Project Grant R21EB040115
- The National Heart, Lung, and Blood Institute awarded Texas A&M Engineering Experiment Station $706,159 on August 19, 2026, under the Cardiovascular Diseases Research program (CFDA 93.837) to develop a smart wearable continuous cuffless blood pressure, cardiac, and respiratory monitoring system agnostic to skin tone. The recipient will design and build an innovative wearable device integrating multiple non-invasive physiological sensors on the wrist to provide health-grade continuous...
- The Department of Health and Human Services National Institutes of Health Office of the Director awarded $529,283 to JB Healthtech, Inc. on September 1, 2026, under the Trans-NIH Research Support program (CFDA 93.310) to develop and advance a dual-mode wearable continuous non-invasive blood pressure monitor for enhanced diagnosis and clinical management of preeclampsia in pregnancy. The recipient is developing NeoBP, a highly accurate continuous non-invasive blood pressure device that operates...
- The National Institute of Biomedical Imaging and Bioengineering awarded the University of Texas at Dallas $499,156 on June 1, 2026, to develop acoustic blood oxygen level dependent (BOLD) imaging technology for noninvasive bedside monitoring of deep brain tissue oxygenation in neonates with hypoxic brain injury. The recipient will design and validate oxygen-responsive ultrasound contrast agents—specifically hemoglobin-filled microbubbles—that function as biosensors to enable real-time,...
- The National Institute of Biomedical Imaging and Bioengineering awarded George Mason University $265,018 on August 15, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop a disposable wearable ultrasound patch for real-time, noninvasive monitoring of cardiac output and blood pressure in neonates and infants following cardiac surgery. The project addresses the absence of continuous hemodynamic monitoring solutions...
- The National Institute of Biomedical Imaging and Bioengineering awarded Rensselaer Polytechnic Institute $366,006 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop a simulation-based inference framework that transforms functional near-infrared spectroscopy (fNIRS) data analysis through artificial intelligence. The project delivers a biophysically detailed simulator integrating realistic models...
- This $200,000 Project Grant awarded by the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under CFDA 47.041 (Engineering) aims to develop and implement a novel testing platform to evaluate the accuracy of wearable photoplethysmography-based blood pressure monitoring devices. The University of Maryland, College Park will construct a bench flow phantom that simulates physiologically relevant blood pressure, blood flow, anatomical, and optical...
- The National Heart, Lung, and Blood Institute awarded East Carolina University $561,100 under the Cardiovascular Diseases Research program (CFDA 93.837) on August 15, 2026 to develop a portable photoplethysmogram (PPG) prototype device and establish a platform method for noninvasive measurement of cardiometabolic disease biomarkers. The research develops a 2-site PPG data acquisition system to derive blood pressure waveform signals and extract biomarker panels including systolic and diastolic...
- The National Institute of Biomedical Imaging and Bioengineering awarded The Johns Hopkins University $126,388 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop directional beamforming auscultation technologies for enhanced diagnosis of cardiopulmonary diseases. The project introduces three innovations to advance auscultation beyond traditional stethoscopes: novel acoustic directional imaging to...
- The National Institute of Biomedical Imaging and Bioengineering awarded The Research Foundation For The State University Of New York (operating as Stony Brook University) $194,819 on August 15, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop and validate a noninvasive imaging framework that integrates fast tagging MRI with deep-learning based pattern recognition to quantify low-frequency cerebrospinal fluid...
- The National Institute of Biomedical Imaging and Bioengineering awarded the Trustees of Boston University $245,250 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop living microbial sensors for continuous biochemical monitoring. The project will engineer and validate a self-renewing cell cartridge that maintains bacterial viability for multiple weeks using passive nutrient diffusion and...
The National Institute of Biomedical Imaging and Bioengineering awarded Rutgers, The State University $235,500 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop BPALERT, a non-invasive, AI-enhanced continuous blood pressure monitoring system for neonates in neonatal intensive care units. The project combines AI-driven blood pressure estimation from photoplethysmography signals with periodic cuff-based measurements to enable continuous, non-invasive, real-time tracking of neonatal blood pressure. Current methods suffer from significant limitations: umbilical arterial catheters provide accurate readings but carry infection and complication risks, while cuff-based oscillometry delivers only intermittent measurements. The proposed approach reframes BP estimation by modeling changes in blood pressure over short intervals rather than predicting absolute values, improving model generalizability by decoupling intra-subject BP dynamics from inter-subject variability. The system incorporates self-explaining AI architecture to highlight signal regions driving predictions, enhancing clinical transparency and trust, and includes an integrated alarm module to detect clinically significant BP fluctuations in real time for early intervention. Aim 1 develops generalizable and interpretable AI-driven photoplethysmography-based BP-estimation models with integrated alerts for adverse events. Aim 2 builds and validates a hybrid BP-monitoring method combining oscillometric baselines with continuous AI-driven BP estimates. Aim 3 assesses clinical validation and implementation. The work is performed at Rutgers' location in Piscataway, New Jersey, with a period of performance through August 31, 2029. The award is classified as a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $235.5k | 8/26/26 |