Represents Grant table in the DB

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            "type": "Grant",
            "id": "8448",
            "attributes": {
                "award_id": "1U01DD001293-01",
                "title": "Component A: North Carolina - Advancing Developmental Research using SEED and SEED Follow-up data",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [],
                "start_date": "2021-07-01",
                "end_date": "2026-06-30",
                "award_amount": 581307,
                "principal_investigator": {
                    "id": 24212,
                    "first_name": "Julie L",
                    "last_name": "Daniels",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 817,
                            "ror": "",
                            "name": "UNIV OF NORTH CAROLINA CHAPEL HILL",
                            "address": "",
                            "city": "",
                            "state": "NC",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 817,
                    "ror": "",
                    "name": "UNIV OF NORTH CAROLINA CHAPEL HILL",
                    "address": "",
                    "city": "",
                    "state": "NC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "- SEED Follow-up Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that impacts approximately 1.5% of children in the United States. Individuals with ASD experience deficits in social communication or restricted interests and repetitive behavior; but the severity and patterns vary greatly and convey lifelong impairment for some. It is unclear how the presentation of ASD changes from early childhood into adolescence or adulthood. The causes of ASD are also unknown, though substantial evidence supports the contribution of both genes and environmental factors. These gaps in knowledge exist because US studies to date have lacked the sample size, depth of data collection, or appropriate life course timing to address these questions. The Study to Explore Early Development (SEED) is now able to address these prior limitations. SEED is a large case- control study of children ages 2-5 years and their families, implemented across eight states over three phases. SEED collected detailed data on children’s core ASD symptoms, cognitive status, and presence of co- occurring conditions in early childhood, along with extensive risk factors related to maternal health and the perinatal environment as well as genomics. The SEED sample includes 2044 children with ASD, 1950 children with non-ASD developmental disabilities (DD), and 2285 population control children (POP), making this the largest etiologic study of ASD in the US. Recent ancillary studies - the SEED Teen Pilot and SEED COVID studies -- will soon add data on adolescent health and the consequences of the pandemic, respectively, for some SEED participants. The work proposed here, SEED Follow-up Studies (SEED FU), will maximize the impact of extant SEED data through analyses that characterize ASD phenotypes and assess the potential interplay between genetic and modifiable risk factors. SEED FU will also facilitate new data collection in middle childhood, adolescence and early adulthood to characterize changes in ASD phenotype across developmental stages, and the associated health, educational, and service needs across the early life course. These data will further enable prospective analyses of associations between early life factors and later childhood through early adulthood outcomes. Studying risk factors in relation to life course phenotypic subgroups may also help elucidate etiologies previously masked in ASD case-control studies. The NC SEED Team in combination with the SEED Network’s collaborative infrastructure and extensive extant data resources, will ensure the successful implementation of the SEED FU Study in North Carolina and contribute to success across the network. SEED is well-powered for making significant contributions to our understanding of the complex autism phenotype and identifying factors associated with ASD risk in the population. The knowledge gained by SEED FU will greatly advance our ability prevent adverse developmental outcomes and to support individuals with ASD and their families to ensure optimal wellbeing through early adulthood.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "2304",
            "attributes": {
                "award_id": "2025954",
                "title": "LTER: Coastal Oligotrophic Ecosystem Research",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Biological Sciences (BIO)",
                    "LONG TERM ECOLOGICAL RESEARCH"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 6330,
                        "first_name": "Paco",
                        "last_name": "Moore",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-03-01",
                "end_date": "2025-02-28",
                "award_amount": 4750800,
                "principal_investigator": {
                    "id": 6335,
                    "first_name": "John",
                    "last_name": "Kominoski",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 207,
                            "ror": "https://ror.org/02gz6gg07",
                            "name": "Florida International University",
                            "address": "",
                            "city": "",
                            "state": "FL",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 6331,
                        "first_name": "James",
                        "last_name": "Fourqurean",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 6332,
                        "first_name": "Evelyn E",
                        "last_name": "Gaiser",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 6333,
                        "first_name": "Jennifer S",
                        "last_name": "Rehage",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 6334,
                        "first_name": "Kevin",
                        "last_name": "Grove",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 207,
                    "ror": "https://ror.org/02gz6gg07",
                    "name": "Florida International University",
                    "address": "",
                    "city": "",
                    "state": "FL",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Coastal ecosystems like the Florida Everglades provide many benefits and services to society including protection from storms, habitat and food for important fisheries, support of tourism and local economies, filtration of fresh water, and burial and storage of carbon that offsets greenhouse gas emissions. The Florida Coastal Everglades Long Term Ecological Research (FCE LTER) program addresses how and why coastal ecosystems and their services are changing. Like many coastal ecosystems, the Florida Everglades has been threatened by diversion of fresh water to support urban and agricultural expansion. At the same time, sea-level rise has caused saltwater intrusion of coastal ecosystems which stresses freshwater species, causes elevation loss, and contaminates municipal water resources. However, restoration of seasonal pulses of fresh water may counteract these threats. Researchers in the FCE LTER are continuing long-term studies and experiments to understand how changes in freshwater supply, sea-level rise, and disturbances like tropical storms interact to influence ecosystems and their services. The science team is guided by a diversity and inclusion plan to attract diverse scientists at all career stages. The team includes resource managers – who use discoveries and knowledge from the FCE LTER to guide effective freshwater restoration – and an active community of academic and agency scientists, teachers and other educators, graduate, undergraduate, and high school students. The project has a robust education and outreach program that engages the research team with the general public to advance science discoveries and protection of coastal ecosystems.\n\nThe FCE LTER research program addresses how increased pulses of fresh and marine water will influence coastal ecosystem dynamics through: (i) continued long-term assessment of changes in biogeochemistry, primary production, organic matter, and trophic dynamics in ecosystems along freshwater-to-marine gradients with a focus on how these affect accumulation of carbon and related elevation change, (ii) meteorological studies that evaluate how the climate drivers of hydrologic presses and pulses are changing, (iii) social-ecological studies of how governance of freshwater restoration reflects the changing values of ecosystem services, and (iv) use of high-resolution remote sensing, coupled with models to forecast landscape-scale changes. A new experimental manipulation will determine drivers and mechanisms of resilience to saltwater intrusion. Data syntheses integrate month-to-annual and inter-annual data into models of water, nutrients, carbon, and species patterns and interactions throughout the Everglades landscape to compare how ecosystems with different productivities and carbon stores respond (maintain, increase, or decline) to short- (pulses) and long-term changes (presses) in hydrologic connectivity. Synthesis efforts will use data from national and international research networks aimed at understanding how chronic presses and increasing pulses determine ecosystem trajectories, addressing one of the most pressing challenges in contemporary ecology.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "9472",
            "attributes": {
                "award_id": "6U48DP006382-02M002",
                "title": "Connecting Behavioral Science to COVID-19 Vaccine Demand (CBS-CVD) Network Supplement for PRC - Increasing Effective Mental Health Care for LGBT Clients",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [],
                "program_reference_codes": [],
                "program_officials": [],
                "start_date": "2019-09-30",
                "end_date": "2024-09-29",
                "award_amount": 500000,
                "principal_investigator": {
                    "id": 25187,
                    "first_name": "BRADLEY O",
                    "last_name": "BOEKELOO",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1021,
                            "ror": "",
                            "name": "UNIV OF MARYLAND, COLLEGE PARK",
                            "address": "",
                            "city": "",
                            "state": "MD",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1021,
                    "ror": "",
                    "name": "UNIV OF MARYLAND, COLLEGE PARK",
                    "address": "",
                    "city": "",
                    "state": "MD",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": null,
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "9216",
            "attributes": {
                "award_id": "3R01EB027202-01A1S1",
                "title": "Directed evolution of polymerases that can read and write extremely long sequences",
                "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": [
                    {
                        "id": 24310,
                        "first_name": "David",
                        "last_name": "Rampulla",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2020-09-01",
                "end_date": "2022-08-31",
                "award_amount": 182969,
                "principal_investigator": {
                    "id": 4640,
                    "first_name": "Andrew D",
                    "last_name": "Ellington",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 156,
                            "ror": "",
                            "name": "University of Texas at Austin",
                            "address": "",
                            "city": "",
                            "state": "TX",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 972,
                    "ror": "",
                    "name": "UNIVERSITY OF TEXAS AT AUSTIN",
                    "address": "",
                    "city": "",
                    "state": "TX",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Supplemental Project Summary (derived from the original, changes underlined) Advances in synthetic biology have accelerated to the point where the synthesis of entire genomes is now possible. However, the technologies for these feats are painstaking, and the production of a new chromosome or genome requires multiple years of effort, working from small fragments to ever larger assemblies. The speed (and ultimately scale) of large fragment assembly would be greatly improved if it were possible to routinely amplify very long stretches of DNA (> 100 kb) in vitro. The methods developed in the execution of this proposal should also prove extremely useful for greatly improved reagents for molecular diagnostics for SARS-CoV-2. To that end, this proposal is focused on the further development of a novel directed evolution method known as Compartmentalized Self-Replication (CSR), in which polymerases expressed in cells in emulsions undergo thermal cycling to amplify their own genes, to generate long read DNA polymerases that should prove capable of generating PCR amplicons > 100 kb in length, with few errors. To achieve this goal, we propose to develop a novel library construction method that most efficiently brings together sequence and structural domains from a variety of DNA polymerase variants to form diverse chimeras (Aim 1.1), and to sieve these libraries using improvements to CSR that will allow us to select for extreme processivity in yeast (Aim 1.2) and efficient error- correction (Aim 1.3). Using the methods in Aim 1.2, we can produce polymerase variants that should be able to directly participate in RT-qPCR without sample preparation, including from samples inactivated with denaturants. The variants that result will be characterized for their ability to synthesize long amplicons in vitro (Aim 2.1), for their fidelity (Aim 2.2), and for their detailed kinetic properties (Aim 2.3). Finally, to better ensure the processivity of the resultant polymerase chimeras, we will append either DNA-binding domains (Aim 3.1) or clamps (Aim 3.2) that should lead to much better ability to grip DNA. Using the methods described in Aim 3.1, we can generate thermostable reverse transcriptases that should prove useful for the development of isothermal amplification assays that can be used at point-of-care, or in resource-poor settings. In addition to accelerating the ongoing revolution in genome synthesis, such long-read polymerases should also pave the way to new sequencing technologies, including for single molecule sequencing and for single cell sequencing. In the current crisis, polymerase engineering for particular functions, directed towards needs that the community has and that need to be resolved for forward motion on testing, is a critical component of a national plan.",
                "keywords": [
                    "2019-nCoV",
                    "Bacillus stearothermophilus",
                    "Biological Assay",
                    "Cells",
                    "Chimera organism",
                    "Chromosomes",
                    "Closure by clamp",
                    "Communities",
                    "Country",
                    "DNA",
                    "DNA Binding Domain",
                    "DNA Sequence",
                    "DNA amplification",
                    "DNA sequencing",
                    "DNA-Directed DNA Polymerase",
                    "Development",
                    "Directed Molecular Evolution",
                    "Emulsions",
                    "Engineering",
                    "Ensure",
                    "Enzymes",
                    "Genes",
                    "Genome",
                    "Goals",
                    "High temperature of physical object",
                    "In Vitro",
                    "Industry",
                    "Infrastructure",
                    "International",
                    "Introns",
                    "Kinetics",
                    "Lead",
                    "Length",
                    "Libraries",
                    "Medicine",
                    "Methods",
                    "Motion",
                    "Mutation",
                    "Organism",
                    "Patients",
                    "Performance",
                    "Polymerase",
                    "Preparation",
                    "Production",
                    "Promega",
                    "Property",
                    "Protein Engineering",
                    "RNA Splicing",
                    "RNA-Directed DNA Polymerase",
                    "Reagent",
                    "Research",
                    "Resources",
                    "Reverse Transcription",
                    "Saline",
                    "Sampling",
                    "Specificity",
                    "Speed",
                    "Stretching",
                    "Structure",
                    "System",
                    "Technology",
                    "Testing",
                    "Variant",
                    "Viral",
                    "Virus",
                    "Work",
                    "Writing",
                    "Yeasts",
                    "commercialization",
                    "grasp",
                    "high throughput screening",
                    "improved",
                    "molecular diagnostics",
                    "next generation",
                    "novel",
                    "novel sequencing technology",
                    "pandemic disease",
                    "point of care",
                    "sample collection",
                    "single cell sequencing",
                    "single molecule",
                    "synthetic biology",
                    "thermostability",
                    "tool",
                    "trizol",
                    "viral RNA",
                    "whole genome"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "3328",
            "attributes": {
                "award_id": "1811163",
                "title": "Advancing the Design of Visualizations for Informal Science Engagement",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Education and Human Resources (EHR)",
                    "AISL"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 10551,
                        "first_name": "Chia",
                        "last_name": "Shen",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2018-10-01",
                "end_date": "2019-12-31",
                "award_amount": 249677,
                "principal_investigator": {
                    "id": 10553,
                    "first_name": "Jennifer",
                    "last_name": "Frazier",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1082,
                            "ror": "https://ror.org/0037yf233",
                            "name": "Exploratorium",
                            "address": "",
                            "city": "",
                            "state": "CA",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 10552,
                        "first_name": "Joyce",
                        "last_name": "Ma",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 1082,
                    "ror": "https://ror.org/0037yf233",
                    "name": "Exploratorium",
                    "address": "",
                    "city": "",
                    "state": "CA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.  This project is a two-day conference, along with pre- and post-conference activities, with the goal of furthering the informal science learning field's review of the research and development that has been conducted on data visualizations that have been used to help the public better understand and become more engaged in science.  The project will address an urgent need in informal science education, providing a critical first step towards a synthesis of research and technology development in visualization and, thus, to inform and accelerate work in the field in this significant and rapidly changing domain.\n\nThe project will start with a Delphi study by the project evaluator prior to the conference to provide an Emerging Field Assessment on data visualization work to date. Then, a two-day conference at the Exploratorium in San Francisco and related activities will bring together AISL-funded PIs, computer scientists, cognitive scientists, designers, and technology developers to (a) synthesize work to date, (b) bring in relevant research from fields outside of informal learning, and (c) identify remaining knowledge gaps for further research and development. The project team will also develop a website with videos of all presentations, conference documentation, resources, and links to social media communities; and a post-conference publication mapping the state of the field, key findings, and promising technologies. \n\nThe initiative also has a goal to broaden participation, as the attendees will include a diverse cadre of professionals in the field who contribute to data visualization work.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "5888",
            "attributes": {
                "award_id": "3R01GM124280-04S1",
                "title": "Modeling ongoing SARS-CoV2 vaccination strategies in light of emerging data on immunity and viral evolution",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute of General Medical Sciences (NIGMS)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 20149,
                        "first_name": "Han",
                        "last_name": "Nguyen",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2018-06-01",
                "end_date": "2023-05-31",
                "award_amount": 173135,
                "principal_investigator": {
                    "id": 20150,
                    "first_name": "Benjamin A",
                    "last_name": "Lopman",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 265,
                    "ror": "https://ror.org/03czfpz43",
                    "name": "Emory University",
                    "address": "",
                    "city": "",
                    "state": "GA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "While SARS-CoV-2, the pathogen causing COVID-19, continues to spread, the rapid development and deployment of effective vaccines provide a means by which we can reduce its future impact. Initial vaccines have shown to be highly effective, however, the current emergence of new SARS-CoV-2 variants, together with indications that of waning immunity, means that continued repeat vaccinations are likely to be required. Here, we will build upon resources we have already developed from our ongoing project aimed at modeling potential norovirus vaccines and our previous work aimed at modeling the impact of vaccination for SARS-CoV-2 Our team has made contributions and investigated the relative population impacts of SARS-CoV-2 vaccines with different mechanisms of action; characterized patterns of virus evolution that have the potential to impact vaccine efficacy and escape; and, examined initial strategies for vaccine deployment with the aim of relaxing social distancing guidelines. We will leverage these data and modeling tools and build on this work to assess more fully the patterns of immune waning and virus evolution. We will then use these data and results and combine them with our existing SARS-CoV-2 vaccine simulation model to inform the building and the calibration of an extended model. This extended model will account for waning immunity to SARS-CoV-2 and its viral evolution. Our model will inform rapidly emerging scientific questions around continued SARS-CoV-2 vaccination and re-vaccination strategies, including both boosting and vaccine reformulation.",
                "keywords": [
                    "2019-nCoV",
                    "Antibodies",
                    "COVID-19",
                    "COVID-19 vaccination",
                    "COVID-19 vaccine",
                    "Calibration",
                    "Collection",
                    "Computer Simulation",
                    "Data",
                    "Development",
                    "Evolution",
                    "Future",
                    "Guidelines",
                    "Immune",
                    "Immunity",
                    "Incidence",
                    "Infection",
                    "Light",
                    "Modeling",
                    "Norovirus",
                    "Pattern",
                    "Population",
                    "Public Health",
                    "Publications",
                    "Recommendation",
                    "Resources",
                    "Role",
                    "SARS-CoV-2 immunity",
                    "SARS-CoV-2 infection",
                    "SARS-CoV-2 variant",
                    "Serology",
                    "Social Distance",
                    "Statistical Models",
                    "Vaccination",
                    "Vaccines",
                    "Viral",
                    "Virus",
                    "Work",
                    "models and simulation",
                    "pathogen",
                    "tool",
                    "vaccination strategy",
                    "vaccine distribution",
                    "vaccine efficacy",
                    "vaccine-induced immunity"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "8192",
            "attributes": {
                "award_id": "5R01AG071649-02",
                "title": "The economic and social impact of COVID-19 mitigation policies: A cross-country analysis of macro events",
                "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": 8410,
                        "first_name": "MINKI",
                        "last_name": "CHATTERJI",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-04-15",
                "end_date": "2026-01-31",
                "award_amount": 839609,
                "principal_investigator": {
                    "id": 24033,
                    "first_name": "Dean R",
                    "last_name": "Lillard",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 778,
                            "ror": "",
                            "name": "OHIO STATE UNIVERSITY",
                            "address": "",
                            "city": "",
                            "state": "OH",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 778,
                    "ror": "",
                    "name": "OHIO STATE UNIVERSITY",
                    "address": "",
                    "city": "",
                    "state": "OH",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The project, \"The economic and social impact of COVID-19 mitigation policies: A cross- country analysis of macro events,\" will explore the economic and social effects the mitigation policies and information environment that COVID-19 spawned. We will link those policies to data from ongoing household-based panel studies from 10 countries and rich administrative data from an eleventh. We will exploit the substantial intra and inter-country temporal and geographic variation in non-pharmacological intervention policies induced by the COVID-19 disease. That variation, coupled with pre-COVID baseline levels or long-running trends in the outcomes we will study, will identify the effects of the mitigation policies.",
                "keywords": [
                    "2019-nCoV",
                    "Behavior",
                    "COVID-19",
                    "Case Fatality Rates",
                    "Cessation of life",
                    "Characteristics",
                    "China",
                    "Code",
                    "Communities",
                    "Coronavirus",
                    "Country",
                    "Coupled",
                    "Data",
                    "Demography",
                    "Diagnosis",
                    "Disease",
                    "Economics",
                    "Elderly",
                    "Employment",
                    "Environment",
                    "Event",
                    "Family member",
                    "Federal Government",
                    "Government",
                    "Herd Immunity",
                    "Heterogeneity",
                    "Hospitalization",
                    "Household",
                    "Human",
                    "Income",
                    "Individual",
                    "Industry",
                    "Intervention",
                    "Italy",
                    "Life",
                    "Link",
                    "Local Government",
                    "Medical",
                    "Modeling",
                    "Nature",
                    "Occupations",
                    "Outcome",
                    "Pattern",
                    "Personal Satisfaction",
                    "Persons",
                    "Policies",
                    "Population",
                    "Protocols documentation",
                    "Records",
                    "Research",
                    "Research Personnel",
                    "Resource Sharing",
                    "Respondent",
                    "Running",
                    "SARS coronavirus",
                    "SARS-CoV-2 infection",
                    "Sampling",
                    "Scientist",
                    "Severe Acute Respiratory Syndrome",
                    "Shock",
                    "Social Impacts",
                    "Sociology",
                    "Surveys",
                    "System",
                    "Time",
                    "Uncertainty",
                    "Update",
                    "Variant",
                    "base",
                    "coronavirus disease",
                    "discount",
                    "economic impact",
                    "epidemiological model",
                    "experience",
                    "geographic difference",
                    "member",
                    "mortality",
                    "outreach",
                    "pandemic disease",
                    "risk perception",
                    "satisfaction",
                    "social",
                    "symposium",
                    "transmission process",
                    "trend"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "4096",
            "attributes": {
                "award_id": "1607069",
                "title": "2016 Cellular & Molecular Fungal Biology GRC, Plymouth, New Hampshire, June 19-24, 2016",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Biological Sciences (BIO)",
                    "Symbiosis Infection & Immunity"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 13758,
                        "first_name": "Michael",
                        "last_name": "Mishkind",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2016-07-01",
                "end_date": "2017-06-30",
                "award_amount": 15000,
                "principal_investigator": {
                    "id": 13759,
                    "first_name": "Amy",
                    "last_name": "Gladfelter",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 226,
                            "ror": "https://ror.org/05rad4t93",
                            "name": "Gordon Research Conferences",
                            "address": "",
                            "city": "",
                            "state": "RI",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 226,
                    "ror": "https://ror.org/05rad4t93",
                    "name": "Gordon Research Conferences",
                    "address": "",
                    "city": "",
                    "state": "RI",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This project will facilitate the attendance and participation of early career scientists in the Gordon Research Conference on Cellular and Molecular Fungal Biology to be held at the Holderness School, June 19-24, 2016. The goal of the conference is to disseminate information about fungal biology among an interdisciplinary group of researchers, and to increase our collective understanding of basic fungal biology and its application to socially important problems.  Fungi are essential parts of the terrestrial nutrient cycle, play a central role in the development of biofuels, and produce many critically important chemicals.  These diverse applications of fungi require the interdisciplinary acquisition and application of fundamental fungal biology.  This project will support the convergence and exchange of new findings amongst an interdisciplinary group of scientists dedicated to the study of fungi.  \n\nThe intellectual merit of the project is rooted in the meeting's highly interdisciplinary and interactive format. The meeting will feature topics that integrate multiple time and space scales for different questions in fungal biology to promote interactions amongst researchers with diverse perspectives within the community. There is a specific emphasis on integrating mathematical modeling and biophysics as a new addition to this meeting and an entire session is dedicated to the interface of fungal biology with the physical sciences. The meeting enables cross-fertilization of ideas, from cell biology to evolution, that occurs in and outside of the sessions and especially between junior and senior scientists.  Young investigators emphasize from previous meetings how interactive the conference is and how responsive it is to the presentation of their work.\n\nThis conference has broad impacts on training and is dedicated to extending the research community by emphasizing women and members of underrepresented groups in inviting speakers. The current invited speakers are approximately 50% women, including several Latinas.  The small size of the meeting and the emphasis on discussion (40% of meeting time is dedicated to discussions) encourages active participation. Poster sessions are featured without competing events to focus attention on the most junior scientists, who often have the newest data. The GRC on Cell and Molecular Fungal Biology also is dedicated to research that applies basic knowledge to socially important questions involving filamentous fungi, particularly mutualisms with plants (mycorrhizae), parasitism with plants (plant pathology) and animals (animal pathology), and industrial mycology (enzyme production). The interactions among researchers focused on both basic and socially important research speeds research aimed at solving societal problems caused by or that can be improved by fungi.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "7680",
            "attributes": {
                "award_id": "5R01AI132178-04",
                "title": "Broad-spectrum antiviral GS-5734 to treat MERS-CoV and related emerging CoV",
                "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": [
                    {
                        "id": 6011,
                        "first_name": "Erik J.",
                        "last_name": "Stemmy",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2017-08-09",
                "end_date": "2022-07-31",
                "award_amount": 1166670,
                "principal_investigator": {
                    "id": 6339,
                    "first_name": "Ralph S",
                    "last_name": "Baric",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 456,
                            "ror": "https://ror.org/05dq2gs74",
                            "name": "Vanderbilt University Medical Center",
                            "address": "",
                            "city": "",
                            "state": "TN",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [
                    {
                        "id": 21236,
                        "first_name": "Timothy Patrick",
                        "last_name": "Sheahan",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 817,
                    "ror": "",
                    "name": "UNIV OF NORTH CAROLINA CHAPEL HILL",
                    "address": "",
                    "city": "",
                    "state": "NC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Zoonotic viruses, like filoviruses and coronaviruses (CoV), represent a continuous and growing threat to global public health because they unpredictably emerge causing devastating outbreaks of pandemic disease. In the 21st century, severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) emerged from zoonotic pools of viruses, causing severe disease in humans. MERS-CoV is endemic in camels in the Middle East with continuous new infections in humans. Although SARS-CoV is not currently a threat, several “prepandemic” SARS-like CoVs have been isolated from bats that replicate efficiently in human cells and are resistant to existing therapies. With the unpredictable overlap of human and wild animal ecologies, the potential for novel CoV emergence into humans is highly probable. Currently, there are no approved antiviral therapies for any human CoV infection. Broad-spectrum CoV therapies that control known human and zoonotic CoV infections would address an immediate unmet medical need and could counter future pandemic episodes. In partnership with Gilead Sciences, we have demonstrated that the nucleoside prodrug, GS-5734, is highly efficacious in inhibiting multiple human and zoonotic CoV in vitro and SARS-CoV in vivo. The primary goal of our program is to accelerate the preclinical development of GS-5734 and promote IND licensure for the MERS-CoV indication. To thoroughly evaluate the breadth of antiviral activity and predict efficacy against future emerging CoV, we will also assess efficacy against a panel of CoV representative of family-wide genetic diversity, including prepandemic zoonotic strains poised for emergence. Focusing on the highly pathogenic MERS-CoV, our unique partnership integrates: i) metagenomics and recombinant virus synthetic genome recovery, ii) primary human lung cell models, iii) cutting edge virology and biochemistry, iv) robust murine and primate models of human disease and v) state of the art metabolic and pharmacokinetic analysis. In Aim 1, we refine the pharmacokinetics, pharmacodynamics and breadth of GS-5734 through efficacy and metabolism studies in various primary human cells with a diverse array of human and zoonotic CoV and through the evaluation of in vivo efficacy in murine and non-human primate models of MERS- and SARS-CoV. In Aim 2, we select for resistance against SARS-CoV and MERS- CoV, and determine the effect of resistance on virus replication, fitness and susceptibility to treatment. In Aim 3, we determine if the mechanism of action of GS-5734 is a result of direct effects on viral RNA replication and/or alteration of antiviral immunity via deep sequencing and single molecule RNA fluorescence in situ hybridization of vehicle or drug treated infected cells and mice. We articulate a development strategy for broad- spectrum therapeutics that could be extended to a multitude of emerging viral pathogens threatening global public health.",
                "keywords": [
                    "Address",
                    "Animal Model",
                    "Animals",
                    "Antiviral Agents",
                    "Antiviral Therapy",
                    "Attenuated",
                    "Biochemistry",
                    "Birds",
                    "Camels",
                    "Cell Culture Techniques",
                    "Cell model",
                    "Cells",
                    "Chiroptera",
                    "Clinical Trials",
                    "Coronavirus",
                    "Coronavirus Infections",
                    "Data",
                    "Development",
                    "Disease",
                    "Disease Outbreaks",
                    "Drug Kinetics",
                    "Endothelium",
                    "Engineering",
                    "Epithelial Cells",
                    "Exons",
                    "Family",
                    "Filovirus",
                    "Fluorescent in Situ Hybridization",
                    "Fostering",
                    "Future",
                    "Generations",
                    "Genetic",
                    "Genetic Variation",
                    "Genome",
                    "Goals",
                    "Hepatitis",
                    "Human",
                    "Immune",
                    "In Vitro",
                    "Infection",
                    "Innate Immune Response",
                    "Licensure",
                    "Lung",
                    "Mammals",
                    "Measurement",
                    "Mediating",
                    "Medical",
                    "Metabolic",
                    "Metabolism",
                    "Metagenomics",
                    "Middle East",
                    "Middle East Respiratory Syndrome",
                    "Middle East Respiratory Syndrome Coronavirus",
                    "Modeling",
                    "Mus",
                    "Mutate",
                    "Mutation",
                    "Nucleosides",
                    "Parents",
                    "Pathogenesis",
                    "Pathogenicity",
                    "Pathway interactions",
                    "Pharmaceutical Preparations",
                    "Pharmacodynamics",
                    "Pharmacologic Substance",
                    "Predisposition",
                    "Primates",
                    "Prodrugs",
                    "Proteins",
                    "Public Health",
                    "RNA",
                    "RNA Viruses",
                    "RNA chemical synthesis",
                    "RNA replication",
                    "RNA-Directed RNA Polymerase",
                    "Recovery",
                    "Resistance",
                    "Resistance profile",
                    "Resolution",
                    "SARS coronavirus",
                    "Science",
                    "Serum",
                    "Severe Acute Respiratory Syndrome",
                    "T-Lymphocyte",
                    "Testing",
                    "Therapeutic",
                    "Toxic effect",
                    "Transgenic Mice",
                    "Treatment Efficacy",
                    "Viral Genome",
                    "Viral Pathogenesis",
                    "Virus",
                    "Virus Replication",
                    "Wild Animals",
                    "Zoonoses",
                    "aged",
                    "airway epithelium",
                    "alveolar type II cell",
                    "animal ecology",
                    "anti-viral efficacy",
                    "antiviral immunity",
                    "biological systems",
                    "clinical application",
                    "coronavirus receptor",
                    "cross-species transmission",
                    "deep sequencing",
                    "design",
                    "drug metabolism",
                    "efficacy study",
                    "esterase",
                    "fitness",
                    "human coronavirus",
                    "human disease",
                    "human model",
                    "improved",
                    "in vivo",
                    "in vivo evaluation",
                    "in vivo imaging",
                    "metabolic abnormality assessment",
                    "mouse model",
                    "nonhuman primate",
                    "novel coronavirus",
                    "pandemic disease",
                    "pathogenic virus",
                    "pharmacokinetics and pharmacodynamics",
                    "pre-clinical",
                    "preclinical development",
                    "programs",
                    "recombinant virus",
                    "remdesivir",
                    "replicase",
                    "resistance mutation",
                    "single molecule",
                    "transcriptome sequencing",
                    "tripolyphosphate",
                    "uptake",
                    "viral RNA",
                    "viral fitness",
                    "virology"
                ],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "6656",
            "attributes": {
                "award_id": "3R41CA254557-01A1S2",
                "title": "PRANAYAMA BASED MOBILE APP FOR BREAST CANCER SURVIVORSHIP: I-CORPS SUPPLEMENT",
                "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": [
                    {
                        "id": 22312,
                        "first_name": "Patricia A",
                        "last_name": "Weber",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-06-01",
                "end_date": "2023-05-31",
                "award_amount": 55000,
                "principal_investigator": {
                    "id": 22313,
                    "first_name": "SUNDARAVADIVEL",
                    "last_name": "BALASUBRAMANIAN",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": [
                        {
                            "id": 1484,
                            "ror": "",
                            "name": "PRANASCIENCE INSTITUTE LLC",
                            "address": "",
                            "city": "",
                            "state": "SC",
                            "zip": "",
                            "country": "United States",
                            "approved": true
                        }
                    ]
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 1484,
                    "ror": "",
                    "name": "PRANASCIENCE INSTITUTE LLC",
                    "address": "",
                    "city": "",
                    "state": "SC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Cancer remains the second leading cause of deaths in the U.S. Encouragingly, recent improvements in early diagnosis and treatment has led to significant increases in the survival rate of cancer patients. As cancer becomes a chronic but manageable disease for thousands of survivors, the long-term physical and psychological side effects of treatment protocols is becoming more apparent, as is the impact of these issues on disease-free or overall survival. As a result of this changing landscape, survivorship care programs and approaches that incorporate non-pharmacological lifestyle and mind-body interventions are becoming increasingly critical components of the patient treatment pathway. In this regard, integrative approaches such as yogic breathing (YB), a collection of techniques to voluntarily regulate breathing, have emerged as an effective complementary therapy for cancer patients. YB is well-established to induce strong relaxation responses via vagal and parasympathetic stimulation. YB is easy to practice using virtual tools such as mobile apps especially during the current scenario of COVID-19 pandemic and social distancing. In this application, PranaScience seeks to develop a novel group video app for YB that is optimized for home-based delivery of a proscribed YB program that is maximally effective in promoting peer support, and relieving symptomatic conditions associated with cancer treatment and survivorship. This intervention is based on compelling preliminary data generated by the PI of this proposal demonstrating that specific YB exercises induce alterations in the levels of proteins associated with tumor suppression, immune regulation, neuromodulation, and stress response/ inflammation, as well as pilot studies performed in cancer survivors and other patient/general populations indicating that participants are interested in a YB intervention and perceive improvements in well-being after YB sessions. In this Phase I STTR, PranaScience (1) has built a first production version of a culturally neutral group video YB app and (2) partners with the Medical University of South Carolina (MUSC) to pilot test the YB app in breast cancer survivors to evaluate adherence, feasibility, and acceptability of the app to support symptom management. App usage data is collected and used to evaluate adherence to the program, and acceptability for symptom management will be evaluated using a series of defined biobehavioral measures at baseline and following a 12-week implementation period. Exploratory salivary and fingernail biomarker analysis focused on tumor suppressors, inflammatory cytokines, proteome level alterations, and stress hormones will be performed at baseline and at week 12. Structured, focus group interviews of study participants will be used to assess technology perception/ program feasibility and will inform future design optimizations. Information from the I-Corps supplemental work will be used to refine app in preparation for large-scale evaluation in Phase II, and for commercialization purposes through customer discovery interviews.",
                "keywords": [
                    "Adherence",
                    "American Cancer Society",
                    "Antineoplastic Protocols",
                    "Behavioral",
                    "Biological Markers",
                    "Breast Cancer survivor",
                    "Breast Cancer survivorship",
                    "Breathing",
                    "Breathing Exercises",
                    "COVID-19 pandemic",
                    "Cancer Etiology",
                    "Cancer Patient",
                    "Cancer Survivor",
                    "Cancer Survivorship",
                    "Caregivers",
                    "Caring",
                    "Cause of Death",
                    "Cessation of life",
                    "Chronic",
                    "Collection",
                    "Communities",
                    "Complementary therapies",
                    "Computer software",
                    "Control Groups",
                    "Custom",
                    "Data",
                    "Development",
                    "Disease",
                    "Disease Management",
                    "Early Diagnosis",
                    "Early treatment",
                    "Equipment and supply inventories",
                    "Evaluation",
                    "Evidence based intervention",
                    "Exertion",
                    "Fibrinogen",
                    "Focus Groups",
                    "Frequencies",
                    "Funding",
                    "Future",
                    "Gene Expression",
                    "General Population",
                    "Goals",
                    "Group Interviews",
                    "Health",
                    "Home",
                    "Hormones",
                    "Individual",
                    "Inflammation",
                    "Inflammatory",
                    "Innovation Corps",
                    "Institutes",
                    "Integrative Medicine",
                    "Intervention",
                    "Interview",
                    "Length",
                    "Life",
                    "Life Style",
                    "Link",
                    "Lung",
                    "Malignant Neoplasms",
                    "Measures",
                    "Medical",
                    "Meditation",
                    "Mental Depression",
                    "Metabolism",
                    "Methods",
                    "Mind-Body Intervention",
                    "Modality",
                    "Online Systems",
                    "Outcome",
                    "Participant",
                    "Pathway interactions",
                    "Patient Self-Report",
                    "Patients",
                    "Perception",
                    "Personal Satisfaction",
                    "Phase",
                    "Pilot Projects",
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                    "Production",
                    "Program Acceptability",
                    "Proteins",
                    "Proteome",
                    "Psychological Side Effects",
                    "Quality of life",
                    "Radiation therapy",
                    "Randomized",
                    "Rehabilitation therapy",
                    "Relaxation",
                    "Resources",
                    "Risk",
                    "Salivary",
                    "Secondary to",
                    "Series",
                    "Small Business Technology Transfer Research",
                    "Social Distance",
                    "South Carolina",
                    "Stress",
                    "Structure",
                    "Structure of nail of finger",
                    "Supportive care",
                    "Surveys",
                    "Survival Rate",
                    "Survivors",
                    "Symptoms",
                    "System",
                    "Techniques",
                    "Technology",
                    "Testing",
                    "Time",
                    "Treatment Protocols",
                    "Treatment Side Effects",
                    "Tumor Suppression",
                    "Tumor Suppressor Proteins",
                    "Universities",
                    "Virtual Tool",
                    "Visual",
                    "Visual Aid",
                    "Woman",
                    "Work",
                    "Yoga",
                    "attentional control",
                    "base",
                    "biobehavior",
                    "biological adaptation to stress",
                    "cancer site",
                    "cancer therapy",
                    "cognitive process",
                    "cohort",
                    "commercialization",
                    "cytokine",
                    "design",
                    "ethnic minority population",
                    "evidence base",
                    "healthy lifestyle",
                    "healthy volunteer",
                    "immunoregulation",
                    "improved",
                    "interest",
                    "intervention delivery",
                    "malignant breast neoplasm",
                    "mobile application",
                    "n"
                ],
                "approved": true
            }
        }
    ],
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