Project Grant R01HL184139
- This federal Project Grant award of $708,678, provided by the National Heart, Lung and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research), aims to conduct a Sequential Multiple Assignment Randomized Trial (SMART) to reduce food insecurity and improve adherence in patients with hypertension. The key products and services to be delivered under this grant include: Determining the most effective initial food insecurity intervention (resource information or community health worker...
- This federal Project Grant award, valued at $162,703.00 and granted by the National Heart Lung and Blood Institute (CFDA 93.837 - Cardiovascular Diseases Research), aims to determine whether streamlined, standardized blood pressure (BP) measurement protocols can be implemented in primary care settings. The project builds on the Alabama Cardiovascular Cooperative's Heart Health Improvement Project and seeks to improve the accuracy and efficiency of BP measurements to inform treatment decisions...
- 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...
- This federal Project Grant award, valued at $678,710 and awarded on June 15, 2025, was provided by the National Heart, Lung, and Blood Institute under the Cardiovascular Diseases Research program (CFDA 93.837). The award supports the development and validation of a novel multi-sensor machine learning approach to precision sleep tracking for nightshift workers. The project aims to leverage wearable devices, environmental sensors, and machine learning algorithms to accurately detect sleep patterns...
- 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 federal Project Grant award of $1,479,335.00 from the National Heart Lung and Blood Institute under CFDA 93.837 Cardiovascular Diseases Research aims to leverage observational data and advanced machine learning methods to address gaps in understanding and personalizing treatment for Acute Respiratory Distress Syndrome (ARDS). The key products and services to be delivered include: Developing improved methods for ARDS phenotyping using dynamic clinical data to better understand prognosis...
- 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 federal Project Grant award, provided by the National Heart, Lung, and Blood Institute under the Cardiovascular Diseases Research program (CFDA 93.837), aims to apply state-of-the-art methods to evaluate the effectiveness of mechanical circulatory support (MCS) devices in treating acute myocardial infarction complicated by cardiogenic shock (AMI-CS). The $817,358 award, effective from August 19, 2025 to May 31, 2029, will support the following key activities: Appending individual patient...
- This $702,534 Project Grant from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) supports research at Texas A&M Engineering Experiment Station (Tees) to develop an integrated super-resolution cardiac magnetic resonance imaging-deep learning (CMR-DL) technology. The goal is to isolate and quantify the contributions of passive and active mechanisms to impaired left ventricular relaxation, a key driver of left ventricular diastolic dysfunction...
- The National Heart, Lung, and Blood Institute (NHLBI) awarded a $763,858 Project Grant under the Cardiovascular Diseases Research program (CFDA 93.837) to Brigham & Women's Hospital Inc. (a subsidiary of Partners Healthcare System Inc.) to assess the impact of improving cardiovascular disease (CVD) care for adults with diagnosed diabetes across diverse global settings. The project, led by Dr. Jennifer Manne-Goehler and an interdisciplinary team, aims to develop the PREDICT-DM global...
This federal Project Grant award from the National Heart Lung and Blood Institute under the Cardiovascular Diseases Research program (CFDA 93.837) provides $299,996 to Georgia Tech Research Corporation to develop data-driven Restless Multi-Armed Bandit (RMAB) techniques to optimize public health intervention strategies for diabetes, cardiovascular conditions, and maternal health in the U.S. healthcare system. The award period runs from September 15, 2025 to June 30, 2029. The project aims to integrate real-world data from sources like MIMIC-III, MIMIC-IV, and the All of Us program to enable more precise and efficient allocation of interventions by accounting for patient context, healthcare facility constraints, and policy-driven incentives. The proposed work will leverage machine learning, network analysis, and health economics to bridge the gap between computational decision-making and real-world healthcare applications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 9/15/25 |