Represents Grant table in the DB

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            "type": "Grant",
            "id": "2721",
            "attributes": {
                "award_id": "3U54MD007586-35S5",
                "title": "The RCMI Program in Health Disparities at Meharry Medical College - Supplement",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
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                    "NIH Office of the Director"
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                    {
                        "id": 8024,
                        "first_name": "Rina",
                        "last_name": "Das",
                        "orcid": null,
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                ],
                "start_date": "1997-09-30",
                "end_date": "2022-09-20",
                "award_amount": 363750,
                "principal_investigator": {
                    "id": 8025,
                    "first_name": "Samuel E",
                    "last_name": "Adunyah",
                    "orcid": null,
                    "emails": "[email protected]",
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                    "keywords": "[]",
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                "other_investigators": [
                    {
                        "id": 8026,
                        "first_name": "JAMES E",
                        "last_name": "HILDRETH",
                        "orcid": null,
                        "emails": "",
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                        "keywords": null,
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                ],
                "awardee_organization": {
                    "id": 938,
                    "ror": "https://ror.org/00k63dq23",
                    "name": "Meharry Medical College",
                    "address": "",
                    "city": "",
                    "state": "TN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Meharry Medical College (MMC) is a Historically Black College/University located in Nashville Tennessee and the first medical school for African Americans in the South. It has a School of Medicine, School of Dentistry, and School of Graduate Studies & Research. In February 2021, it established a new fourth school, the School of Applied Computational Sciences (SACS), to provide academic training in data science and computing-related research on a variety of areas including medical, social, and environmental issues and trends that impact the health of minority and underserved populations. The Research Centers in Minority Institutions (RCMI) Program at MMC (in Health Disparities Research, RHDR@MMC) is a long-term NIMHD- funded endeavor that enables high quality basic, behavioral, and clinical research to eliminate health disparities. Our RCMI U54 grant supports health disparities research in many diseases including cardiovascular diseases, cancer, diabetes, HIV/AIDS and neurological diseases that disproportionally affect non-Hispanic Black population in the US. With the great potential of data science to transform industries, health care, and scientific discovery, this administrative supplement seeks to enhance the data science capacity of the RHDR@MMC program and foster collaborations between RCMI researchers and data scientists, to enable the RCMI investigators to assess and analyze big health sciences data to enhance the overall productivity of the RCMI program as well as contribute to addressing health disparities. Specifically, this supplement award will help create a data science task force for this project, identify data science needs of the RCMI researchers at Meharry, and foster collaborations between them and the data science experts in SACS which will include the development of a joint RCMI/SACS Workshop. This will enable SACS to provide RCMI researchers with much needed data science expertise and resources for study design, data infrastructure, data collection, data engineering, health informatics, and machine learning techniques, to enhance research outcome as well as the cooperation among investigators from different domains. It will enable the RCMI researchers of all levels to better address the challenges in their health disparities research. With this award, we expect that the RHDR@MMC program will be greatly empowered to advance research on minority health and health disparities.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10809",
            "attributes": {
                "award_id": "1R21AG080331-01",
                "title": "Development and Assessment of Diagnostic Accuracy of a Telemedicine-Based Delirium Assessment Tool (The Tele-CAM)",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute on Aging (NIA)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 21701,
                        "first_name": "Luci",
                        "last_name": "Roberts",
                        "orcid": null,
                        "emails": "",
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                ],
                "start_date": "2023-02-01",
                "end_date": "2025-01-31",
                "award_amount": 248635,
                "principal_investigator": {
                    "id": 26890,
                    "first_name": "Charles Adrian",
                    "last_name": "Austin",
                    "orcid": null,
                    "emails": "",
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                    "keywords": null,
                    "approved": true,
                    "websites": null,
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                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 817,
                    "ror": "",
                    "name": "UNIV OF NORTH CAROLINA CHAPEL HILL",
                    "address": "",
                    "city": "",
                    "state": "NC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
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                "abstract": "The overarching objective of this project is to develop and establish the diagnostic accuracy of a telemedicine- based delirium assessment tool, the TELE-CAM. Delirium, an acute change in cognition and attention is associated with a variety of undesirable outcomes including increased in-hospital mortality, long-term cognitive decline that mimics dementia, and increased risk for institutionalization. Delirium is prevalent in the post-operative population, and prevalence increases with age. Recent work performed by Dr. Austin and his research team demonstrated that many subjects were discharged home with active delirium. Patients discharged with active delirium to a nursing facility have worse outcomes than non-delirious patients. Despite the known negative effects of delirium in the post-acute care institution population, little is known about the impact of persistent delirium on functional recovery after discharge to the home setting. Current clinical diagnosis of delirium requires a face-to-face encounter, which limits the ability to feasibly perform frequent delirium assessments in the post-discharge setting. Over the past few years, devices that support videoconferencing, such as smart phones, have become commonplace. Concurrently, interest in telemedicine and remote diagnoses of cognitive disorders has grown. This interest has become even more acute due to the ongoing COVID-19 pandemic. We hypothesize that currently available videoconferencing capabilities can be easily and quickly utilized to perform reliable delirium assessments in older adults in the home setting. This project will refine and assess the diagnostic accuracy of a telemedicine-based delirium assessment tool based on the CAM (the TELE-CAM) that can be utilized in the home setting and assessed by remote researchers. We propose a prospective cohort study that will develop and refine this tool as well as demonstrate the feasibility of conducting in-home delirium assessments (Aim 1). We will also establish the diagnostic accuracy of our remote delirium assessment tool compared to a reference standard face-to-face assessment (Aim 2). We will enroll 400 older participants either hospitalized for an acute medical problem or major surgery for this project. The ability to perform in-home delirium assessments will prove invaluable to researchers investigating the appropriateness of discharging actively delirious patients’ home versus keeping them in the hospital until resolution of their delirium. Further, it will provide a method for clinicians to perform quick, remote delirium assessments of their patients.",
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                    "Age",
                    "Area Under Curve",
                    "Assessment tool",
                    "Attention",
                    "Blood Vessels",
                    "COVID-19 pandemic",
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                    "remote assessment",
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                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "11001",
            "attributes": {
                "award_id": "3G20AI167403-01S1",
                "title": "Improvements to the Regional Biocontainment Research Facilities at the University of Missouri",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
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                "funder_divisions": [
                    "National Institute of Allergy and Infectious Diseases (NIAID)"
                ],
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                    {
                        "id": 24445,
                        "first_name": "Nancy G.",
                        "last_name": "Boyd",
                        "orcid": null,
                        "emails": "",
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                ],
                "start_date": "2021-09-23",
                "end_date": "2024-02-29",
                "award_amount": 2340729,
                "principal_investigator": {
                    "id": 26971,
                    "first_name": "Paul E",
                    "last_name": "Anderson",
                    "orcid": null,
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                "awardee_organization": {
                    "id": 1049,
                    "ror": "",
                    "name": "UNIVERSITY OF MISSOURI-COLUMBIA",
                    "address": "",
                    "city": "",
                    "state": "MO",
                    "zip": "",
                    "country": "United States",
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                "abstract": "The objective of the parent G20 grant is to provide state of the art, highly safe and secure  biocontainment facilities and services to faculty, student and staff researchers at the MU Laboratory for  Infectious Diseases, one of 12 NIH/NIAID Regional Biocontainment Laboratories. The LIDR/MURBL is  currently host to more than 60 researchers. Our research community is successful in grant funding with 14  Principal Investigators currently active in federally and privately funded grants/contracts. The current ABSL3  facility supports aerosol challenge of rodents, but larger animal challenges cannot occur due to a lack of  appropriate containment housing. The goal of this G20 supplement project is to expand the capabilities of  the MURBL to serve the biodefense and emerging infectious disease research for the region. Towards this  objective, we propose to renovate the east suite of the ABSL3, including the installation of a specialized  ante room and effluent decontamination system, to allow for the housing of large animals in biocontainment.  These upgrades would serve the immediate needs of MU faculty of the RBL who are conducting  translational research on SARS-CoV-2, influenza virus, and hepatitis B virus.  Aim 1: Add open caging capabilities to the ABSL3 at LIDR for housing swine and other large animals following challenge with respiratory viruses that are pathogenic to humans. We propose to build open  caging capacity in the ABSL3 at LIDR for housing up to 10 pigs or other large animals that have been  experimentally infected with various human pathogens. The request includes funds for remodeling in the  anteroom as well as the animal holding room/building effluent system to permit effluent decontamination, and  necessary HVAC upgrades.  Aim 2: Purchase and install equipment for whole animal imaging following infection. We propose to add  capabilities for whole animal imaging, which will allow for reduction of research animals used at LIDR.",
                "keywords": [
                    "2019-nCoV",
                    "Aerosols",
                    "Animal Experimentation",
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                    "Communities",
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                    "whole animal imaging"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10961",
            "attributes": {
                "award_id": "5K23HL161353-02",
                "title": "Hospital adaptation and resiliency for infected and uninfected patients during respiratory viral surge events: from seasonal influenza to COVID-19",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
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                "funder_divisions": [
                    "National Heart Lung and Blood Institute (NHLBI)"
                ],
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                    {
                        "id": 20693,
                        "first_name": "Roya",
                        "last_name": "Kalantari",
                        "orcid": null,
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                ],
                "start_date": "2021-12-15",
                "end_date": "2026-11-30",
                "award_amount": 164313,
                "principal_investigator": {
                    "id": 22283,
                    "first_name": "George L",
                    "last_name": "Anesi",
                    "orcid": null,
                    "emails": "",
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                    "approved": true,
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                        {
                            "id": 232,
                            "ror": "https://ror.org/00b30xv10",
                            "name": "University of Pennsylvania",
                            "address": "",
                            "city": "",
                            "state": "PA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
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                },
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                "awardee_organization": {
                    "id": 232,
                    "ror": "https://ror.org/00b30xv10",
                    "name": "University of Pennsylvania",
                    "address": "",
                    "city": "",
                    "state": "PA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "/ Abstract My long-term career goal is to become a leading independent investigator developing and evaluating surveillance, preparedness, and operations response strategies to combat the public health burdens from respiratory viral surge events. Respiratory viral surge events, in which hospitals face capacity strain from an influx of infected patients, range from annual respiratory viral seasons dominated by seasonal influenza to rarer and more severe epidemics such as due to novel influenzas (e.g., H1N1) and coronaviruses (e.g., COVID-19, SARS, MERS). Optimizing outcomes for both infected patients and uninfected patients admitted during viral surges (i.e., “bystander patients”), requires that hospitals display: (1) adaptation—the ability to improve care and outcomes for infected patients by implementing new care processes based on accumulated experience, and (2) resiliency—the ability to continue to deliver high quality care to uninfected patients despite the presence of a surge event. However, it is unknown what enables hospitals to display adaptation and resiliency, thereby threatening care quality for all patients during viral surges. I am an Instructor of Medicine in the Division of Pulmonary, Allergy, and Critical Care at the University of Pennsylvania Perelman School of Medicine. My preparations for this career path include masters degrees in clinical epidemiology and biomedical ethics, mentored research training resulting in high-impact first-author publications serving as preliminary data, national invited talks at universities and academic conferences, and clinical work as a pulmonologist and medical intensivist at a major academic referral center. This grant application seeks to combine my and my mentorship team’s experience in defining and studying healthcare capacity strain with purposefully selected career development activities to achieve my complementary training and research goals including methodologic training in advanced statistical modeling, qualitative research methods, implementation science, and cost-effectiveness analysis. The specific aims of this grant are to: (1) Quantify adaptation by determining how hospitals’ cumulative seasonal experiences with influenza affect processes of care and clinical outcomes among high acuity patients with influenza. (2) Measure resiliency by determining how hospitals’ daily capacity strain and cumulative experience during respiratory viral surges affect processes of care and clinical outcomes among bystander patients (i.e., without infection) at risk for acute respiratory failure. (3) Identify organizational characteristics that may influence how hospitals achieve, or struggle to achieve, adaptation and resiliency in the face of a respiratory viral surge event. At the end of the proposed K23 award, I expect to understand how care delivery and outcomes change over the course of a respiratory viral surge event and what organizational factors may account for observed differences in hospital adaptation and resiliency. These findings will have substantial positive impact by facilitating testing organizational interventions to improve hospital adaptation and resiliency, which will be the focus of my initial R01 applications at the conclusion of the K23 award.",
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                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10937",
            "attributes": {
                "award_id": "5R21GM142011-03",
                "title": "Novel organic-ion-based technology for long-term virus preservation at ambient temperature",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
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                "funder_divisions": [
                    "National Institute of General Medical Sciences (NIGMS)"
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                    {
                        "id": 22244,
                        "first_name": "MICHAEL",
                        "last_name": "SAKALIAN",
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                ],
                "start_date": "2022-01-01",
                "end_date": "2023-12-31",
                "award_amount": 142851,
                "principal_investigator": {
                    "id": 23638,
                    "first_name": "Scott F",
                    "last_name": "Michael",
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                            "id": 1267,
                            "ror": "https://ror.org/05tc5bm31",
                            "name": "Florida Gulf Coast University",
                            "address": "",
                            "city": "",
                            "state": "FL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
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                },
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                        "id": 23639,
                        "first_name": "Arsalan",
                        "last_name": "Mirjafari",
                        "orcid": null,
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                        "keywords": null,
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                    }
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                    "ror": "",
                    "name": "COLLEGE AT OSWEGO",
                    "address": "",
                    "city": "",
                    "state": "NY",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "PROJECT SUMMERY Most currently available vaccines, especially live and mRNA-based COVID-19 vaccines, are temperature sensi- tive and require stringent cold-chain maintenance, entailing their storage and distribution at recommended tem- peratures from production to administration. This necessity imposes the most prohibitive barrier to global im- munization programs, particularly in developing countries, accounting for up to 80% of the cost delivery. Thus, there is a critical need for a technology to provide cost-effective and long-term ambient temperature storage for viral samples without requiring cold chain or complicated sample recovery protocols.  This proposal aims to develop an organic-ion platform for long-term storage of viruses at ambient tem- perature to potentially reduce costs in the face of growing needs for new vaccines and avoid labor-intensive maintenance associated with current biobanking technology. Ionic liquids (ILs)  organic salts comprised entirely of ions  offer a well-suited platform on which the properties can be altered by the selection of ions, enabling the tunable design of solvents/media for virus stabilization. We hypothesize that the solutions of proposed ILs with ca. 20 wt% water may prevent hydrolytic and enzymatic degradation of viral genomes and protein capsids, providing a reliable approach to preserve viruses. We will use a bacteriophage from the myovirus family as an example of a naked protein particle and dengue virus as an example of a lipid-enveloped particle. First, we will develop a thoughtfully conceived library of novel ILs through systematic variations of heterocyclic cations and kosmotropic anions, and judicious incorporation of two functionalities (NH3+ and SO2F) into the IL structures. Structural variability will be achieved by pairing new genre of biocompatible cations and anions. Second, we will examine their effectiveness for stabilizing viruses by evaluating their structural integrity, thermostability, and shelf-life from six months and four year. We will monitor changes in viral secondary structure, thermal denatur- ation, and particle morphology. Last, we will study their empirical structure-activity relationships to gain compre- hensive understanding of binding characteristics and molecular mechanisms of interactions between the viral particles and the targeted aqueous ionic solvents via simulation, crystallographic, and spectroscopic methods.  This project will provide a viable solution for ambient temperature preservation of viruses for extended periods (potentially for decades) by developing the virusILwater matrices that are stable towards hydrolytic and enzymatic degradation. Another important feature of the proposed approach is that these nucleic acid-ILs solutions can be directly amplified by PCR without being subjected to prior extraction, purification or quantifica- tion. This approach has the merit of simplicity, which makes the process of ambient temperature storage and distribution profoundly efficient, increases the stability of biosamples for prolonged time, reduces operational costs and carbon footprint, and improves logistics for viruses and virus-based technologies. Summery",
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                    "Accounting",
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                    "vaccine distribution",
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                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "11049",
            "attributes": {
                "award_id": "3U24TR001608-07S1",
                "title": "ACTIV-6",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Center for Advancing Translational Sciences (NCATS)"
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                    {
                        "id": 23494,
                        "first_name": "Sarah",
                        "last_name": "Dunsmore",
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                        "approved": true,
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                    }
                ],
                "start_date": "2022-09-26",
                "end_date": "2023-06-30",
                "award_amount": 20600000,
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                    "id": 21094,
                    "first_name": "DANIEL K.",
                    "last_name": "BENJAMIN",
                    "orcid": null,
                    "emails": "",
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                        {
                            "id": 246,
                            "ror": "https://ror.org/00py81415",
                            "name": "Duke University",
                            "address": "",
                            "city": "",
                            "state": "NC",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
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                },
                "other_investigators": [
                    {
                        "id": 23026,
                        "first_name": "Susanna",
                        "last_name": "Naggie",
                        "orcid": null,
                        "emails": "",
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                        "keywords": null,
                        "approved": true,
                        "websites": null,
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                    },
                    {
                        "id": 24010,
                        "first_name": "Adrian",
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                        "orcid": null,
                        "emails": "",
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                        "approved": true,
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                    "id": 246,
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                    "name": "Duke University",
                    "address": "",
                    "city": "",
                    "state": "NC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel betacoronavirus that first emerged in December 2019 and has since caused a global pandemic unseen in almost a century with respect to the number of cases and overall mortality. Over 2020, advances were made for treatment of COVID-19 and several vaccinations have received emergency use authorization for prevention of SARS-CoV-2 infections. However, the pandemic continues to evolve with new variants and surges of infections in different regions of the world, requiring an ongoing evidence-generating platform, in particular for the oral treatment of COVID-19 infection in the outpatient setting. To address this unmet need the Duke Clinical Research Institute, Vanderbilt University Medical Center and partners are coming together to coordinate ACTIV-6 as a platform with a master clinical trial protocol that can serve as an evidence generating system for prioritized drugs repurposed from other indications with an established safety record and preliminary evidence of clinical efficacy for the treatment of COVID-19.",
                "keywords": [
                    "Address",
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                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "11041",
            "attributes": {
                "award_id": "1R01DC020841-01",
                "title": "Olfactory mucosa repair and defense: neuro-immune mechanisms and therapy",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute on Deafness and Other Communication Disorders (NIDCD)"
                ],
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                "program_officials": [
                    {
                        "id": 6520,
                        "first_name": "SUSAN L.",
                        "last_name": "SULLIVAN",
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                        "approved": true,
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                    }
                ],
                "start_date": "2023-02-01",
                "end_date": "2028-01-31",
                "award_amount": 670166,
                "principal_investigator": {
                    "id": 22972,
                    "first_name": "ANDREW P",
                    "last_name": "LANE",
                    "orcid": null,
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                    "affiliations": [
                        {
                            "id": 344,
                            "ror": "https://ror.org/00za53h95",
                            "name": "Johns Hopkins University",
                            "address": "",
                            "city": "",
                            "state": "MD",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
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                "awardee_organization": {
                    "id": 344,
                    "ror": "https://ror.org/00za53h95",
                    "name": "Johns Hopkins University",
                    "address": "",
                    "city": "",
                    "state": "MD",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Project summary: The olfactory epithelium is situated in the nasal passages at the interface with the environment – a location that makes it vulnerable to damage by both infectious and non-microbial threats. While the innate immune defenses of the respiratory epithelium are increasingly well understood, the immune mechanisms protecting the delicate olfactory neuroepithelium have not been fully elucidated. Inflammation of the olfactory epithelium can result in the loss of the sense of smell, which is a debilitating health problem in the United States significantly impacting the quality of life of affected individuals. The current COVID-19 pandemic has highlighted how viral infection and the local immune response of the olfactory epithelium can impair sense of smell function, although the mechanism is unknown. We hypothesize that the lining cells of the olfactory epithelium, called sustentacular cells, play a critical role protecting the underlying neurons by maintaining a strong physical barrier and providing a supporting framework. Once damaged, olfactory tissue has a remarkable and unique neuroregenerative capacity, allowing rapid repair by creation of new neurons. The signals that drive and regulate regeneration by olfactory progenitor cells are unclear. Our preliminary studies in mice reveal that regulated inflammation is important to initiating normal repair after olfactory injury. We also have found that olfactory stem cells deep in the mucosa are capable of communicating with immune cells to mediate inflammation. In this way, we propose that olfactory stem cells provide innate immune protection to the epithelium. We hypothesize that injury to the surface barrier exposes olfactory stem cells to stimuli that drive inflammation and replacement of apical cells. The overall goal of this proposal is to explore neuroepithelial-immune interactions in the olfactory epithelium. In aim 1, we will investigate the innate immune activity of olfactory stem cells and demonstrate whether inflammatory cells and their chemical signals modulate basal cell function. In aim 2, we will explore the role of stem cells in modulating the immune response and in fighting infection. Finally, in aim 3, we will study the immune response of sustentacular cells and olfactory stem cells to inflammatory signals related to two common causes of loss of the sense of smell: nasal polyps and infection with SARS-CoV-2. These studies will significantly advance current knowledge about the olfactory system and create an opportunity to develop innovative therapies for important health conditions impacting the sense of smell.",
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                    "Bipolar Neuron",
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                    "Cell Proliferation",
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                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "10993",
            "attributes": {
                "award_id": "5U54TW012041-02",
                "title": "Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)",
                    "NIH Office of the Director",
                    "Fogarty International Center (FIC)"
                ],
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                    {
                        "id": 21055,
                        "first_name": "Brad",
                        "last_name": "Newsome",
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                    }
                ],
                "start_date": "2021-09-15",
                "end_date": "2026-06-30",
                "award_amount": 1300000,
                "principal_investigator": {
                    "id": 22793,
                    "first_name": "Alash'le G.",
                    "last_name": "Abimiku",
                    "orcid": null,
                    "emails": "[email protected]",
                    "private_emails": null,
                    "keywords": "[]",
                    "approved": true,
                    "websites": "[]",
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                    "affiliations": [
                        {
                            "id": 1539,
                            "ror": "https://ror.org/02e66xy22",
                            "name": "Institute of Human Virology",
                            "address": "",
                            "city": "",
                            "state": "",
                            "zip": "",
                            "country": "NIGERIA",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 4048,
                        "first_name": "Chenfeng",
                        "last_name": "Xiong",
                        "orcid": null,
                        "emails": "",
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                        "keywords": null,
                        "approved": true,
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                    },
                    {
                        "id": 22794,
                        "first_name": "Manhattan E",
                        "last_name": "Charurat",
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                        "emails": "",
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                    },
                    {
                        "id": 22795,
                        "first_name": "Tulio de Paiva Nazareth Andrade",
                        "last_name": "De Oliveira",
                        "orcid": null,
                        "emails": "",
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                        "keywords": null,
                        "approved": true,
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                    },
                    {
                        "id": 22796,
                        "first_name": "Vivek",
                        "last_name": "Naranbhai",
                        "orcid": null,
                        "emails": "",
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                        "keywords": null,
                        "approved": true,
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                    }
                ],
                "awardee_organization": {
                    "id": 1539,
                    "ror": "https://ror.org/02e66xy22",
                    "name": "Institute of Human Virology",
                    "address": "",
                    "city": "",
                    "state": "",
                    "zip": "",
                    "country": "NIGERIA",
                    "approved": true
                },
                "abstract": "A key problem in Africa is the paucity of population-scale epidemiologic data sources and analytical capacity to rapidly identify and understand infectious disease pandemics. Yet, in the context of fragile health systems and limited resources, the need for population-scale epidemiologic data is even more urgent to provide information on transmission dynamics and inform interventions. The overall goal of the ‘Role of Data streams In Informing infection dynamics in Africa (INFORM Africa) Hub’ is to effectively use big data to address pressing public health needs of SARS CoV-2 and HIV pandemics with the overall goal of developing population-scale data streams as a cornerstone of future pandemic preparedness. INFORM Africa proposes to use existing data from Nigeria and South Africa, the two most impacted countries in Africa accounting for 41% of the continent’s SARS-CoV-2 infection and about 40% of its HIV burden. The Hub is led by two well-established and successful non-governmental organizations: Institute of Human Virology Nigeria (IHVN) and the and the Centre for the AIDS Programme Of Research In South Africa (CAPRISA) with strong links with Universities and their respective government agencies, also engaged. INFORM Africa also partners with a private partner from the industry – Akros Zambia. INFORM Africa has assembled experienced researchers with complimentary expertise in big data analytics, quantum information processing, spatial statistics and analysis, genetics, computational biology, agent-based and data driven modelling, clinical infectious diseases, infectious disease epidemiology, molecular virology, and geospatial analytics to address the goal of this submission through four Specific Aims. AIM 1 establishes data streams from public and private sectors in order to understand the multilayer interactions that may explain the dynamics and impact of COVID- 19 pandemic, through three proposed Research Projects and two proposed Cores, supplemented by the pilot projects. AIM 2 develops geospatial tools for use by country leadership and governments in pandemic surveillance and response to improve preparedness. AIM 3 expands data science research opportunities and capacity through the engagement with the broader DS-I Africa consortium and through several proposed pilot projects in data science. AIM 4 maintains a sustained engagement with the policy makers and governments in order to promote further open access to high quality data and the redistribution and uptake of any product/tool developed by the INFORM Africa. The DMAC & NGS Core is the lynchpin of INFORM Africa, assembling and managing the Research Hub’s data and providing seamless access to a set of tools and workflows that link the Hub to the broader DS-I Africa Open Science Data Platform and coordinating center. The Administrative Core harmonizes and streamlines administrative, financial, and communication processes for INFORM Africa, and coordinates the selection of pilot projects consistent with INFORM Africa’s aims, and in compliance with DS-I Africa requirements. Project and Core leads make up the MPD/PI leadership and the Steering Committee of the INFORM Africa supported by a Scientific Advisory Board.",
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        },
        {
            "type": "Grant",
            "id": "10985",
            "attributes": {
                "award_id": "5R01AI165433-02",
                "title": "A deep learning and experiment integrated platform for stable mRNA vaccines development",
                "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)"
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                    {
                        "id": 6125,
                        "first_name": "Timothy A.",
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                ],
                "start_date": "2021-11-22",
                "end_date": "2026-10-31",
                "award_amount": 360295,
                "principal_investigator": {
                    "id": 24806,
                    "first_name": "qing",
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                        {
                            "id": 1783,
                            "ror": "",
                            "name": "TEXAS ENGINEERING EXPERIMENT STATION",
                            "address": "",
                            "city": "",
                            "state": "TX",
                            "zip": "",
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                            "approved": true
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                    "id": 1783,
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                    "name": "TEXAS ENGINEERING EXPERIMENT STATION",
                    "address": "",
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                "abstract": "Among all approaches, messenger RNA (mRNA)-based vaccines have emerged as a rapid and versatile candidate to quickly respond to virus pandemics, including coronavirus disease 2019 (COVID-19). But mRNA vaccines face key potential limitations. Researchers have observed that RNA molecules tend to spontaneously degrade, which is a serious limitation - a single cut in the mRNA backbone can nullify the mRNA vaccine. Currently, little is known on the details of where in the backbone of a given RNA is most prone to degradation and design of super stable messenger RNA molecules is an urgent challenge. Without this knowledge, mRNA vaccines against COVID-19 will require stringent conditions for preparation, storage, and transport. A promising potential solution is deep learning, a general class of data-driven modeling approach, which has proved dominant in many fields including computer vision, natural language processing, protein folding, and nucleic acid feature prediction tasks. In this proposal, Dr. Qing Sun aims to combine deep learning and experiments to predict mRNA vaccines that are stable at room temperature. By adapting two deep learning techniques including self-attention and convolutions, she will create interpretable end to end models to predict COVID-19 vaccine secondary structures directly from sequence information and in the end, she will use a synthetic approach that rapidly generates mRNA vaccine to validate and further improve their deep learning model. Specifically, the research objectives of this proposal are: 1) to develop the deep learning model using self-attention and convolution, which capture long-range dependencies, to predict RNA secondary structures and to train the model using existing RNA secondary structure dataset with high accuracy and efficiency; 2) to employ transfer learning for mRNA vaccine stability predictions; and 3) to validate and further improve the model performance using experimental demand-based mRNA production system. She will produce hundreds of mRNA vaccines sequences and test their stabilities in the lab to serve as dataset to validate and retrain their model. This project will serve as a framework for other mRNA vaccine processing for rapid response to pandemics. The secondary structure prediction knowledge from this proposal will also help characterize natural mRNA and synthetic mRNA for natural science and engineering purposes.",
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            "type": "Grant",
            "id": "11033",
            "attributes": {
                "award_id": "1R01HL163604-01A1",
                "title": "Genetic and Immuno-inflammatory Drivers of Post-acute Pulmonary Sequelae of SARS-CoV-2",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
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                "funder_divisions": [
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                        "id": 26216,
                        "first_name": "Lisa",
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                "start_date": "2023-02-05",
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                "award_amount": 853827,
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                    "id": 27003,
                    "first_name": "Steven B",
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                    "name": "NEW YORK UNIVERSITY SCHOOL OF MEDICINE",
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                "abstract": "The goal of this proposal will be to study the frequency, chronicity and etiology of post-acute sequelae of SARS CoV-2 with protocols designed to characterize genetic and immuno-inflammatory factors that influence post- COVID complications. We will establish a cohort of 1200 or more deeply phenotyped SARS CoV-2 patients in order to determine the long-term effects of COVID-19 infection in distinct PASC cohorts. Patients will be categorized by the presence or absence of pulmonary symptoms. We will focus on changes in pulmonary lung function (DLCO and FVC, TLC) and 6-minute walk test (6MWT) distance at 3, 6, and 12 months and bi- annually thereafter for 5 years. To assess for progressive pulmonary fibrosis we will include x-rays and computerized tomography (CT) of the lung. To explore pathogenic mechanisms we will: 1) determine whether specific cytokine levels associate with the severity or progression of PASC-associated disease; and, 2) determine whether there is a characteristic autoantibody profile, including anti-cytokine antibodies, in PASC patients; 3) perform Global Diversity Array (GDA) chip analysis on 1200 patients to develop an unbiased genetic risk score for PASC; 4) determine whether specific genotypes: a) influence the severity or chronicity of PASC, including the development of Idiopathic Pulmonary Fibrosis or b) contribute to the sustained immunological responses in PASC patients. Finally, we will determine whether there is a genetic association with PASC syndromes that varies across self-identified race/ethnicity (SIRE). Taken together, these novel studies are intended to better understand pathogenetic mechanisms of disease, which can lead to the identification of therapeutic targets and strategies for patients with post-acute sequelae.",
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