Grant List
Represents Grant table in the DB
GET /v1/grants?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=2&sort=awardee_organization", "prev": null }, "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": "6681", "attributes": { "award_id": "75N92021C00018-P00002-9999-1", "title": "RADX TECH 2375 - POINT OF NEED, SALIVA-BASED, COVID-19 TESTING PLATFORMS", "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": "2021-07-01", "end_date": "2022-06-30", "award_amount": 12970000, "principal_investigator": { "id": 22379, "first_name": "DAVE", "last_name": "BEEBE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "The key conceptual insight underpinning this proposal is that detecting individuals who are most likely to transmit SARS-CoV-2 is essential to mitigating the pandemic and reopening America. Our approach consciously contrasts with most existing nucleic acid testing platforms, which begin from the premise that maximizing detection sensitivity is the goal. We argue that striving for maximum sensitivity is at odds with the current needs for broad population based testing and that in a public health emergency, nucleic acid testing should be designed to maximize the number of people who can be tested for high viral loads consistent with shedding of live virus, in the greatest number of settings, at the lowest possible cost. To achieve this we couple a proven, ultrafast nucleic acid extraction method with rapid detection of amplified nucleic acids in an assay that can be both massively scaled in centralized reference labs and also used by point-of-care testing providers. The key enabling technology is a new, but proven, nucleic acid extraction method that reliably, quickly, and easily extracts, purifies, and concentrates viral RNA from a variety of sample types including nasal swabs and saliva in a highly parallel format. RNA prepared using this extraction method can be reliably amplified and detected using a simple colorimetric assay following isothermal amplification. These two technologies combined provide a testing platform that can enable millions of tests a week, at low cost, in both centralized laboratories and at point-of-care using technicians with no specialized training to support test/isolate/trace.", "keywords": [ "Americas", "Biological Assay", "COVID-19 testing", "Conscious", "Goals", "Individual", "Laboratories", "Methods", "Nucleic Acid Amplification Tests", "Nucleic Acids", "Persons", "Provider", "RADx Tech", "RNA", "SARS-CoV-2 transmission", "Saliva", "Sampling", "Technology", "Testing", "Training", "Viral Load result", "Virus", "amplification detection", "base", "cost", "design", "detection sensitivity", "insight", "isothermal amplification", "nasal swab", "pandemic disease", "point of care", "point of care testing", "population based", "public health emergency", "rapid detection", "viral RNA" ], "approved": true } }, { "type": "Grant", "id": "8222", "attributes": { "award_id": "75N92021C00008-0-9999-1", "title": "AWARD A CONTRACT FOR RADX TECH - QORVO TO SECURE AN EUA APPROVED POC ANTIGEN TEST SYSTEM AS WELL AS INCREASE AN INCREMENTAL DAILY CARTRIDGE PRODUCTION", "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": "2021-04-02", "end_date": "2022-04-01", "award_amount": 24361759, "principal_investigator": { "id": 24054, "first_name": "HANJOON", "last_name": "RYU", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Qorvo Biotechnologies’ (Qorvo) investigational Bulk Acoustic Wave (BAW) sensor detection platform (Omnia TM ) targets viral antigen testing for use in Point-of-Care (POC) settings. The platform is designed to produce reliable and quantitative results matching central lab performance and improving confidence in POC tests. Developed over a 6+ year timeframe, the technological differentiation is in the detection core, where Qorvo has optimized the BAW device that is made at low cost and high volume (millions per day for cell phones) for liquid biosensing. Detection of SARS-CoV-2 antigen occurs with a shift in the biosensor resonance frequency as antigen (Nucleocapsid and Spike S1) protein mass accumulates at specific probes on the sensor surface. Traditional optical/ fluorescence sensing is replaced by high-sensitivity, high-specificity solid-state mass-based sensing. While this proposal is focused on antigen test development, Qorvo has submitted for a SARS-CoV-2 IgG antibody test EUA on the same BAW platform that was completed in less than 10 weeks with world-class performance of 100% specificity and 100% negative cross reactivity. Given this is just one of over a dozen other assays previously run through this platform, the results give us extreme confidence in our ability to execute the viral antigen technical and timeline tasks. Qorvo has invested heavily in manufacturing infrastructure commercial development for the antibody test as well as existing veterinary and human development products so the antigen will be part of a product suite. RADx assistance will enable acceleration of regulatory and US-based high-volume manufacturing ramp.", "keywords": [ "2019-nCoV", "Acceleration", "Acoustics", "Antigens", "Biological Assay", "Biosensing Techniques", "Biosensor", "Cellular Phone", "Contracts", "Detection", "Development", "Devices", "Fluorescence", "Frequencies", "Human Development", "Immunoglobulin G", "Infrastructure", "Investigation", "Liquid substance", "Nucleocapsid", "Optics", "Performance", "Production", "Proteins", "RADx", "RADx Tech", "Ramp", "Running", "SARS-CoV-2 antigen", "Secure", "Specificity", "Surface", "System", "TimeLine", "Viral Antigens", "antibody test", "antigen test", "base", "cost", "cross reactivity", "design", "detection platform", "improved", "point of care", "point of care testing", "product development", "sensor", "solid state" ], "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 } }, { "type": "Grant", "id": "5334", "attributes": { "award_id": "NNX08AX76G", "title": "\"THE XMM-LSS SURVEY: RE-OBSERVATION OF A05 POINTINGS AFFECTED BY RADIATION\" We propose to re-observe 19 XMM-LSS AOS fields significantly affected by radiation during A05 operations. They are part of the XMM Large Programme dedicated to full coverage of th", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2008-07-23", "end_date": "2010-09-29", "award_amount": 0, "principal_investigator": { "id": 18724, "first_name": "CAROL", "last_name": "LONSDALE", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "\"THE XMM-LSS SURVEY: RE-OBSERVATION OF A05 POINTINGS AFFECTED BY RADIATION\" We propose to re-observe 19 XMM-LSS AOS fields significantly affected by radiation during A05 operations. They are part of the XMM Large Programme dedicated to full coverage of th", "keywords": [], "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": "7666", "attributes": { "award_id": "1ZIAAT000036-03", "title": "Sociocultural & biobehavioral influences on pain expression and assessment", "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": 143657, "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 protocol measures pain-related facial responses in a diverse population to measure whether nonverbal responses to pain vary as a function of biological and sociocultural factors. We will then measure whether individuals (both healthy volunteers and medical providers) pay attention to different features of pain or assess pain differently in in-group relative to out-group individuals, and whether we can develop interventions to reduce any biases in attention or pain assessment. This year, we continued data collection for our first sub-study on the protocol, and began to prepare stimuli for sub-studies 2 and 3. The first sub-study includes two visits for most participants. During the first visit, we assess eligibility via eligibility checklist, urine screen, nursing assessment, and a standard clinical interview diagnostic. During the second visit, we use video recording and facial electromyography to measure facial responses to painful stimuli. We administer three types of noxious stimuli: electric shock, thermal pain, and cold water. In FY20 we had 19 new participants complete at least one visit and 16 participants who completed all tasks (3 FY19 subjects completed in FY20). This places us at 87 total participants who have completed at least one visit and 64 participants who completed both visits. Data collection will be complete when we have 100 participants who have completed both visits. We are using specialized software to measure facial responses via video and to avoid implicit biases that could affect results if we used human coders. We will measure whether sex differences are observed in facial responses that are similar to sex differences in pain, as well as whether we see differences in facial responses or sex differences as a function of race, ethnicity, or identity centrality of race or sex. We have begun analyzing facial and autonomic data from the study to establish our data processing pipeline. Following completion, sub-study 1 participants are asked whether they want their images to be included in a database that will be shown to other participants. Images of participants who opt into this database will be used as stimuli for our subsequent sub-studies 2 and 3, which use eye tracking to measure how individuals (both naive participants and medical providers) view and judge pain in others that they perceive to be similar or different from them. Through this, we hope to gain insight on behavioral mediators of health disparities in pain. If we identify targets that contribute to differences in perceived pain, we will use these to develop interventions and see if individuals can improve accuracy in sub-study 3. We have begun making stimulus clips from participants who opted into the database and are in the process of designing sub-studies 2 and 3. 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. Fortunately we have received approval to resume healthy volunteer research. We are in the process of modifying this protocol to allow for screening and data collection through secure remote platforms prior to having participants visit NIH in person, which will reduce the duration of the face to face procedures and provide protection of both participants and laboratory staff. We have modified our experiment room so that participants and experimenters will be in different rooms and interact through a video monitoring and intercom system, thereby allowing us to ensure safety and complete sub-study 1 without obscuring facial responses due to masks. In addition to the data collection and analysis mentioned above, we published one commentary that is relevant to this line of research, in which we argued that studies of facial responses must include a diverse sample, particularly at this time when artificial intelligence is being trained on facial databases (Dildine & Atlas, 2019). We also have been preparing a systematic review on the relationship between pain and discrimination, and conducting several IRB-exempt online studies that measure perception of pain in computer generated facial expressions which are also relevant for this line of work.", "keywords": [ "Address", "Affect", "Artificial Intelligence", "Atlases", "Attention", "Back", "Behavioral", "Biological", "Biological Process", "COVID-19 pandemic", "Clinical", "Clip", "Code", "Computer software", "Data", "Data Analyses", "Data Collection", "Databases", "Diagnostic", "Discrimination", "Disease", "Electromyography", "Eligibility Determination", "Ensure", "Ethnic Origin", "Face", "Facial Expression", "Feedback", "Foundations", "Health", "Health Personnel", "Human", "Image", "Individual", "Institutional Review Boards", "Instruction", "Intervention", "Interview", "Laboratories", "Link", "Masks", "Measures", "Mediator of activation protein", "Medical", "Minority", "Monitor", "Nursing Assessment", "Outcome", "Pain", "Pain Measurement", "Pain Research", "Pain Threshold", "Pain management", "Participant", "Patients", "Persons", "Physiological", "Population Heterogeneity", "Procedures", "Process", "Protocols documentation", "Provider", "Psychophysiology", "Published Comment", "Publishing", "Race", "Reporting", "Research", "Research Design", "Safety", "Sampling", "Secure", "Series", "Sex Differences", "Shapes", "Shock", "Social Processes", "Stimulus", "Symptoms", "System", "Testing", "Time", "Training", "United States National Institutes of Health", "Urine", "Video Recording", "Visit", "Visual attention", "Water", "Work", "adverse outcome", "biobehavior", "computer generated", "data analysis pipeline", "design", "directed attention", "disadvantaged population", "efficacy testing", "experience", "experimental study", "health disparity", "healthy volunteer", "implicit bias", "improved", "insight", "pain perception", "pain reduction", "programs", "psychosocial", "response", "screening", "sex", "social", "social culture", "social factors", "social neuroscience", "systematic review", "therapy design", "visual tracking", "volunteer" ], "approved": true } }, { "type": "Grant", "id": "10497", "attributes": { "award_id": "75N93022C00050-0-9999-1", "title": "CAPTURING MEDICAL MISINFORMATION IN SOCIAL MEDIA USING AN ADVANCED AI SOLUTION SET", "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": "2022-08-08", "end_date": "2023-08-07", "award_amount": 300000, "principal_investigator": { "id": 26504, "first_name": "MANOOCHEHR", "last_name": "GHIASSI", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "To develop digital tools to identify and combat malicious digital bots that spread misinformation about infectious disease treatments and vaccines, including COVID-19 vaccines.", "keywords": [ "2019-nCoV", "Basic Science", "COVID-19 vaccine", "Coronavirus", "Medical", "Misinformation", "Vaccines", "combat", "digital", "infectious disease treatment", "social media", "tool" ], "approved": true } }, { "type": "Grant", "id": "10554", "attributes": { "award_id": "75N94021C00007-P00005-9999-1", "title": "DEVELOPMENT OF AN ELECTRONIC CARE PLAN FOR PERSONS WITH MULTIPLE CHRONIC CONDITIONS (E-CARE)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2023-09-29", "award_amount": 111971, "principal_investigator": { "id": 26567, "first_name": "EVELYN", "last_name": "GALLEGO", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Through funding made available from the Department of Health and Human Services’ Patient-Centered Outcomes Research Trust Fund (PCOR TF), the NIDDK has partnered with the Agency for Healthcare Research and Quality (AHRQ) on the development and testing of a pilot suite of interoperable electronic (e-) care planning tools to facilitate aggregation and sharing of critical patient-centered data across home-, community-, clinic- and research-based settings for persons with multiple chronic conditions (MCC), including chronic kidney disease (CKD), type 2 diabetes mellitus (T2D), cardiovascular disease (CVD), chronic pain, and post-acute sequelae of SARS-CoV-2 infection (PASC). Care plans are a prominent part of multifaceted, care coordination interventions that reduce mortality and hospitalizations and improve disease management and satisfaction. In addition, proactive care planning promotes person-centeredness, improves outcomes, and reduces the cost of care. Development of care plans based on standardized data—leveraging standards such as Fast Healthcare Interoperability Resources (FHIR) and Substitutable Medical Apps, Reusable Technology (SMART) (https://smarthealthit.org/) on FHIR—has been proposed as a method for enabling electronic systems to pull together and share data elements automatically and dynamically. Such aggregated data would not only provide actionable information to identify and achieve health and wellness goals for individuals with MCC, but also would reduce missingness and improve quality of point-of-care data for use in pragmatic research. The NIDDK is leading the development component of the project, while real-world testing is being led by AHRQ.", "keywords": [ "Cardiovascular Diseases", "Caregivers", "Caring", "Chronic", "Chronic Kidney Failure", "Coordination and Collaboration", "Data", "Data Aggregation", "Data Element", "Development", "Disease Management", "Fast Healthcare Interoperability Resources", "Funding", "Goals", "Health", "Health Status", "Home", "Hospitalization", "Individual", "Intervention", "Medical", "Methods", "National Institute of Diabetes and Digestive and Kidney Diseases", "Non-Insulin-Dependent Diabetes Mellitus", "Outcomes Research", "Patient-Focused Outcomes", "Patients", "Persons", "Post-Acute Sequelae of SARS-CoV-2 Infection", "Research", "System", "Technology", "Testing", "Trust", "United States Agency for Healthcare Research and Quality", "United States Dept. of Health and Human Services", "base", "care coordination", "care costs", "chronic pain", "community clinic", "data management", "data sharing", "data standards", "improved", "improved outcome", "interoperability", "mortality", "multiple chronic conditions", "patient oriented", "point of care", "satisfaction", "tool" ], "approved": true } }, { "type": "Grant", "id": "8070", "attributes": { "award_id": "75N92021P00061-0-0-1", "title": "EXERCISE OPTION PERIOD 2 TO PROVIDE SERVICES IN SUPPORT OF NIBIB COVID-19 RADX PROJECT FOR THE PERIOD 10/16/2021 - 01/31/2022", "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)", "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [], "start_date": "2021-02-01", "end_date": "2021-05-31", "award_amount": 14871886, "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 testing", "Centers for Disease Control and Prevention (U.S.)", "Clinical", "Contracts", "Department of Defense", "Development", "Device Designs", "Diagnostic tests", "Ensure", "Exercise", "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 } } ], "meta": { "pagination": { "page": 1, "pages": 1405, "count": 14046 } } }