Project Grant R21HL181630
- This federal Project Grant award, totaling $753,813 and provided by the National Heart Lung and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research), supports research to develop novel machine learning techniques for predicting cardiovascular outcomes in patients with clonal hematopoiesis of indeterminate potential (CHIP). The key goals are to use cardiac MRI imaging and genomic data to: 1) Develop a machine learning model to accurately identify CHIP patients and predict their risk...
- This Project Grant award from the National Heart Lung and Blood Institute, under the Cardiovascular Diseases Research federal grant program (CFDA 93.837), provides $186,408 to the University of Washington to develop robust models that identify patients at high risk for persistent hypoxemic respiratory failure (HRF). The goal is to improve the ability to distinguish patients with persistent HRF early, which is critical for enrolling the highest-risk patients in clinical trials for new HRF...
- This Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) is funding research to discover novel biomarkers and biological mechanisms underlying early-stage heart failure (HF). The $147,486 award to Duke University will support the development of an automated computational phenotype to identify early-stage HF, which will then be applied to large population cohorts. The research aims to leverage multi-omics data integration and...
- This Project Grant award of $142,870 from the National Heart Lung and Blood Institute (CFDA 93.837 - Cardiovascular Diseases Research) supports Emory University's investigation into the multi-level determinants of inequities in end-of-life care for adults with heart failure. The key objectives are to: Characterize the influence of individual and hospital-level factors on end-of-life heart failure care through hierarchical multiple regression analysis. Quantify the impact of neighborhood-based...
- This federal Project Grant award of $738,154 from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) aims to develop a novel mortality risk prediction model to accurately assess mortality risk for ICU patients across all patient groups. The key objectives are to: (1) identify mechanisms of systematic measurement error in commonly used ICU mortality risk prediction models, and (2) develop an accurate ICU mortality risk prediction model. The project will...
- This $540,771 Project Grant award from the National Heart, Lung, and Blood Institute under the Cardiovascular Diseases Research program (CFDA 93.837) is for the project "Personalized Stroke Risk Stratification in Atrial Fibrillation: Integrating Probabilistic Graphical Models and High-Dimensional EHR Data for Interpretable Prognosis." The award supports research to develop a personalized, socially-aware risk stratification tool to improve stroke prevention among patients with atrial...
- The National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health, awarded a $756,228 project grant under the Cardiovascular Diseases Research program (CFDA 93.837) to the University of Florida (UF) to develop an AI-enabled model to better predict outcomes for patients with chronic limb-threatening ischemia (CLTI) who undergo revascularization procedures. The project aims to supplement electronic health record and clinical notes data with prospectively collected...
- This federal Project Grant award of $169,344 from the National Heart Lung and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) aims to advance the management of critically ill adults with non-ARDS acute hypoxemic respiratory failure (NAHRF). The key objectives are to: 1) Develop clinical prediction models for mortality in NAHRF patients; 2) Apply machine learning to detect NAHRF subphenotypes associated with differential clinical outcomes; and 3) Use sequencing-based whole...
- This $146,013 Project Grant award from the National Heart Lung and Blood Institute under the Cardiovascular Diseases Research program (CFDA 93.837) will be used by The Medical College of Wisconsin, Inc. to establish a large patient cohort leveraging electronic health record and administrative claims data to determine the risks of cardiopulmonary and renal end organ complications and factors associated with frequent acute care use among individuals with sickle cell disease. The award period...
- This federal Project Grant award of $110,635.00 from the National Heart Lung and Blood Institute (CFDA 93.837 - Cardiovascular Diseases Research) aims to characterize how red blood cell aggregation and membrane deformability affect endothelial cell injury and microvascular thrombosis in sepsis patients. The project will use microfluidics assays to analyze patient blood samples and apply machine learning to determine the impact of rheology on clinical outcomes. The research will also assess the...
This Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) provides $232,498 to Emory University to develop a natural language processing and machine learning model to analyze electronic health records and predict risk of Fontan failure in patients with single ventricle heart defects. The goal is to improve detection of multi-organ complications in this population and define physiologic phenotypes to enable more targeted treatment options. The project will leverage data from pediatric and adult electronic health records to create an annualized risk prediction model applicable across age, sex, race, and ethnicity. This research aims to address the significant morbidity and mortality associated with Fontan palliation for rare single ventricle congenital heart defects.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $232.5k | 8/9/25 |