This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award supports the development of a novel device that can rapidly and automatically extract pathogen DNA from whole blood samples to enable faster diagnosis of sepsis. The $274,858 award to New England Hemolytics, Inc., with a project period from September 1, 2024 to February 28, 2025, will fund the testing and optimization of this technology across common sepsis-causing pathogens. The...
This $444,506 federal Project Grant award from the National Institute of Allergy and Infectious Diseases (CFDA 93.855 - Allergy and Infectious Diseases Research) aims to develop a human-centered artificial intelligence (HCAI) system to enhance early prediction and decision-making for sepsis in clinical settings. The key products and services to be delivered include: 1) creating a deidentified database of electronic health records for patients at risk of sepsis; 2) developing machine learning...
This Project Grant award from the National Institute of Allergy and Infectious Diseases (NIAID), under the Allergy and Infectious Diseases Research program (CFDA 93.855), aims to develop personalized sepsis therapeutics by integrating high-frequency physiologic data with electronic health record data. The $186,221 award, effective from February 1, 2025 to January 31, 2030, will support three primary research objectives: Augmenting sepsis phenotypes through the inclusion of high-frequency...
This Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) provides $2,378,837 in funding to the University of Massachusetts to develop novel nanopore- and click-chemistry-based approaches for accurate detection of sepsis-causing pathogens directly from blood samples. The goal is to create a rapid, user-friendly diagnostic device prototype that can identify sepsis-causing microorganisms within 2...
This $700,000 Project Grant awarded by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) supports the clinical validation of Prenosis, Inc.'s Immunix platform for precision medicine endotyping of sepsis patients. The project aims to: 1) validate Immunoscan immunoassays and generate mapping functions to Luminex immunoassays; 2) validate a parsimonious model for point-of-care endotyping; and 3) demonstrate the...
This National Science Foundation (NSF) Project Grant award under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $298,646 to Anvil Diagnostics Inc. to develop a rapid diagnostic test for sepsis-causing pathogens in plasma samples. The project aims to create a sensitive, comprehensive panel that can identify a wide range of sepsis-causing microbes from small blood volumes, a critical capability for at-risk newborns. The proposed innovations leverage digital...
This $305,000 project grant awarded by the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), supports the development of a clinical decision support system (CDSS) called Sepsis FLO. The CDSS is designed to precisely guide blood volume diagnosis and treatment for sepsis patients. Key activities include: 1) Developing an alpha prototype of the CDSS through user-centered design; 2) Validating three functional...
This federal Project Grant award from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) provides $312,974 to the University of California, San Diego (UCSD) to develop multi-modal foundation models for early detection of sepsis. Over the five-year award period from February 2025 to January 2030, the research team will focus on curating large-scale electronic health record (EHR) data, learning effective...
This $1,218,750 Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) aims to improve sepsis care through the use of artificial intelligence (AI) and machine learning (ML) clinical decision support systems. The key products and services to be delivered under this 5-year award, which starts on July 15, 2024, include: Addressing critical knowledge gaps at the intersection of AI/ML methods and sepsis...
This Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) will support the development of a continuous, real-time, automated smart catheter analyzer for early identification of sepsis through urine biomarkers. The $412,250 award to Arizona State University (ASU) will enable the project team, comprising experts in sensors, engineering, computer science, medical research, and medical device manufacturing, to design and develop the...