Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1404&sort=-other_investigators
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-other_investigators", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=-other_investigators", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1405&sort=-other_investigators", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1403&sort=-other_investigators" }, "data": [ { "type": "Grant", "id": "10674", "attributes": { "award_id": "1R01OH012312-01A1", "title": "Testing health hazards from implementation of far-UVC irradiation as an intervention technology to reduce airborne disease transmission", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [ { "id": 22791, "first_name": "Linda", "last_name": "West", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-30", "end_date": "2026-09-29", "award_amount": 658000, "principal_investigator": { "id": 26732, "first_name": "David", "last_name": "Welch", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 781, "ror": "", "name": "COLUMBIA UNIVERSITY HEALTH SCIENCES", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "As part of the NIOSH Research to Practice (r2p) approach, this research responds to the needs identified by the occupational health community for new intervention technology against disease transmission. Pathogens transmitted by airborne routes can result in disease outbreaks with major healthcare and economic consequences. The COVID-19 pandemic demonstrates the potential significance of such disease outbreaks, and NIOSH has identified reduction of transmission of infectious diseases such as influenza among workers as a Strategic Plan Research Goal (Intermediate Goal 3.3). Ultraviolet (UV) radiation (conventionally at 254 nm) is a well-established highly-efficient anti-microbial modality effective at killing bacteria and viruses. However, it is not possible to directly use conventional germicidal UV when people are present because of its well-documented human health hazards for eyes and skin. By contrast, our in vitro and in vivo preliminary studies utilizing far-UVC radiation (defined as 200-230 nm) have demonstrated similar anti-microbial properties compared to conventional germicidal UV lamps, but without corresponding safety concerns. Far-UVC radiation is generated by excimer lamps emitting primarily at a single wavelength, such as 222 nm emissions from KrCl lamps. We have previously demonstrated the utility of 222- nm lamps to inactivate >95% of aerosolized H1N1 influenza virus at a very low dose of 2 mJ/cm2, and have recently demonstrated >99.9% inactivation of aerosolized human coronaviruses with that same very low dose. Continuous overhead far-UVC radiation at very low dose rates in occupied indoor workplaces is therefore a very promising tool to limit the spread of viral and bacterial disease, including COVID-19. While the safety aspects of far-UVC radiation are based on basic biophysics – far-UVC radiation cannot penetrate the skin stratum corneum nor the optical tear layer - a major gap in our knowledge relates to the current safety regulatory limits for far-UVC radiation. While various agencies have published recommendations for exposure limits at far-UVC wavelengths, the data on which they are based are minimal, and lack the specificity to accurately reflect safety as a function of wavelength. With the proposed research we seek to supplement and improve the accuracy of these recommendations by systematically evaluating, as a function of wavelength, short and long term effects of acute and chronic far-UVC irradiation of both the eyes and the skin in mouse models. In this UV wavelength range, mouse models are appropriate for extrapolation to humans as the skin stratum corneum and the ocular tear layer are comparable in thickness, mouse to man. The far-UVC safe exposure threshold curves which will result from this work are a necessary step to improve current recommended human exposure limits in the far-UVC wavelength range, so these safety studies are a crucial factor in the", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10675", "attributes": { "award_id": "1U01IP001191-01", "title": "Evaluating influenza, SARS-CoV-2, and other respiratory virus vaccine effectiveness in prevention of acute illness in Washington state 2022-2027", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2027-09-29", "award_amount": 2000000, "principal_investigator": { "id": 26733, "first_name": "Karen J", "last_name": "Wernli", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1955, "ror": "", "name": "KAISER FOUNDATION HEALTH PLAN OF WASHINGTON", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "As one of the current US Influenza Vaccine Effectiveness (US Flu VE) Network sites, we propose continuing our studies of vaccine effectiveness (VE) for seasonal influenza, COVID-19, and other respiratory viruses to prevent acute respiratory illness (ARI) in Washington state from 2022 to 2027 (Component A). Since March 2020, the COVID-19 pandemic has resulted in >80 million infections and ~1 million US deaths. Until the pandemic, the dominant respiratory virus impacting public health seasonally was influenza. In the US, up to 5% of the population sought outpatient care during a severe epidemic, and a typical epidemic caused tens of thousands of deaths and hundreds of thousands of hospitalizations. The COVID-19 pandemic catalyzed rapid adoption of telehealth care, in particular for patients with mild to moderate ARI, shifting patients from ambulatory visits to minimize healthcare exposure to COVID-19. Currently, influenza and COVID-19 vaccinations are the best available tools for reducing the respiratory virus burden and maintaining population immunity. Vaccination programs represent a substantial public health investment. Given the magnitude of this investment and the dynamic impact of respiratory viruses on public health, policymakers need accurate, timely, and relevant data representing real-world VE to monitor the impact on respiratory illness burden in US populations. The next 5 years of surveillance of respiratory illness in US populations will be critical in accounting for changes in respiratory virus burden. The US Flu VE Network has the capacity, infrastructure, research methods, and specimen collection experience to monitor any respiratory virus within US health care. From 2022-2027, we propose to enroll ~6000 KPWA infants, children, and adults including older adults in urgent care clinics, collect respiratory and blood specimens, complete enrollment and post-enrollment questionnaires, collaborate with laboratory services to type and genetically sequence specimens, collate and curate EHR data, collaborate across the Network with Component A sites, share data with Network Coordination Center (Component B), share specimens with site leading Component E, participate in Network research activities including dissemination, and develop new methods for estimation and inference in VE. Our specific aims to meet the goals of the US Flu VE Network are: Aim 1. Establish a platform to estimate VE of seasonal influenza and COVID-19 vaccines against respiratory viral illnesses in preventing laboratory- confirmed illness among children and adults with mild or moderate illness seeking care in ambulatory settings (Objective 1); Aim 2. Establish a protocol to obtain influenza and SARS-CoV-2 viral sequences from specimens collected among infected participants in the proposed outpatient network (Objective 2); Aim 3. Describe capacity and diagnostic test methods available in KPWA and methods to obtain COVID-19 vaccination data outside influenza season (Objective 3). Aim 4. Improve precision of the test-negative design by incorporate two-phase sampling methodology (methods aim).", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10676", "attributes": { "award_id": "1U01AG079065-01", "title": "Tracing the Health Consequences of Family Support during the COVID-19 Pandemic", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Aging (NIA)", "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 9723, "first_name": "AMELIA WILKES", "last_name": "Karraker", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-15", "end_date": "2027-05-31", "award_amount": 445396, "principal_investigator": { "id": 24770, "first_name": "Emily", "last_name": "Wiemers", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 579, "ror": "https://ror.org/025r5qe02", "name": "Syracuse University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 579, "ror": "https://ror.org/025r5qe02", "name": "Syracuse University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The initial health impacts of the COVID-19 pandemic have been unequal across social groups, and disparities in the economic impact of COVID-19 have amplified existing economic inequalities and health gaps. When faced with health and economic challenges, Americans often rely on family members, including those who are not coresident, to provide time help, financial assistance, and shared housing. Yet, for many disadvantaged Americans, the increased need for help from family comes at a time when the ability of family to provide help is diminished. Public transfers designed to alleviate economic hardships of the pandemic may interact with family transfers, but the combined effects are unknown. Despite the interdependence of health and economic challenges across generations and the effect of family support on health outcomes in the face of challenges, most research on pandemic effects focuses on individuals and households. This project fills this gap in the research creating a multidimensional contextual database linked to the Health and Retirement Study (HRS) and the Panel Study of Income Dynamics (PSID) to examine the effects of the pandemic across generations of American families. The HRS and PSID have collected data on the health and well-being of individuals and their family members for decades, include supplements on COVID-19 health and economic challenges and on public and private transfers to combat these challenges, and will continue indefinitely to support an understanding of the health impacts during and in the years following the pandemic. This project enhances these data by building a contextual database on the pandemic linkable to the generations of families in the HRS and PSID across dimensions of exposure to risk; state, local, and school policies; local economic conditions; health care availability; preexisting health factors; and structural inequalities. The proposed project addresses four Aims: (1) build and maintain a multidimensional contextual database linked to generations of HRS and PSID families; (2) describe how pandemic-related health and economic challenges differed across groups and were shared within families; (3) assess how care, financial support, and coresidence from family members responded to pandemic- related health and economic challenges and how each interacted with public transfer programs; and (4) study the physical and mental health effects in the immediate aftermath and the years following the pandemic and whether family support and public transfers mitigated negative health effects. Disparities across race-ethnicity, socioeconomic status, gender, age and retirement status, and family structure are assessed in each aim. Causal effects of the impact of the pandemic will be estimated using a combination of subjective assessments elicited from respondents and analytic strategies. The results provide a comprehensive understanding of the health and economic challenges the pandemic posed to American families and how it impacted their physical and mental health. Consortium collaborations will facilitate harmonization of contextual factors and health outcomes and support dissemination of the contextual data resource to the broader research community.", "keywords": [ "Address", "Adult", "Affect", "Age", "American", "Body mass index", "COVID-19", "COVID-19 impact", "COVID-19 pandemic", "COVID-19 pandemic effects", "Caring", "Characteristics", "Cohort Effect", "Collaborations", "Communities", "Complement", "Data", "Data Set", "Databases", "Dimensions", "Disadvantaged", "Economic Conditions", "Economics", "Effectiveness", "Elderly", "Ethnic Origin", "Exposure to", "Extended Family", "Face", "Family", "Family dynamics", "Family health status", "Family member", "Financial Support", "Gender", "Generations", "Goals", "Health", "Health and Retirement Study", "Household", "Household and Family", "Housing", "Individual", "Inequality", "Interview", "Knowledge", "Life", "Life Cycle Stages", "Link", "Measures", "Medical", "Medical Records", "Mental Health", "Neighborhoods", "Occupations", "Outcome", "Patient Self-Report", "Personal Satisfaction", "Persons", "Policies", "Population", "Privatization", "Race", "Records", "Research", "Respondent", "Retirement", "Risk", "Risk Factors", "Role", "Sampling", "Schools", "Severities", "Sleep", "Socioeconomic Status", "Surveys", "Time", "Training", "Unemployment", "Update", "Variant", "Work", "combat", "contextual factors", "data dissemination", "data resource", "depressive symptoms", "design", "economic cost", "economic impact", "experience", "family structure", "family support", "health care availability", "health disparity", "health economics", "member", "pandemic disease", "panel study of income dynamics", "physical conditioning", "programs", "prospective", "residence", "response", "safety net", "social group" ], "approved": true } }, { "type": "Grant", "id": "10677", "attributes": { "award_id": "1R43GH002392-01A1", "title": "Rapid Point-of-Care Molecular Test for SARS-CoV-2 and Influenza A/B", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2023-03-31", "award_amount": 275766, "principal_investigator": { "id": 26734, "first_name": "SEASON S-S", "last_name": "WONG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1734, "ror": "", "name": "AI BIOSCIENCES, INC.", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "The goal of this Phase I SBIR proposal is to develop a 15 minute multiplex point-of-care (POC) molecular test for the qualitative detection of COVID-19 and influenza A/B. As of September 2021, the US has had over 39.5 million confirmed cases of COVID-19 and over 642,000K deaths. Additionally, influenza viruses account for over 200,000 hospitalizations and 30,000–50,000 deaths in the US each year. As SARS-CoV-2 and influenza infections can hardly be differentiated by symptoms alone, a single test that can diagnose illness caused by SARS-CoV-2 and influenza viruses will give public health officials information they need in their efforts to control the spread of these important viruses of concern. Our approach leverages rapid sample preparation (1 min hands-on-time and 2.5 minute of heat inactivation) and the rapid gold-standard real-time RT-PCR (12 minute, 40-cycle) to amplify the targeted viral genome. This test can be utilized in multiple settings where actionable test results are needed to make informed treatment decisions quickly. We will demonstrate that our test can deliver rapid results with a similar level of performance as those obtained in reference labs using nasopharyngeal swabs and contrived saliva samples. Our approach has been tested using SARS-CoV-2 and influenza positive clinical specimens in viral transport media. We plan to achieve rapid multiplex RT-PCR using shuttle PCR with thin-film reactors. We can enhance PCR speed and efficiency by using vibration to enhance reagent mass-transport while avoiding the “extreme PCR” approach that needs 10 to 20 times more concentrated reagents (i.e., additional expense) to speed up the reaction. The result from spatial multiplexed fluorescence probe-based RT-PCR can be imaged and analyzed by on-board electronics. The RT-PCR test takes ~8 minutes to complete 40 cycles after 2.5 min of sample heat inactivation and 3 min of reverse-transcription step, and some high positive results can be obtained in as early as 6 minutes. Our approach will be much more sensitive than antigen-based approaches and faster than isothermal amplification approaches, such as loop mediated isothermal amplification (LAMP). The diagnostic utility of the molecular assay will be demonstrated by comparing its robustness, speed, sensitivity, and specificity with current molecular assays. In Phase I, we will work with our collaborator to validate our device and test using clinical specimens. If successfully developed, this compact and minimal instrumentation approach will be simple to perform and inexpensive enough for all sizes of primary-care physician’s offices, nursing homes, pharmacies, community health clinics, and even at-home consumers to adopt the platform.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10681", "attributes": { "award_id": "3R44DE030852-01S1", "title": "Designer DNA Nanostructure Based Biosensing for Rapid COVID19 Detection and Monitoring using Saliva Sample", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 6931, "first_name": "Orlando", "last_name": "Lopez", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-06", "end_date": "2023-11-30", "award_amount": 450000, "principal_investigator": { "id": 25169, "first_name": "Xiaohu", "last_name": "Yao", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 557, "ror": "", "name": "ATOM BIOWORKS INC", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 557, "ror": "", "name": "ATOM BIOWORKS INC", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "A Novel Saliva-Based Aptamer Detection Assay for SARS-CoV-2 Infection Automated, rapid diagnostics with little sample collection and preparation are needed to identify and trace affected persons in times when hyper-infectious pathogens cause pandemics. Frequent, low cost and highly scalable testing is the only way to gain visibility on the magnitude of the pandemic and ultimately control the spread of the disease. We propose the development of a unique system that can cheaply and readily detect SARS-CoV-2 in saliva samples. The development of a system that uses saliva present an opportunity to readily test patients using a sample that is easily collected and harbors high concentration of viral particles. The SARS-CoV-2 pandemic has predominantly affected individuals with pre-existing conditions such as clotting disorders, diabetes, hypertension or other chronic diseases. Patients with these pre-existing conditions who then are infected have exacerbated symptoms and complications that can lead to death. For example, many patients that have succumbed to SARS-CoV-2 infection have developed blood clots that have impaired pulmonary or cardiac function and ultimately cardiac failure. A rapid diagnostic using easily collected samples (e.g. saliva) would allow for infections to be identified sooner, therapies to be administered quicker, treatment to be monitored, and ultimately leading to fewer individuals that succumb to the infection. We outline a novel DNA Star biosensing approach based on the fact that viruses, such as SARS- CoV-2, express unique spatial patterns of antigens on their surfaces, facilitating multivalent binding to host cells for infection. These configurations of epitopes drive the high sensitivity and specificity of our assay. Based on this naturally occurring binding mechanism, we developed a rational design approach producing pattern matching designer DNA architecture for viral sensing. A proof-of-concept Dengue virus (DENV) rapid diagnostics was developed to demonstrate its power: DENV surface antigens present the most complex geometric pattern among all known pathogens, a DNA star linked 10-aptamers nanostructure that offers polyvalent, spatial DENV- epitope pattern matching interactions has provided high DENV-binding avidity and specificity, increasing affinity by ~1,000× compared to the conventional aptamer approach which relies on monovalent aptamer-epitope interactions. Our POCT diagnostics detected intact DENV virions in patient samples with PCR equivalent sensitivity in <2 mins at a cost <$0.15. Current RT-PCR molecular test are suited to large, centralized laboratories, and difficult to scale for rapid testing of samples and delivery of results to clinicians and patients. Immunoassay tests have lower sensitivity, and patients need to develop a response to the virus in order to detect the antibody response. Our “DNA star” biosensor-based rapid diagnostics will provide the infrastructure for real time SARS-CoV-2 diagnostics that is easy to use (instrument-free), faster (sample to results in minutes) and cost effective (~$3 per test).", "keywords": [ "2019-nCoV", "Affect", "Affinity", "Antibody Response", "Antigens", "Architecture", "Avidity", "Binding", "Biological Assay", "Biosensing Techniques", "Biosensor", "Blood Coagulation Disorders", "Blood coagulation", "COVID-19 detection", "COVID-19 diagnostic", "COVID-19 monitoring", "COVID-19 pandemic", "Cells", "Cessation of life", "Chronic Disease", "Complex", "DNA", "Dengue Virus", "Detection", "Development", "Diabetes Mellitus", "Diagnostic", "Disease", "Epitopes", "Heart failure", "Hospitals", "Hypertension", "Immunoassay", "Impairment", "Individual", "Infection", "Infectious Agent", "Infrastructure", "Laboratories", "Lead", "Link", "Location", "Modality", "Molecular", "Monitor", "Nanostructures", "Patients", "Pattern", "Persons", "Plasma", "Preparation", "Quarantine", "Rapid diagnostics", "Reverse Transcriptase Polymerase Chain Reaction", "SARS-CoV-2 infection", "Saliva", "Sampling", "Schools", "Sensitivity and Specificity", "Specificity", "Surface", "Surface Antigens", "Symptoms", "System", "Testing", "Time", "Urine", "Viral", "Virion", "Virus", "Whole Blood", "antibody detection", "aptamer", "base", "cost", "cost effective", "detection assay", "heart function", "instrument", "novel", "pandemic disease", "particle", "pathogen", "pathogenic virus", "pulmonary function", "rapid testing", "rational design", "response", "saliva sample", "sample collection", "viral detection" ], "approved": true } }, { "type": "Grant", "id": "10682", "attributes": { "award_id": "1C06OD032083-01A1", "title": "Tuskegee University Health Disparities Biomedical Research Center", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [ { "id": 23882, "first_name": "CHARLES ASHLEY", "last_name": "Barnes", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-15", "end_date": "2025-08-31", "award_amount": 7931772, "principal_investigator": { "id": 21075, "first_name": "Clayton", "last_name": "Yates", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 569, "ror": "https://ror.org/0137n4m74", "name": "Tuskegee University", "address": "", "city": "", "state": "AL", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 569, "ror": "https://ror.org/0137n4m74", "name": "Tuskegee University", "address": "", "city": "", "state": "AL", "zip": "", "country": "United States", "approved": true }, "abstract": "OVER VIEW - Carver Research Foundation Annex – Center for Genomics and Health Disparity Research (CGHDR) We seek NIH support to build an annex to the existing historic Carver Research Building to locate our cutting-edge cancer genomics research, focusing on translational computation biology research. The new addition will accommodate the growing needs of the many biomedical researchers at Tuskegee University pursuing computational and wet-lab genomics research and the many researchers that we will hire soon. This addition will thus provide a modern infrastructure consistent with the sophisticated requirements of current biomedical research and the training of a diverse workforce. Health disparities are a focus and point of distinction in biomedical research at Tuskegee University, an Institution of Emerging Excellence. Health disparities-related diseases are the leading causes of morbidity and mortality in the United States and are very poignantly exemplified during the current COVID-19 pandemic. African Americans continue to suffer disproportionately from these and other chronic diseases, including obesity and diabetes – all influenced by individual genetic predisposition and environmental and lifestyle factors, including diet, nutrition, and physical activity. Tuskegee University is located in Alabama’s Black Belt (a term initially referring to the area’s black topsoil and now more often its predominantly African American population). The city of Tuskegee and the Black Belt are among the poorest regions in the U.S. We seek to become a globally renowned center of emerging excellence in cancer genomics with a focus on health disparities. In the last few years, our cancer research efforts have been increasingly focused on genomics, transcriptomics, computational biology, and digital pathology, resulting in numerous grants and publications in high-impact journals. However, our existing laboratory infrastructure in an aging building has become drastically inadequate to support such modern research endeavors. Additionally, we have recently been awarded the prestigious NIH FIRST award in collaboration with UAB, which will require us to hire 12 new tenure track faculty members, with three housed at Tuskegee. These new faculty will put additional demands for sophisticated laboratory infrastructure that are not available in our current facilities. The Biomedical Research Center at Tuskegee University is currently housed in the historic Carver Research Foundation. It supports multiple complementary research programs, including the Research Centers at Minority Institutions (RCMI) and the Morehouse School of Medicine/Tuskegee University/University of Alabama at Birmingham (UAB) Comprehensive Partnerships to Address Cancer Health Equity (CPACHE). The Integrative Biosciences Doctoral Program (IBS) is uniquely poised to explore the genomic profile of underserved populations within Alabama's Black Belt. Collectively, these programs promote biomedical research that facilitates the translation of basic research to innovative new therapeutics and behaviors to reduce health disparities within Alabama's Black Belt region and the southeast region. The new annex to the Carver Research Building will be the first facility on Tuskegee University's campus devoted solely to biomedical research and graduate education. The CGHDR will consist of approximately 8,000 ft2 of green/sustainable newly constructed space that will house wet lab benches; bioinformatics/genomic core research work areas; offices for faculty, trainees, graduate students, and administrative staff supporting these researchers; and conference rooms. The complex will include an open lab format that will support five new laboratories and three core laboratories (Microscopy, Bioinformatics, and Genomics/Proteomics/Molecular Biology). The Research Building will be the first LEED-certified building on the Tuskegee University campus and one of few in the Black Belt region. The proposed center will provide a location to identify novel strategies for preventing and treating disease and advance the capabilities of all biomedical researchers at Tuskegee University. The new center will undoubtedly contribute to research on reducing health disparities in Alabama's Black Belt region and beyond. The center will also provide a valuable infrastructure to several other research groups on the campus, including agricultural genomics and natural products research, nano-targeted drug delivery in the School of Engineering, and infectious diseases, meat and poultry safety, and pathobiology within the School of Veterinary Medicine. Furthermore, the new building will also help us attract and retain high-quality scientific talent, a chronic challenge in Tuskegee’s rural setting.", "keywords": [ "Address", "African American population", "Aging", "Agriculture", "Alabama", "Area", "Award", "Basic Science", "Behavior", "Bioinformatics", "Biological Sciences", "Biomedical Research", "Black race", "COVID-19 pandemic", "Chronic", "Chronic Disease", "Cities", "Collaborations", "Communicable Diseases", "Complex", "Computational Biology", "Diabetes Mellitus", "Diet and Nutrition", "Disease", "Diverse Workforce", "Domestic Fowls", "Drug Delivery Systems", "Drug Targeting", "Engineering", "Environmental Risk Factor", "Faculty", "First Independent Research Support and Transition Awards", "Foundations", "Genetic Predisposition to Disease", "Genomics", "Graduate Education", "Grant", "Health Disparities Research", "Individual", "Infrastructure", "Institution", "Journals", "Laboratories", "Location", "Malignant Neoplasms", "Meat", "Microscopy", "Minority-Serving Institution", "Modernization", "Molecular Biology", "Morbidity - disease rate", "Morehouse School of Medicine", "Natural Products", "Obesity", "Physical activity", "Proteomics", "Publications", "Reduce health disparities", "Research", "Research Personnel", "Research Training", "Safety", "Schools", "Talents", "Translations", "Underserved Population", "United States", "United States National Institutes of Health", "Universities", "Veterinary Medicine", "Veterinary Schools", "Work", "anticancer research", "cancer genomics", "digital pathology", "genomic profiles", "graduate student", "health disparity", "health equity", "innovation", "lifestyle factors", "member", "mortality", "nano", "novel strategies", "novel therapeutics", "prevent", "programs", "rural setting", "symposium", "tenure track", "transcriptomics" ], "approved": true } }, { "type": "Grant", "id": "10683", "attributes": { "award_id": "1R01MD018204-01", "title": "Building Access to Food through Systems and Solidarity", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 6025, "first_name": "Crystal", "last_name": "Barksdale", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-18", "end_date": "2027-04-30", "award_amount": 1651354, "principal_investigator": { "id": 26738, "first_name": "STELLA S", "last_name": "Yi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 832, "ror": "", "name": "NEW YORK UNIVERSITY SCHOOL OF MEDICINE", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "/ ABSTRACT Leveraging our deep experience with conducting community-engaged research, the goal of the Building Access to Food through Systems and Solidarity (BASIS) Study is to improve diet by providing culturally appropriate food access and attending to drivers that limit the ability to achieve nutrition security in Sunset Park – a community of Mexican and Chinese American families in Brooklyn, NY that has been hard-hit during the COVID-19 pandemic, has lagged in economic recovery, and where residents are disconnected from government supports. Significance. Latinx and Asian American communities face unique, yet similar structural and social inequities contributing to poor diet quality, which have contributed to the increased burden of diabetes and non-alcoholic fatty liver disease in these groups. The past two years has exacerbated these barriers due to overt anti-immigrant and anti-Asian sentiment during the pandemic, invoking fear, cultural shame, and loss of a sense of security for these groups – factors which have fueled challenges towards accessing food and economic stability. Approach. Working collaboratively with four farming/gardening organizations, one elementary school and three community-based organizations, our aims are: Aim 1: To implement a whole-of-community intervention in Sunset Park for improving diet and the social/built environments for low-income Mexican and Chinese American immigrants. The BASIS program will include in\u0002language navigation for food business owners/residents to government assistance / workforce development programs; a subsidized fresh produce box program; gardening and nutrition education; and a social marketing campaign to promote healthy eating behavior changes and cultural awareness. Materials will be culturally appropriate and specific to each community, yet also highlight similarities across both groups. Aim 2: To evaluate the BASIS program impact at the community, interpersonal and individual levels . The evaluation plan will employ administrative data sources and mixed methods to assess outcomes at multiple levels. Outcomes will be assessed in Sunset Park and in 4 comparison communities that are predominantly Mexican and Chinese American (Corona, East Harlem; Chinatown, Elmhurst, respectively). We hypothesize that stability in the food retail sector and improvements in neighborhood social cohesion, diet, ethnic pride and sense of belonging will be observed in Sunset Park vs. comparison communities. Aim 3: To co-develop a multi-faceted sustainability strategy with multi-sector stakeholders. Sustainability is a central priority of the BASIS program and is driven by commitment to community priorities; investment in infrastructure and workforce development; and engagement in the local food policy dialogue. Impact.BASIS presents a powerful model to improve diet in immigrant communities by addressing determinants of food access in a community-centered, culturally competent way, and by fortifying community empowerment.", "keywords": [ "Academia", "Address", "Area", "Asian", "Asian Americans", "Awareness", "Businesses", "COVID-19 pandemic", "Cessation of life", "Chinese American", "Collaborations", "Communities", "Data Sources", "Diabetes Mellitus", "Diet", "Documentation", "Economics", "Environment", "Essential worker", "Evaluation", "Face", "Family", "Financial Support", "Food", "Food Access", "Food Industry", "Food Policy", "Food Services", "Fright", "Goals", "Government", "Health Disparities Research", "Healthy Eating", "Immigrant", "Immigrant community", "Individual", "Industry", "Investments", "Language", "Latinx", "Low income", "Methods", "Mexican Americans", "Modeling", "Needs Assessment", "Neighborhoods", "New York City", "Outcome", "Population", "Program Development", "Public Health", "Recovery", "Research", "Resources", "Science", "Security", "Shame", "Social Marketing", "Stimulus", "Strategic Planning", "Surveys", "System", "Trust", "Unhealthy Diet", "United States National Institutes of Health", "Workforce Development", "base", "behavior change", "built environment", "cardiometabolism", "community center", "community engaged research", "community intervention", "cultural competence", "diabetes risk", "elementary school", "empowerment", "ethnic minority population", "experience", "health disparity", "high risk", "implementation science", "improved", "infrastructure development", "non-alcoholic fatty liver disease", "nutrition", "nutrition education", "pandemic disease", "programs", "racial and ethnic", "social", "social cohesion", "solidarity", "vulnerable community" ], "approved": true } }, { "type": "Grant", "id": "10684", "attributes": { "award_id": "1R41AG079736-01", "title": "Jigsawdio: an AudioVisual Jigsaw Puzzle for People with Alzheimer's Disease and Alzheimer's-Disease-Related Dementias", "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": 20585, "first_name": "Dana Jeffrey", "last_name": "Plude", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-15", "end_date": "2023-08-31", "award_amount": 499670, "principal_investigator": { "id": 26739, "first_name": "Amy", "last_name": "Young PI", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1957, "ror": "", "name": "CALLAHAN-YOUNG LLC", "address": "", "city": "", "state": "NC", "zip": "", "country": "United States", "approved": true }, "abstract": "Social isolation leads to loneliness, which is linked to depression, stress, high blood pressure, and poor sleep, all of which accelerate cognitive decline. The prolonged social isolation that resulted from the COVID-19 pandemic has further highlighted the importance of social connection. Developing new strategies to support AD/ADRD patients and their families is a public health priority, particularly when social and family connections are disrupted. Jigsawdio has created an audiovisual jigsaw puzzle that combines photographs and audio recordings of memories that can be completed alone or with others. Individual pieces are encoded with customized audio recordings that play when the piece is set into place. Our product innovation is driven by several premises. First, according to the Alzheimer’s Society, memory care research shows that even though a person with ADRD may no longer recognize a loved one, their time together has a lasting, positive impact. Second, studies have shown that the emotional state of AD/ADRD patients can be bolstered through nostalgia and reminiscence. Despite being cognitively impaired, people with AD/ADRD experience nostalgia in a manner similar to non-impaired adults. Reminiscence therapy (RT) uses memories and past experiences with tangible prompts, such as photographs or music, to evoke memories and stimulate conversation. For AD/ADRD patients, RT has been shown to have positive effects on quality of life, communication, and mood. Third, opportunities for social experiences that evoke emotional memories can improve mood and decrease agitation in AD/ADRD patients. Fourth, jigsaw puzzles have been shown to reduce stress and agitation. Focusing on a puzzle provides a “breather” from stress and can enhance mood through fun, flow, and mastery. Because of the pandemic, socially engaging activities are desperately needed. Jigsawdio has previously developed a recordable audio puzzle prototype designed for general use. To translate this product for AD/ADRD users, we have assembled a team with expertise in storytelling, nostalgia, AD/ADRD psychology, technology development for AD/RD users, and mental determinants of well-being and happiness. The overall objective of this Phase I STTR proposal is to conduct interviews to create storylines, develop a minimum viable product for AD/ADRD patients, and conduct a usability and acceptability study with participants living in a memory care facility. To achieve these objectives, we will complete the following aims: 1) Conduct in-depth interviews with families, caregivers, and facility staff to collect stories of memorable events and create multiple storylines for each memory care resident. 2) Develop customized audiovisual jigsaw puzzles for memory care residents. The Jigsawdio team will design and engineer an MVP consisting of hardware and software designed for AD/ADRP users. 3) Determine the feasibility and usability of the puzzles for memory care residents. The success of our Phase I project will allow us to refine the Jigsawdio MVP for AD/ADRD users based on user feedback and engage in a large-scale user clinical trial to evaluate the effects of Jigsawdio on emotional well-being, agitation, depression, and anxiety.", "keywords": [ "Address", "Adult", "Adverse event", "Agitation", "Alzheimer&apos", "s Disease", "Alzheimer&apos", "s disease related dementia", "Anxiety", "COVID-19 pandemic", "Caregivers", "Caring", "Clinical Trials", "Cognitive", "Communication", "Custom", "Development", "Disease", "Emotional", "Engineering", "Event", "Exhibits", "Family", "Family Caregiver", "Family member", "Feedback", "Future", "Happiness", "Health", "Health care facility", "Hypertension", "Image", "Impaired cognition", "Indiana", "Individual", "Intervention", "Interview", "Link", "Loneliness", "Memory", "Mental Depression", "Moods", "Music", "Oral", "Participant", "Patient Care", "Patients", "Personal Satisfaction", "Persons", "Phase", "Pilot Projects", "Play", "Psyche structure", "Psychology", "Quality of life", "Recording of previous events", "Reporting", "Research", "Risk Factors", "Small Business Technology Transfer Research", "Social isolation", "Societies", "Software Design", "Stress", "Surveys", "Technology", "Time", "Translating", "Universities", "Visual", "Well in self", "adherence rate", "base", "design", "experience", "improved", "innovation", "interest", "loved ones", "memory care", "mortality risk", "pandemic disease", "poor sleep", "positive emotional state", "prototype", "public health priorities", "recruit", "retention rate", "satisfaction", "social", "success", "technology development", "usability" ], "approved": true } }, { "type": "Grant", "id": "10685", "attributes": { "award_id": "272201700040I-0-759302200006-1", "title": "Task C14: Advancing Human Lung Microphysiological Systems to Model Coronavirus Infection and Test Candidate Countermeasures", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-23", "end_date": "2024-03-22", "award_amount": 1108255, "principal_investigator": { "id": 26740, "first_name": "JENNIFER", "last_name": "YOUNG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 851, "ror": "", "name": "UNIVERSITY OF TEXAS MED BR GALVESTON", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "This contract provides for the development and standardization of difficult-to-source reagents that require the use of nontraditional animal models of infectious diseases.", "keywords": [ "2019-nCoV", "Animal Model", "Basic Science", "COVID test", "Contracts", "Coronavirus Infections", "Development", "Human", "Lung", "Modeling", "Reagent", "Source", "Standardization", "infectious disease model", "microphysiology system" ], "approved": true } }, { "type": "Grant", "id": "10686", "attributes": { "award_id": "1R01MD018548-01A1", "title": "Big Data Digital Outreach and Epidemiology Methods for HIV Care among Communities of Color", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Minority Health and Health Disparities (NIMHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 8046, "first_name": "Nathaniel", "last_name": "Stinson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-09-24", "end_date": "2027-06-30", "award_amount": 811626, "principal_investigator": { "id": 24442, "first_name": "Sean", "last_name": "Young", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 971, "ror": "", "name": "UNIVERSITY OF CALIFORNIA-IRVINE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 971, "ror": "", "name": "UNIVERSITY OF CALIFORNIA-IRVINE", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "One of the most significant problems in the field of HIV deals with addressing the low rates of HIV care among individuals living with HIV/AIDS, especially among Black/African American and Latinx communities. This application seeks to study a novel way to address that problem by adopting and applying a cutting-edge “big data outreach” approach being used to increase consumer engagement by top technologies companies. This approach has recently been replacing other digital outreach methods largely for privacy reasons-- to conform to stringent European Union privacy laws-- as it involves de-identified data. The digital outreach method being proposed is already being applied in health (but not yet HIV) settings. During the COVID-19 pandemic, our team and others (including the CDC) studied and found success applying these methods for targeted digital recruitment and outreach to those at high-risk for COVID-19. As a result of the COVID-19 pandemic and its effect on use of digital/remote tools, these approaches will soon be applied to HIV to assist in targeting and engaging hard-to reach individuals in HIV research and care. Importantly, the proposed methods allow access to large-scale passively-collected, opt-in, community and mobility (GPS pings) data, which have been shown to add rich and granular data to improve health surveillance and interventions. This application seeks to use these novel digital outreach methods to identify and enroll individuals living with HIV/AIDS from communities of color who are at high-risk for being out of care, and analyze their mobility and community data to identify the key geographic contexts that impact HIV care engagement. We are conducting this effort for, and in partnership with, 2 Ending the HIV Epidemic (EHE) jurisdictions (Washington D.C. and Orange County health departments) and key participant stakeholders to gain their insights on needs, implementation (including ethical concerns), and potential future scale-up of this approach to improve surveillance and intervention efforts. Specifically, we seek to 1) Identify individuals of color living with HIV/AIDS within EHE regions who are at high-risk for being out of care, 2) Using GPS mobility, community (e.g., local crime), and HIV care data, identify the key geographic contexts that impact HIV care engagement, and 3) In partnership with the Washington D.C. and Orange County health departments, explore a case study of the ongoing barriers and facilitators of this approach at the individual, interpersonal, and structural levels. This 1-year cohort study will be focused on identifying people living within an EHE region who have been hard-to-reach for HIV care in order to converge with EHE outcome measures. To our knowledge, this is the first study to apply these novel “big data outreach” methods to HIV, will enroll the largest cohort to date with GPS mobility, community, and other HIV care contextual data, and the first HIV study to passively collect mobility data, which helps to increase data quality and reduce dropout rates compared to previous studies.", "keywords": [ "AIDS/HIV problem", "Address", "Adherence", "Adopted", "Advertising", "Affect", "African American", "Area", "Big Data", "Black Populations", "Black race", "COVID-19 pandemic", "COVID-19 risk", "Caring", "Case Study", "Centers for Disease Control and Prevention (U.S.)", "Clinic", "Cohort Studies", "Color", "Communication", "Communities", "County", "Crime", "Data", "Data Sources", "Devices", "Dropout", "Enrollment", "Epidemic", "Epidemiologic Methods", "Epidemiology", "Ethics", "European Union", "Facebook", "Future", "Geography", "HIV", "Health", "Health Insurance Portability and Accountability Act", "Home", "Individual", "Intervention", "Interview", "Knowledge", "Latinx", "Latinx population", "Laws", "Learning", "Machine Learning", "Maps", "Marketing", "Mediator of activation protein", "Mental Health", "Methods", "Modeling", "Movement", "Neighborhoods", "Oranges", "Outcome Measure", "Participant", "Pattern", "Persons", "Prevention", "Privacy", "Process", "Public Health", "Research", "Research Personnel", "Risk", "Sampling", "Services", "Structure", "Surveys", "Target Populations", "Technology", "Time", "United States", "Visualization", "Washington", "aged", "barrier to care", "base", "care outcomes", "cohort", "data de-identification", "data quality", "design", "digital", "digital communication", "experience", "follow-up", "handheld mobile device", "high risk", "implementation science", "improved", "innovation", "insight", "mobility aid", "multilevel analysis", "novel", "outreach", "people of color", "public-private partnership", "recruit", "scale up", "socioeconomics", "success", "tool" ], "approved": true } } ], "meta": { "pagination": { "page": 1404, "pages": 1424, "count": 14236 } } }