tools, a service desk, commercial and open-source deployments of analytical tools for the community to use, and expansion of the data types available for analysis, such as imaging, viral variant genomic sequences, etc. The common need is to share a collaborative cloud environment capable of ingesting billions of data points and performing a variety of complex analyses against multimodal data types, ranging from pathology and radiology data, synthetic data, genomic information, electronic health records (EHRs) and a wide variety of others. All of this must be done while meeting the highest levels of security and privacy, given the sensitivity of some of the data types being collected and the importance of the work being done in the environment. This contract provides IT security support for all of these enterprise IT efforts.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "8098", "attributes": { "award_id": "75N92021C00003-0-9999-1", "title": "RAPID ACCELERATION OF DIAGNOSTICS (RADX) TECH PROJECT #6139: REVOGENE SARS-COV-2 ASSAY", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Biomedical Imaging and Bioengineering (NIBIB)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2021-02-01", "end_date": "2022-01-31", "award_amount": 5505000, "principal_investigator": { "id": 23980, "first_name": "TODD", "last_name": "WOODRICH", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Resubmission of Application 3136. This product concept has been updated to include Flu viral targets along with SARS-CoV-2. The Rapid Acute Respiratory Panel assay will be a molecular IVD assay practiced on an already deployed automated Revogene instrument which currently has 4 infectious disease FDA cleared assays. The intended use will be to detect the Flu A, Flu B and SARS-CoV-2 viruses from nasopharyngeal specimens collected from symptomatic patients suspected of viral infection. This will be a multiplexed viral panel for the differentiation of Flu from SARS-CoV-2 patients which will be of high clinical value in our upcoming Flu season 2020-2021. We plan to launch this assay with EUA status by October 2020. The assay will detect RNA sequences for these viral targets using PCR amplification technology coupled with real-time flourescence detection similar to our FDA cleared assays. The workflow is automated where the user will need to add the specimen to the assay consumable prior to loading on the instrument. The Revogene platform contains the necessary software to run the assay and report out positive/negative results. This assay is of very low complexity to practice with no precision pipetting steps and is eligible for CLIA waiver status. We currently have an installment base of instruments in the field where this assay will be practiced. For this product concept, we will need your assistance in discussing this concept with the FDA to allow us to gain EUA and CLIA waiver status especially for the Flu A/B targets in the panel.", "keywords": [ "2019-nCoV", "Acute", "Biological Assay", "COVID-19 assay", "COVID-19 patient", "Clinical", "Communicable Diseases", "Computer software", "Coupled", "Detection", "Molecular", "Patients", "RADx Tech", "RNA Sequences", "Reporting", "Running", "Seasons", "Specimen", "Technology", "Time", "Update", "Viral", "Virus", "Virus Diseases", "base", "betacoronavirus", "flu", "instrument", "respiratory", "waiver" ], "approved": true } }, { "type": "Grant", "id": "14008", "attributes": { "award_id": "75N91021F00056-P00005-0-1", "title": "Laboratory to Perform Assays of Coagulopathy Biomarkers for the National Cancer Institute’s COVID-19 in Cancer Patients Study (NCCAPS)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-03-01", "end_date": "2024-02-28", "award_amount": 155897, "principal_investigator": { "id": 24006, "first_name": "EDWARD", "last_name": "WONG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Lab will conduct coagulopathy assays for NCI to analyze as part of a correlative science objective in NCI COVID-19 in Cancer Patients Study (NCCAPS): A Longitudinal Natural History Study, ClinicalTrials.gov Identifier: NCT04387656 https://clinicaltrials.gov/ct2/show/NCT04387656", "keywords": [ "Biological Assay", "Biological Markers", "Blood Coagulation Disorders", "COVID-19", "Cancer Patient", "Laboratories", "National Cancer Institute", "Natural History", "Science" ], "approved": true } }, { "type": "Grant", "id": "9142", "attributes": { "award_id": "75N93020C00022-0-9999-1", "title": "DEVELOPMENT OF FERRET REAGENTS FOR USE IN THE CHARACTERIZATION OF IMMUNE RESPONSES TO RESPIRATORY INFECTIONS IN THE FERRET MODEL.", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2020-07-01", "end_date": "2022-06-30", "award_amount": 572817, "principal_investigator": { "id": 24917, "first_name": "TORI", "last_name": "RACE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Ferrets represent excellent models of human respiratory viruses such as influenza A virus, SARS-CoV and MERS-CoV. The goal of this proposal is to generate antibodies for analyzing immune cells and cytokine responses during respiratory infections in ferrets. The main focuses are immune cell markers and cytokines produced by these cells during immune responses. The contractor plans to use standard hybridoma techniques to generated monoclonal antibodies will then undergo extensive immunological characterization using various methods to show the specificity to recombinant immunogens as well as selected ferret samples.", "keywords": [ "Antibodies", "Antigens", "Cells", "Contractor", "Ferrets", "Generations", "Goals", "Hybridomas", "Immune", "Immune response", "Immunization", "Immunologics", "Influenza A virus", "Methods", "Middle East Respiratory Syndrome Coronavirus", "Modeling", "Monoclonal Antibodies", "Mus", "Proteins", "Reagent", "Recombinants", "Respiratory Tract Infections", "SARS coronavirus", "Sampling", "Specificity", "Techniques", "Validation", "cytokine", "human model", "respiratory virus", "response" ], "approved": true } } ], "meta": { "pagination": { "page": 4, "pages": 1405, "count": 14046 } } }