Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=5&sort=-program_officials
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-program_officials", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1419&sort=-program_officials", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=6&sort=-program_officials", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=4&sort=-program_officials" }, "data": [ { "type": "Grant", "id": "15862", "attributes": { "award_id": "1R44AG097298-01", "title": "Scaling a network of small community-based care homes as a high-value alternative to institutional care", "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": 44288, "first_name": "ERIN", "last_name": "HARRELL", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-09-16", "end_date": "2027-05-31", "award_amount": 1089329, "principal_investigator": { "id": 44289, "first_name": "Vipan", "last_name": "Nikore", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 3384, "ror": "", "name": "HOMECARE HUB US INC", "address": "", "city": "", "state": "IL", "zip": "", "country": "United States", "approved": true }, "abstract": "The United States faces a severe long-term services and supports (LTSS) crisis as the senior population grows rapidly, with the number of seniors expected to nearly double by 2060. Approximately 70% of these individuals will require some form of LTSS, putting unprecedented pressure on a system that is already costly and strained. Traditional nursing homes, while necessary, frequently exceed $100,000 annually per patient and often lead to issues such as social isolation, high readmission rates, and lower resident satisfaction. The COVID-19 pandemic underscored the fragility of these centralized care models, which saw higher infection rates, limited adaptability, and increasing burdens on families and health systems. There is an urgent need for cost-effective, high-quality, and scalable non-institutional LTSS alternatives that are adaptable to the needs of seniors. Homecare Hub (HCH) offers an innovative solution through its network of small, community-based 2-12 person residential care homes. By creating a technology and services platform that allows caring nurses and caregivers to create new supply of high-quality small care homes, and then connecting seniors to these new and existing vetted small homes that deliver personalized, cost-effective care, HCH aims to provide a decentralized, supportive alternative to institutional LTSS. This model leverages a robust technology platform to monitor real-time bed availability in the network of homes, facilitate efficient patient transitions, and uphold high standards of quality. This makes HCH a natural fit within the healthcare ecosystem. HCH’s solution has already demonstrated notable success, achieving reduced hospital readmissions, shorter lengths of stay, and high family satisfaction across multiple pilot studies. The project’s specific aims are: 1) to demonstrate improved health outcomes for seniors by tracking measures in physical health (chronic disease management), mental health, and overall well-being, as well as reductions in ER visits and re-admissions; 2) to quantify the cost-effectiveness of HCH’s model through comparative analyses with traditional LTSS, showing potential for significant healthcare savings; and 3) to highlight how this model supports enhanced hospital throughput and transitions by enabling faster, more efficient and higher quality discharges. By fostering a model that addresses both the financial and human challenges of LTSS, HCH is poised to make a transformative impact on the healthcare system, providing a sustainable, person-centered approach to senior care that enhances quality, reduces costs, and aligns with the future of value-based healthcare.", "keywords": [ "Acute", "Address", "Adoption", "Assisted Living Facilities", "Beds", "COVID-19 pandemic", "Care given by nurses", "Caregivers", "Caring", "Chronic Disease", "Client satisfaction", "Communities", "Computer software", "Continuity of Patient Care", "Country", "Data", "Death Rate", "Decentralization", "Disease Management", "Ecosystem", "Emergency department visit", "Ensure", "Face", "Family", "Financial Hardship", "Fostering", "Future", "Gerontology", "Goals", "Growth", "Health", "Health Care", "Health Care Costs", "Health Care Systems", "Health Surveys", "Health system", "Home", "Hospitalization", "Hospitals", "Human", "Individual", "Infection", "Infrastructure", "Institution", "Interview", "Length of Stay", "Life Style", "Link", "Long-Term Care", "Mainstreaming", "Marketing", "Measurable", "Measures", "Medical Care Team", "Mental Health", "Modeling", "North America", "Nursing Homes", "Outcome", "Paper", "Pathway interactions", "Patient-Focused Outcomes", "Patients", "Personal Satisfaction", "Persons", "Phase", "Pilot Projects", "Population", "Positioning Attribute", "Process", "Quality of Care", "Residential Treatment", "Resources", "Risk", "Savings", "Services", "Skilled Nursing Facilities", "Social isolation", "Support System", "Surveys", "System", "Technology", "Time", "Traction", "United States", "Visit", "Wisconsin", "aging population", "care costs", "care outcomes", "care systems", "clinical care", "community based care", "comparative", "cost", "cost effective", "cost effectiveness", "cost efficient", "experience", "family burden", "flexibility", "health record", "high standard", "hospital readmission", "improved", "infection rate", "innovation", "patient home care", "person centered", "personalized care", "physical conditioning", "preference", "pressure", "readmission rates", "real time monitoring", "resilience", "satisfaction", "social", "success", "technology platform", "value-based care" ], "approved": true } }, { "type": "Grant", "id": "15860", "attributes": { "award_id": "1R35GM156197-01", "title": "Pathological Autoantibodies Contribute to Immune Suppression in Sepsis", "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": 44285, "first_name": "XIAOLI", "last_name": "ZHAO", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-09-01", "end_date": "2030-07-31", "award_amount": 410000, "principal_investigator": { "id": 44286, "first_name": "Gerard J", "last_name": "Nau", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 3383, "ror": "", "name": "RHODE ISLAND HOSPITAL", "address": "", "city": "", "state": "RI", "zip": "", "country": "United States", "approved": true }, "abstract": "Sepsis is a severe illness associated with high morbidity and mortality in the US and globally. Complications of multi-organ dysfunction, acute respiratory distress syndrome, and infections have a significant impact on late survival. With limited therapeutic interventions, it is essential to understand the fundamental biology of sepsis. Immune dysfunction and immunosuppression are characteristic of sepsis, especially with late complications where lymphopenia predicts a poor prognosis. Gaps remain, however, in the understanding of the mechanisms underlying prolonged immune suppression. Recently, there has been a greater appreciation of autoimmune antibodies that lead to pathological immune consequences in the setting of critical illness. For example, sepsis due to COVID-19 leads to anti-cytokine autoantibodies (ACAAs) that correlate with greater disease severity. In our preliminary data we have also defined ACAAs post-COVID along with ACAAs in ICU patients with sepsis. We have also made the novel discovery of anti-Fas autoantibodies (FasAAs) induced during sepsis, representing a novel mechanism for lymphopenia associated with critical illness. Our overarching hypothesis is that severe conditions like sepsis induce pathological autoimmunity that alters immune function and increases infections. Our hypothesis predicts that sepsis patients with higher levels of autoantibodies will have more immune dysregulation and secondary infectious complications. The objective of this proposal is to determine the prevalence of ACAAs, define mechanism(s) by which they contribute to immunosuppression, and identify sites where their activity could be disrupted for therapeutic purposes. We propose using complementary immune and computational approaches to identify autoantibodies from the blood of sepsis patients and how they correlate with clinical status. We will investigate the biological function of these antibodies on human cytokines and human cells in vitro, along with developing strategies to interfere with deleterious autoantibodies. To address these issues, we have obtained over 350 serum specimens for this study to discriminate between the effects of preexisting autoantibodies and those with a net increase during sepsis. In addition, we have access to deep RNA-seq data from over 100 sepsis patients for computational studies. The long-term objective is to apply this information to assess prognosis of sepsis patients and create precision therapeutics to sustain and restore immune function.", "keywords": [ "Acute Respiratory Distress Syndrome", "Address", "Antibodies", "Autoantibodies", "Autoimmunity", "Biological Process", "Biology", "Blood", "COVID-19", "Cells", "Characteristics", "Clinical", "Critical Illness", "Data", "Functional disorder", "Human", "Immune", "Immune System Diseases", "Immune system", "Immunosuppression", "In Vitro", "Infection", "Lymphopenia", "Modality", "Morbidity - disease rate", "Organ", "Pathologic", "Patients", "Precision therapeutics", "Prevalence", "Prognosis", "Proteins", "Research", "Sepsis", "Serum", "Severity of illness", "Site", "Specimen", "Therapeutic", "Therapeutic Intervention", "computer studies", "cytokine", "immune function", "infection risk", "mortality", "novel", "novel therapeutics", "post sepsis", "post-COVID-19", "preservation", "septic patients", "transcriptome sequencing" ], "approved": true } }, { "type": "Grant", "id": "15920", "attributes": { "award_id": "1R01HD114790-01A1", "title": "Health Outcomes of Youth Who Experience Caregiver Death", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 44281, "first_name": "VALERIE", "last_name": "MAHOLMES", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-07-24", "end_date": "2030-03-31", "award_amount": 569563, "principal_investigator": { "id": 44365, "first_name": "Dylan B.", "last_name": "Jackson", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 44366, "first_name": "Terrinieka Williams", "last_name": "Powell", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 2615, "ror": "", "name": "JOHNS HOPKINS UNIVERSITY", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "Each year, over two million US youth experience the death of a caregiver before the age of 18 (hereafter referred to as caregiver death). Given the syndemic of COVID-19, the opioid crisis, and gun violence, rates of caregiver death among US children are likely to remain elevated or increase in the next decade. US non-Hispanic Black children are three times more likely to experience parent death than White children. Bereaved youth (i.e., who experienced a caregiver death) are vulnerable to adverse emotional and behavioral health (EBH) outcomes, such as higher risks of depression, anxiety, substance use, and suicidality. The goal of this research is to identify opportunities for improving EBH outcomes among bereaved youth. Three knowledge gaps must be filled to achieve this goal. First, we need to evaluate caregiver death in the context of other co-occurring adverse experiences. Second, we need to understand how the caregiving context mediates the relationship between caregiver death and EBH outcomes. Third, we need to learn from the lived experiences of bereaved young people. In addition to our multidisciplinary investigative team with relevant content and methodological expertise, an Advisory Board of bereaved young adults and grief professionals will be developed to inform this research. Guided by a Life Course Framework and Multidimensional Grief Theory, we will use a convergent mixed-method design to achieve three aims and fill the identified knowledge gaps: 1) Assess associations between caregiver death and EBH outcomes in the context of adverse childhood expereinces among young adults from the Future of Families and Child Wellbeing Study (N = ~2900); 2) Determine the extent to which the caregiving context (i.e., material hardship and parental monitoring) mediates the relationship between caregiver death and EBH outcomes; 3) Identify diverse strategies to support bereaved youth using longitudinal survey data and lived experiences (i.e., life history interviews with 80 young adults and consensus building with our Advisory Board). Achieving these aims will improve our ability develop tailored, family-centered interventions, practices and policies that support bereaved youth across sociodemographic groups. Ultimately, study findings will inform theory-driven and data-informed recommendations for future research, practice, and policies to improve EBH outcomes for the growing number of bereaved young people.", "keywords": [ "Adverse effects", "Adverse event", "Affect", "Age", "Anxiety", "Bereavement", "Black race", "COVID-19", "Caregivers", "Cessation of life", "Characteristics", "Child", "Child Health", "Child Welfare", "Childhood", "Consensus", "Data", "Development", "Dimensions", "Emotional", "Ethnic Origin", "Exhibits", "Family", "Family member", "Future", "Gender", "Goals", "Grief reaction", "Health", "Intervention", "Interview", "Joints", "Knowledge", "Learning", "Life Cycle Stages", "Lived experience", "Longitudinal Surveys", "Mediating", "Mental Depression", "Mental disorders", "Methodology", "Methods", "Not Hispanic or Latino", "Outcome", "Parents", "Persons", "Policies", "Policy Maker", "Public Health", "Reaction", "Recommendation", "Research", "Research Personnel", "Schools", "Shapes", "Symptoms", "Translating", "Voice", "Youth", "behavioral health", "caregiving", "comparison group", "data centers", "design", "experience", "gun violence", "high risk", "improved", "life history", "multidisciplinary", "opioid epidemic", "parental monitoring", "post-traumatic stress", "prevent", "racial difference", "sociodemographic group", "substance use", "suicidal", "syndemic", "theories", "transition to adulthood", "young adult" ], "approved": true } }, { "type": "Grant", "id": "15857", "attributes": { "award_id": "1R01HD119223-01", "title": "Improving student mental health through a universal trauma-informed intervention: Testing effectiveness and implementation of RAP Club", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)" ], "program_reference_codes": [], "program_officials": [ { "id": 44281, "first_name": "VALERIE", "last_name": "MAHOLMES", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-09-10", "end_date": "2030-06-30", "award_amount": 661489, "principal_investigator": { "id": 12477, "first_name": "Tamar", "last_name": "Mendelson", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 344, "ror": "https://ror.org/00za53h95", "name": "Johns Hopkins University", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 2615, "ror": "", "name": "JOHNS HOPKINS UNIVERSITY", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "ABSTRACT. The COVID-19 pandemic exacerbated adolescent mental health problems and worsened disparities in their prevalence. While universal evidence-based school mental health programs are an effective way to reduce and prevent youth mental health issues, few such programs are, in fact, used in schools. Translation of research into practice averages 17 years, and most evidence-based programs are never sustainably adopted in real-world settings due to implementation barriers. RAP (Relax, Aware, Personal rating) Club is an evidence-based intervention to improve mental health among 8th grade students. Due to its trauma- informed approach and combination of mindfulness and cognitive behavioral skills, RAP Club is appropriate for 8th graders who have been exposed to chronic stress and trauma. Our team’s randomized control trial (RCT) in 29 urban public schools showed that, compared with an active control condition, RAP Club reduced symptoms of post-traumatic stress (PTSD), depression, and anxiety, as well as behavior problems, during the transition into high school. In the RCT, RAP Club sessions were delivered by research staff, which is not a sustainable or scalable delivery model. Thus, the objective of this type II hybrid effectiveness-implementation study is to test RAP Club’s delivery by school personnel, using a randomized factorial experiment to identify the most effective implementation approaches. We will examine the performance of two factors: (1) facilitator expertise (school personnel with versus without mental health expertise) and (2) supervision level (standard versus enhanced). Using a 2x2 factorial design, we will test four conditions that represent all combinations of these two factors. This design will allow us to identify the conditions that improve student mental health, strategically balanced by data on their implementation constraints (e.g., cost). We will test the impact of each of these four conditions on student PTSD symptoms (primary outcome) and anxiety symptoms, depressive symptoms, and behavior problems (secondary outcomes) at post-test and 4- and 12-month follow-ups (Aim 1: Effectiveness outcomes). For each of the four conditions, we will also evaluate cost, cost-effectiveness, and fidelity of implementation, as well as feasibility and acceptability (Aim 2: Implementation outcomes). Potential moderators of the effectiveness and implementation outcomes will be explored for each of the four conditions, including characteristics of schools (size, % low-income students), students (sex, trauma exposure), and facilitators (sex, years in profession) (Exploratory Aim 3: Potential Moderators). Findings will be used to create a toolkit that presents effectiveness and implementation data for each of the four conditions to guide education leaders in selecting strategies that maximize their current resources. Use of a factorial design to test program implementation strategies offers a novel and efficient model for streamlining translation of research into school- based practice. Findings will advance the science on school mental health interventions and will boost RAP Club’s potential for widespread adoption.", "keywords": [ "Address", "Adolescent", "Adopted", "Adoption", "Anxiety", "Attention", "Awareness", "Baltimore", "Behavioral", "COVID-19 pandemic", "Characteristics", "Child Health", "Chronic stress", "Cities", "Clinical", "Cognitive", "Communities", "Cost Analysis", "Data", "Disparity", "Education", "Effectiveness", "Enrollment", "Evidence based intervention", "Evidence based program", "Exposure to", "Future", "Health", "Human Resources", "Hybrids", "Instruction", "Intervention", "Intervention Trial", "Low income", "Mental Depression", "Mental Health", "Methods", "Modeling", "National Institute of Child Health and Human Development", "Perception", "Performance", "Personal Satisfaction", "Persons", "Positioning Attribute", "Post-Traumatic Stress Disorders", "Poverty", "Prevalence", "Problem behavior", "Professional Role", "Public Health", "Randomized", "Randomized Controlled Trials", "Reach Effectiveness Adoption Implementation and Maintenance", "Relaxation", "Research", "Resources", "Schools", "Science", "Strategic Planning", "Students", "Supervision", "Symptoms", "Testing", "Translational Research", "Translations", "Trauma", "Urban Community", "Violence", "Work", "Youth", "acceptability and feasibility", "active control", "adolescent health", "adolescent mental health", "anxiety symptoms", "coping", "cost", "cost effectiveness", "depressive symptoms", "design", "education research", "effectiveness outcome", "effectiveness testing", "effectiveness/implementation study", "eighth grade", "emotion regulation", "evidence base", "experimental study", "health disparity", "health economics", "high school", "implementation barriers", "implementation fidelity", "implementation outcomes", "implementation science", "implementation strategy", "improved", "innovation", "marginalization", "mindfulness", "novel", "post-traumatic symptoms", "prevent", "primary outcome", "programs", "psychoeducation", "reduce symptoms", "research to practice", "scale up", "secondary outcome", "sex", "skills", "student participation", "tool", "transition to adulthood", "trauma exposure", "universal prevention", "urban school" ], "approved": true } }, { "type": "Grant", "id": "15856", "attributes": { "award_id": "1R43AG094486-01", "title": "Characterizing neurocognitive deficits in post-acute sequelae of COVID-19", "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": 44278, "first_name": "DAVID WITT", "last_name": "FRANKOWSKI", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-09-16", "end_date": "2027-05-31", "award_amount": 325672, "principal_investigator": { "id": 44279, "first_name": "Jennifer", "last_name": "Graves", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 44280, "first_name": "Amir Hossein", "last_name": "Meghdadi", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 3381, "ror": "", "name": "ADVANCED BRAIN MONITORING, INC.", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Post-acute sequelae of COVID-19 (PASC), or Long COVID, is an emerging global health crisis with an urgent need for objective assessment tools to quantify neurocognitive deficits. This proposal aims to validate and leverage a novel mobile electroencephalography (EEG) platform to provide accessible, cost-effective cognitive assessments for individuals suffering from neurological manifestations of PASC (nPASC). Our preliminary data suggests that EEG/event-related potential (ERP) biosignatures, including delayed neural responses during auditory and memory tasks, are sensitive to cognitive impairments in nPASC. However, the trajectory and specificity of these deficits remain unclear. This study will validate these preliminary findings in a larger cohort (n=52) and longitudinally monitor changes over one year to map recovery or detect early signs of persistent cognitive decline. The innovative approach integrates resting-state EEG with multiple task-based ERP protocols, enabling comprehensive profiling of neural dysfunction associated with nPASC. Leveraging Advanced Brain Monitoring's FDA-cleared mobile EEG platform and validated analysis pipelines will provide a scalable solution for widespread clinical use and remote assessments. If successful, this study will deliver a quantitative EEG/ERP biomarker profile specific to neuro-PASC, enabling objective evaluation of cognitive deficits. Longitudinal monitoring will elucidate the natural trajectory, identify potential risk factors for persistent impairment, and provide outcome measures for future therapeutic interventions. This innovative diagnostic tool will empower patients and clinicians by providing objective evidence of nPASC severity and treatment efficacy.", "keywords": [ "2019-nCoV", "Acute", "Address", "Age", "Algorithms", "Alzheimer's Disease", "Anxiety", "Assessment tool", "Attention", "Auditory", "Brain", "COVID-19", "COVID-19 patient", "COVID-19 severity", "COVID-19 treatment", "Central Nervous System", "Clinical", "Cognition", "Cognitive", "Cognitive deficits", "Control Groups", "Data", "Diagnosis", "Early Diagnosis", "Electroencephalography", "Empirical Research", "Evaluation", "Event-Related Potentials", "Exhibits", "Fatigue", "Future", "Health Professional", "Heterogeneity", "High Prevalence", "Impaired cognition", "Impairment", "Individual", "Infection", "Long COVID", "Maps", "Memory", "Mental Depression", "Methods", "Modality", "Monitor", "Nature", "Neurocognitive Deficit", "Neurologic", "Neurologic Symptoms", "Neuronal Dysfunction", "Outcome", "Outcome Measure", "Participant", "Pathway interactions", "Patient Self-Report", "Patients", "Phase", "Pilot Projects", "Post-Acute Sequelae of SARS-CoV-2 Infection", "Process", "Protocols documentation", "Public Health", "Quality of life", "Random Allocation", "Recovery", "Reporting", "Reproducibility", "Research", "Rest", "Risk", "Risk Factors", "Sample Size", "Self Assessment", "Severities", "Specificity", "Statistical Models", "Symptoms", "Techniques", "Technology", "Therapeutic Intervention", "Time", "Treatment Efficacy", "Validation", "Visit", "analysis pipeline", "auditory processing", "biomarker identification", "biosignature", "case control", "cognitive task", "cognitive testing", "cohort", "cost effective", "cost efficient", "data acquisition", "design", "diagnostic tool", "effective intervention", "empowerment", "epidemiology study", "executive function", "experience", "follow-up", "global health", "innovation", "machine learning model", "mild cognitive impairment", "neural", "neural correlate", "neurologic sequelae of COVID-19", "neuropathology", "neurophysiology", "neuropsychiatry", "novel", "post-COVID-19", "potential biomarker", "primary endpoint", "remote assessment", "response", "specific biomarkers", "symptomatology", "therapy development", "trend", "visual memory" ], "approved": true } }, { "type": "Grant", "id": "15855", "attributes": { "award_id": "1R01AG096598-01", "title": "The Effects of Declining Nursing Home Capacity on Post-Acute and Long-Term Care Access and Health Outcomes among Older Adults and their Caregivers", "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": 44276, "first_name": "PRISCILLA JOY", "last_name": "NOVAK", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-09-01", "end_date": "2030-05-31", "award_amount": 641856, "principal_investigator": { "id": 44277, "first_name": "Brian", "last_name": "McGarry", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 2634, "ror": "", "name": "UNIVERSITY OF ROCHESTER", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "Nursing homes are cornerstones of the US post-acute and long-term care systems, serving over 4 million older adults, more than half of whom have Alzheimer’s disease or Alzheimer’s related dementias (AD/ADRD). Despite their importance, older adults’ access to these facilities may be approaching a state of crisis. The Covid-19 pandemic disrupted the nursing home industry and resulted in historic and persistent staffing shortages, raising concerns that many facilities may be forced to reduce capacity or close entirely. Our preliminary data analyses indicate these concerns are well-founded. We estimate that functional nursing home capacity has declined by nearly 10% following the pandemic, with nearly 40% of US counties experiencing a decline of 15% or more. The implications of these capacity declines are not well understood but have the potential to be catastrophic. For example, inadequate nursing home capacity may result in disrupted care transitions and slowed recovery following hospitalization, patients languishing in hospitals while awaiting a nursing home bed, increased risk of injuries from inadequate personal care, and increased strain on family caregivers who often fill in the gaps when care is provided at home. Policymakers have several tools at their disposal to stabilize or expand the nursing home market, including increasing payment rates, removing barriers to new market entrants, and increasing financial incentives to provide care in shortage areas and/or to patients with reduced access. However, there is a glaring evidence gap regarding the need to intervene, the types of interventions needed, and where these interventions should be targeted. Our proposal will close this knowledge gap with rigorous quantitative analyses that will determine the effects of reduced nursing home capacity on three populations. In Aim 1, we will use Centers for Medicare and Medicaid Services (CMS) administrative data and hospital-level variation in the extent of post-pandemic nursing home capacity declines to estimate effects on the care transitions and recovery of hospitalized patients, with and without AD/ADRD, with intensive post-acute care needs. In Aim 2, we will use similar data and county-level variation in capacity declines to estimate effects on care access and injury risk for community-dwelling older adults with increasing long-term care needs, as signified by a new AD/ADRD diagnosis. Aim 3 will estimate spillover effects on spousal caregivers of older adults with post-acute or long-term care needs. It will use household-level survey data linked with CMS data to identify couples and track spousal care delivery and health outcomes following a partner’s hospitalization or diagnosis of a chronic condition, including AD/ADRD. Geographic information will be used to identify exposure to post-pandemic nursing home capacity loss. Results from this proposal will provide a comprehensive portrait of current US nursing home capacity and the ability of this market to meet the institutional care needs of an aging population. Results will also support policymakers’ efforts to ensure equitable access to nursing home care, regardless of geography or patient type.", "keywords": [ "Acute", "Admission activity", "Affect", "Aging", "Alzheimer's Disease", "Alzheimer's disease related dementia", "Area", "Beds", "COVID-19 pandemic", "Caregivers", "Caring", "Chronic", "Communities", "Country", "County", "Couples", "Data", "Data Analyses", "Diagnosis", "Emergency department visit", "Ensure", "Equity", "Exposure to", "Family Caregiver", "Geography", "Goals", "Growth", "Health", "Health Services Accessibility", "Health and Retirement Study", "Home", "Home Nursing Care", "Hospitalization", "Hospitals", "Household", "Individual", "Industry", "Injury", "Institution", "Interdisciplinary Study", "Intervention", "Knowledge", "Length of Stay", "Link", "Long-Term Care", "Marketing", "Measures", "Medicare/Medicaid", "Mental Health", "Methods", "Nursing Homes", "Outcome", "Patient Preferences", "Patient-Focused Outcomes", "Patients", "Persons", "Policies", "Policy Maker", "Population", "Portraits", "Recovery", "Recovery of Function", "Research", "Risk", "Self Care", "Spouse Caregiver", "Surveys", "Time", "US State", "United States Centers for Medicare and Medicaid Services", "Variant", "access restrictions", "acute care", "aging population", "care delivery", "care systems", "caregiver strain", "community based service", "cost", "experience", "fall injury", "financial incentive", "geographic difference", "hospital readmission", "innovation", "nursing home length of stay", "older adult", "pandemic disease", "pandemic disruption", "pandemic impact", "payment", "physical conditioning", "poor health outcome", "post-pandemic", "rehabilitative care", "tool" ], "approved": true } }, { "type": "Grant", "id": "15854", "attributes": { "award_id": "1C06OD039902-01", "title": "Upgrading Institutional Capacity with a BSL-3 Facility for Multidisciplinary Biomedical Research", "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": 44275, "first_name": "MONIKA", "last_name": "AGGARWAL", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-09-15", "end_date": "2028-03-31", "award_amount": 7947160, "principal_investigator": { "id": 6975, "first_name": "Margaret Juliana", "last_name": "McElrath", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 757, "ror": "", "name": "FRED HUTCHINSON CANCER RESEARCH CENTER", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 2062, "ror": "", "name": "FRED HUTCHINSON CANCER CENTER", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "Project Summary/Abstract: The Fred Hutchinson Cancer Center (Fred Hutch) proposes the construction of an Enhanced Biosafety Level 3 (BSL-3)/Animal BSL-3 facility to address critical gaps in regional capacity for high-containment research on pathogens of significant public health concern, particularly Highly Pathogenic Avian Influenza (HPAI) and other emerging infectious agents. Despite Fred Hutch’s leadership in infectious disease research, the absence of an on-site BSL-3 facility limits the institution’s ability to fully support multidisciplinary biomedical research and respond rapidly to outbreaks. Notably, Seattle Children’s Research Institute lacks shower-out and effluent decontamination systems, and the University of Washington’s BSL-3 facility also lacks an effluent decontamination system. The proposed 5,145-square-foot facility, located on the Fred Hutch campus in Seattle, Washington, will incorporate next-generation biosafety features, including a shower-out system, an Effluent Decontamination System (EDS), and dedicated containment zones. The design includes flexible laboratory spaces, specialized areas for pathogen-specific research, and advanced facilities for automation, flow cytometry and waste processing. These features ensure compliance with NIH, CDC and USDA biosafety standards, further enabling cutting-edge research. This next-generation BSL-3 facility will serve as a regional hub for collaboration, leveraging expertise from Seattle Children’s Research Institute, the University of Washington, and other stakeholders. By applying lessons from the COVID-19 pandemic and expanding research capacity for high-priority pathogens, the facility will strengthen public health preparedness, support sustainable infrastructure, and bolster the Seattle area’s leadership in infectious disease research. The project directly aligns with Fred Hutch’s mission to advance global health and biomedical innovation by providing critical infrastructure to address pathogens which cause severe disease in our immunocompromised transplant patients as well as emerging infectious disease challenges. Its construction will position Fred Hutch and its partners as leaders in collaborative and high-impact research, driving long-term scientific and public health advancements.", "keywords": [ "Address", "Animals", "Area", "Automation", "Automobile Driving", "Avian Influenza", "Biomedical Research", "COVID-19 pandemic", "Cancer Center", "Child", "Collaborations", "Containment", "Decontamination", "Dedications", "Disease", "Disease Outbreaks", "Emerging Communicable Diseases", "Ensure", "Flow Cytometry", "Immunocompromised Host", "Infectious Agent", "Infectious Diseases Research", "Infrastructure", "Institution", "Laboratories", "Leadership", "Mission", "Pathogenicity", "Positioning Attribute", "Public Health", "Readiness", "Research", "Research Institute", "Site", "System", "Transplant Recipients", "United States Department of Agriculture", "United States National Institutes of Health", "Universities", "Washington", "biosafety level 3 facility", "design", "flexibility", "global health", "innovation", "institutional capacity", "multidisciplinary", "next generation", "pathogen", "priority pathogen", "square foot", "wasting" ], "approved": true } }, { "type": "Grant", "id": "15853", "attributes": { "award_id": "1F31NS143332-01", "title": "Early life influenza infection and glial dysregulation", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Neurological Disorders and Stroke (NINDS)" ], "program_reference_codes": [], "program_officials": [ { "id": 44273, "first_name": "JENNY LILY", "last_name": "KIM", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-09-01", "end_date": "2028-08-31", "award_amount": 49538, "principal_investigator": { "id": 44274, "first_name": "Karen Elizabeth", "last_name": "Malacon", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 3380, "ror": "", "name": "STANFORD UNIVERSITY", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Millions of children in the United States contract respiratory infections such as influenza, RSV, and COVID-19 every year, with those under the age of five affected the most severely1,2. Respiratory infections can have long- term effects on the central nervous system in both adults and children3–11. In fact, currently, 6 million children are suffering from long COVID, and up to 44% of these children experience cognitive impairment3. Childhood is a critical period for synaptic formation and myelination, making the brain particularly vulnerable to insults that can lead to permanent and long-lasting neurocognitive changes12. In rodents, postnatal day (P)14 is a crucial period of peak synaptogenesis and myelination12–14. As a result, during this time, a respiratory immune challenge such as influenza can result in persistent neurodevelopmental dysfunction. While many studies have investigated the neurological effects of systemic immune challenges during the prenatal and adult periods15–18, the impact of influenza infection during early postnatal life remains understudied. The proposed study aims to investigate the effect of influenza infection at P14 on glial dysregulation in mice. The overarching hypothesis is that influenza infection results in multicellular dysfunction driven by aberrant microglia. My preliminary data show that influenza infection at P14 leads to an increase in reactive microglia one-week post-infection in the cingulum and dentate gyrus, along with elevated expression of inflammatory genes in microglia as revealed by single-nuclei RNA sequencing. I will employ advanced transcriptomic analysis to examine changes in glial sub-states, and to identify alterations in synapse/pruning-associated genes (Aim 1A). Additionally, changes in microglia-mediated synaptic pruning will be assessed using Imaris 3D reconstructions to quantify microglial engulfment of synapses following infection. My preliminary findings indicate that influenza infection results in a decrease in OPCs and oligodendrocytes in the cingulum and dentate gyrus one-week post-infection. I will use an established optogenetics paradigm19,20 to stimulate excitatory dentate gyrus neurons and test for changes in activity- dependent myelination following infection (Aim 2). Finally, based on the hypothesis that reactive microglia dysregulate oligodendroglial dynamics, microglia will be depleted between P7-P21 to determine if this rescues the observed loss of oligodendroglial cells (Aim 3). Given my experiences investigating the impact of prenatal environmental immune challenges on microglia and behavior, I am well-prepared to execute these experiments. This work will be conducted under the sponsorship of Michelle Monje, MD/PhD, a leading expert in glial-neuron interactions and myelin plasticity. The co-sponsorship of Catherine Blish, MD/PhD, will ensure comprehensive guidance on virologic aspects, and collaborations with Karl Deisseroth, MD/PhD, Akiko Iwasaki, PhD, and Beth Stevens, PhD, will provide the necessary support to successfully achieve the aims of this project. Stanford's rigorous training environment and the collective support from these experts will ensure the project's success and my growth into an innovative physician-scientist capable of developing therapies for neuroimmune diseases.", "keywords": [ "3-Dimensional", "Adult", "Affect", "Age", "Axon", "Behavior", "Brain", "COVID-19", "COVID-19 pandemic", "CSF1R gene", "Cd68", "Cell Lineage", "Cells", "Central Nervous System", "Child", "Childhood", "Cognitive", "Collaborations", "Contracts", "Data", "Data Set", "Development", "Doctor of Philosophy", "Ensure", "Environment", "Functional disorder", "Future", "Genes", "Goals", "Growth", "Homeostasis", "Hospitalization", "Immune", "Immunohistochemistry", "Impaired cognition", "Infection", "Inflammatory", "Influenza", "Institution", "Intraperitoneal Injections", "Life", "Light", "Long COVID", "Long-Term Effects", "MHC Class I Genes", "Mediating", "Microglia", "Mus", "Myelin", "Neurobiology", "Neurocognitive", "Neuroimmune", "Neurologic Effect", "Neurons", "Oligodendroglia", "Parahippocampal Gyrus", "Physicians", "Physiologic pulse", "Play", "Process", "Proliferating", "Research", "Respiratory System", "Respiratory Tract Infections", "Rodent", "Role", "Scientist", "Synapses", "Testing", "Time", "Training", "Transmission Electron Microscopy", "United States", "Virus", "Work", "age group", "chemokine", "confocal imaging", "critical period", "cytokine", "density", "dentate gyrus", "experience", "experimental study", "influenza infection", "inhibitor", "innovation", "myelination", "neural circuit", "neurodevelopment", "neurogenesis", "neuroimmunologic disease", "neuroimmunology", "oligodendrocyte differentiation", "oligodendrocyte progenitor", "optogenetics", "postnatal", "prenatal", "reconstruction", "respiratory", "single nucleus RNA-sequencing", "skills", "success", "synaptic pruning", "synaptogenesis", "therapy development", "transcriptomics" ], "approved": true } }, { "type": "Grant", "id": "15852", "attributes": { "award_id": "4R00AA031315-02", "title": "Characterization of acetaldehyde-protein adducts in alcohol-associated liver disease", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute on Alcohol Abuse and Alcoholism (NIAAA)" ], "program_reference_codes": [], "program_officials": [ { "id": 44271, "first_name": "LI", "last_name": "LIN", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-09-23", "end_date": "2028-08-31", "award_amount": 249000, "principal_investigator": { "id": 44272, "first_name": "Bryan R.", "last_name": "Mackowiak", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 3379, "ror": "", "name": "EAST TENNESSEE STATE UNIVERSITY", "address": "", "city": "", "state": "TN", "zip": "", "country": "United States", "approved": true }, "abstract": "Ethanol consumption has been on the rise throughout the COVID-19 pandemic and one of the major consequences has been a surge in alcohol-associated liver disease (ALD), especially severe alcoholic hepatitis (sAH). sAH is a life-threatening condition with 30-day patient mortality greater than 30%, limited treatment options, and often requires a liver transplant. There is an urgent need to identify novel mechanisms of ALD progression that are potential targets for treatment. The ethanol metabolite acetaldehyde (AcH) is known to form adducts on lysine residues within proteins, which affect protein function. Many proteins are known to bind to AcH, but no one has characterized the overall composition or downstream effects of these protein modifications on the pathogenesis of ALD. Albumin is one of the major proteins known to bind to AcH, and these AcH adducts mostly occur on the many exposed lysine residues throughout the albumin molecule. The fact that a single albumin can bind many AcH molecules combined with albumin being the most abundant protein in the liver and circulation means that albumin may act as a “sponge” for excess AcH. Therefore, any decrease in albumin levels may lead to increased modification of other proteins, having deleterious effects on ethanol-induced organ injury. My preliminary data shows that plasma albumin levels are decreased in heavy drinkers compared to control subjects in the absence of liver dysfunction. In albumin-deficient mice, ethanol feeding leads to decreased lymphocyte accumulation in the liver, but the mechanism is unknown. This project is designed to test the overarching hypothesis that albumin alters the distribution of AcH-protein adducts after ethanol consumption, modulating lymphocyte function in ALD. In Aim 1 (K99 phase) I will receive training from my mentor, Dr. Bin Gao, to determine how AcH and albumin regulate lymphocyte function. In Aim 2 (K99 phase), I will receive training in proteomic methods and analysis from my committee member Dr. Fritz to characterize the AcH-protein adductome in immune cells and albumin-deficient mice. In Aim 3 (R00 phase), I will use the training from the K99 phase to analyze public proteomic datasets and identify specific AcH-protein adducts that are present in patients with ALD. I will utilize cellular models to determine how these modifications impact immune cell and hepatocyte functions in the context of ALD. This project will provide a framework for how AcH-protein adducts modulate ALD using albumin as a model protein. The training provided by this grant will provide the PI with a strong foundation to achieve his long-term goal of identifying systemic mediators of ethanol-induced liver injury to develop therapeutics that protect against alcohol-induced injury in multiple ways. The NIAAA will provide an ideal environment for cross-disciplinary training and the necessary resources to transition to independence.", "keywords": [ "Acetaldehyde", "Address", "Affect", "Albumins", "Alcohol consumption", "Alcohol-Induced Disorders", "Alcoholic Hepatitis", "Alcoholic Liver Diseases", "Alcoholic beverage heavy drinker", "Amino Acids", "Binding", "CD3 Antigens", "COVID-19 pandemic", "Cell Physiology", "Cell model", "Cells", "Chronic", "Circulation", "Coculture Techniques", "Committee Members", "Cytoskeleton", "Data", "Data Analyses", "Data Set", "Defect", "Development", "Disease Progression", "Environment", "Ethanol", "Ethanol Metabolism", "Event", "Exhibits", "Foundations", "Goals", "Grant", "Hepatocyte", "Human", "Immune", "Impairment", "Infiltration", "Inflammation", "Life", "Liver", "Liver Dysfunction", "Liver diseases", "Lymphocyte", "Lymphocyte Count", "Lymphocyte Function", "Lysine", "Mediating", "Mediator", "Mentors", "Methods", "Modeling", "Modification", "Mus", "National Institute on Alcohol Abuse and Alcoholism", "Pathogenesis", "Patients", "Persons", "Phase", "Plasma", "Plasma Albumin", "Play", "Population", "Porifera", "Post-Translational Protein Processing", "Pre-Clinical Model", "Proliferating", "Proteins", "Proteomics", "Resources", "Role", "Sampling", "Splenocyte", "T-Lymphocyte", "Testing", "Therapeutic", "Training", "Work", "adduct", "alcohol use disorder", "comparison control", "design", "feeding", "immunoregulation", "liver injury", "liver metabolism", "liver transplantation", "mortality", "mouse model", "novel", "organ injury", "protein function" ], "approved": true } }, { "type": "Grant", "id": "15850", "attributes": { "award_id": "1R01HL181348-01", "title": "Emulated Target Trials and Phenotyping in Patients with Acute Respiratory Distress Syndrome", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Heart Lung and Blood Institute (NHLBI)" ], "program_reference_codes": [], "program_officials": [ { "id": 44269, "first_name": "GUOFEI", "last_name": "ZHOU", "orcid": "", "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2025-09-23", "end_date": "2027-08-31", "award_amount": 1479335, "principal_investigator": { "id": 27913, "first_name": "Elias", "last_name": "Baedorf Kassis", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 32134, "first_name": "Li-Wei H", "last_name": "Lehman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, { "id": 32135, "first_name": "Zachary", "last_name": "Shahn", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 3377, "ror": "", "name": "MASSACHUSETTS INSTITUTE OF TECHNOLOGY", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "Acute respiratory distress syndrome (ARDS) is a severe form of lung injury with significant public health implications due to severe morbidity and mortality. The need to utilize existing data to inform prospective research and clinical decision making was emphasized during the COVID pandemic, when ARDS became a leading cause of death, and clinicians were forced to operate outside of existing evidence. Many commonly applied interventions including use of neuromuscular blockade (NMB), steroids, driving pressure and mechanical power are used despite negative data, without high quality prospective studies or with equivocal evidence and with the potential for both benefit or harm. Additionally, phenotypes of ARDS may have different prognosis and response to treatment, but thus far have not been well differentiated using routinely available dynamic clinical data, nor have they been incorporated into prospective trials. ‘Dynamic treatment regimes’ (DTRs) are rules for making treatment decisions sequentially at multiple time-points based on a patient’s evolving history. Most relevant treatment strategies for ARDS are DTRs. DTRs may be evaluated in randomized trials, however it is infeasible to conduct randomized trials testing all DTRs of interest. This grant proposes ‘target trial emulation’ from observational data using ‘g-methods’ for confounding adjustment to address multiple gaps in our knowledge about ARDS care. We will address important methodological gaps in ARDS phenotyping and develop advanced machine learning (ML) methods for dynamic phenotyping for prognostication and personalized DTRs to determine for whom and when specific ARDS treatments are beneficial. The investigation will utilize three large datasets—including the Medical Information Mart for Intensive Care (MIMIC) IV database, the eICU collaborative research database, and the Dutch AmsterdamUMCdb database—representing a wide geographic and demographic spectrum, and the ability to assess stability of findings across geography and centers. To address these knowledge gaps regarding use of NMB, steroids, driving pressure and mechanical power, as well as identify phenotypes of patients most responsive to treatment, we propose two overarching aims for this grant. Specific Aim 1) Using target trial emulations and g-methods, we will estimate clinical outcomes that would result under a range of treatment strategies for NMB, steroids as well as driving pressure and mechanical power thresholds. Specific Aim 2) We will develop machine learning methods to derive dynamic markers for ARDS phenotyping and formulate personalized DTRs for ARDS treatment. The project represents a collaborative effort between experts in critical care medicine (with a specialty in mechanical ventilation), machine learning, and causal inference. Our results will address important gaps in clinical knowledge about treatment of ARDS and inform the design of future randomized trials. Our study designs, code, and constructed cohorts will also provide valuable templates for other researchers to use in future observational studies, which we foresee will broadly improve the quality of evidence from observational data in critical care.", "keywords": [ "Acute Respiratory Distress Syndrome", "Address", "Attenuated", "Automobile Driving", "COVID-19 pandemic", "Caring", "Cause of Death", "Cessation of life", "Clinical", "Clinical Data", "Clinical Trials", "Code", "Critical Care", "Data", "Data Science", "Data Set", "Databases", "Death Rate", "Decision Making", "Disease Marker", "Dose", "Effectiveness", "Enrollment", "Future", "Geography", "Grant", "Heterogeneity", "Hospital Mortality", "Induction of neuromuscular blockade", "Inflammation", "Intensive Care", "International", "Intervention", "Investigation", "Joints", "Knowledge", "Learning", "Light", "Machine Learning", "Mechanical ventilation", "Mechanics", "Mediating", "Medical", "Medicine", "Meta-Analysis", "Methodology", "Methods", "Modeling", "Morbidity - disease rate", "Observational Study", "Outcome", "Output", "Patient Monitoring", "Patients", "Phenotype", "Physicians", "Physiological", "Prognosis", "Prospective Studies", "Public Health", "Recording of previous events", "Research", "Research Design", "Research Personnel", "Resources", "Sedation procedure", "Sequential Treatment", "Severity of illness", "Steroids", "Syndrome", "Testing", "Therapeutic Intervention", "Tidal Volume", "Time", "Ventilator", "base", "clinical decision-making", "cohort", "common treatment", "continuous monitoring", "design", "effective intervention", "effective therapy", "improved", "improved outcome", "interest", "large datasets", "lung injury", "machine learning method", "medical specialties", "mortality", "pressure", "prognostication", "prospective", "randomized trial", "respiratory", "response", "risk stratification", "statistical and machine learning", "treatment effect", "treatment response", "treatment strategy", "ventilation" ], "approved": true } } ], "meta": { "pagination": { "page": 5, "pages": 1419, "count": 14184 } } }