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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Biomarker-enhanced Artificial Intelligence-Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics

    SBC: COMPUTER TECHNOLOGY ASSOCIATES, INC.            Topic: NIAID

    PROJECT SUMMARY The overall objective of this proposed STTR effort is focused on the derivation and validation of a commercialized biomarker-enhanced artificial intelligence (AI)-based pediatric sepsis screening tool (PSCT) that can be incorporated into emergency department (ED) workflows to enhance early recognition and the initiation of timely, aggressive personalized sepsis therapy. The early r ...

    STTR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  2. Solving Sepsis: Early Identification and Prompt Management Using Machine Learning

    SBC: Cohere-Med, Inc.            Topic: 300

    Abstract This fast-track STTR application proposes to enhance, validate, and scale Sepsis Watch, a deep learning sepsis detection and management system built using data from the Emergency Department (ED) Duke University Hospital (DUH). The proposal will extend and enhance Sepsis Watch to EDs, general inpatient wards, and intensive care unit (ICU) settings across multiple health systems in the Unit ...

    STTR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  3. Empowering providers to improve care for disadvantaged patients: design and prototype testing of novel user interface for electronic health records

    SBC: ASP.MD            Topic: 102

    PROJECT SUMMARY There is an emerging digital divide in healthcare between those who care for disadvantaged patients and those who care for less vulnerable populations. In the past decade, electronic health record (EHR) adoption and use has increased but unequally. Providers caring for disadvantaged populations are less likely to have and use advanced EHRs with sophisticated clinical decision suppo ...

    STTR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  4. Assessment of mobile application-delivered lighting interventions for reducing circadian disruption in shift workers

    SBC: ARCASCOPE INC            Topic: NHLBI

    PROJECT SUMMARY Shift workers experience profound circadian disruption, which can have deleterious long term effects on their health and quality of life. Mood, fatigue, and performance can be improved in shift workers by moving the timing of their peak circadian drive to sleep outside the hours they are expected to work. This can be achieved with a targeted lighting intervention, as light is the p ...

    STTR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  5. Development of a Gectosome Therapy for Cardiovascular Diseases

    SBC: Vesicle Therapeutics Inc.            Topic: NHLBI

    Project Summary Vesicle Therapeutics Inc aims to develop and commercialize a new therapy for homozygous familial hypercholesterolemia (hoFH). A majority of hoFH is caused by mutations in both alleles of the gene encoding the LDL receptor (LDLR). Since the efficacy of both statins and PCSK9 antibody therapies largely depends on functional LDL receptors, patients with hoFH show limited responses to ...

    STTR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  6. Broadly Accessible Technologies for Single-cell Joint Analysis of Transcriptome and Epigenome

    SBC: EPIGENOME TECHNOLOGIES, INC            Topic: 101

    AbstractHistone modifications carry rich information of cellular memory and gene regulatory mechanisms. Single cell analysis of histone modification in conjunction with transcriptome could recover this critical layer of cell identity and help to dissect the cellular and molecular composition of complex tissues such as the brain. We recently developed an ultra-high throughput single cell multi-omic ...

    STTR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  7. MentorHub: A Supportive Accountability Tool for MHapps

    SBC: ACADEMIC WEB PAGES, INC            Topic: 104

    Project Summary/Abstract (30 lines) In the United States, 15 million children and adolescents need psychological services; yet only one-third receive psychological services of any kind. Even fewer receive care that is consistent with evidence-based guidelines for best practices. This gap has widened dramatically with the negative effects of the COVID-19 pandemic on the mental health of children, c ...

    STTR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  8. Developing Vertebrate-Specific Replication-Defective Dengue Virus as Novel Single-CycleDengue Vaccine Candidate

    SBC: Tengen Biomedical Co            Topic: NIAID

    Developing Vertebrate-Specific Replication-Defective Dengue Virus asa Novel Single-Cycle Dengue Vaccine Candidate Abstract With an estimated minimum of 390 million dengue virus (DENV) infections per year, the DENV epidemic was listed as one of the worldandapos;s top 10 public health threats by WHO in 2019. At present, there is no specific treatment. A universal vaccine is urgently needed. DENV vac ...

    STTR Phase I 2022 Department of Health and Human ServicesNational Institutes of Health
  9. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Convolutional Neural Networks (DCNNs) have become ubiquitous in the analysis of large datasets with geometric symmetries. These datasets are common in medicine, science, intelligence, autonomous driving and industry. While analysis based on DCNNs have proven powerful, uncertainty estimation for such analyses has required sophisticated empirical studies. This has negatively impacted the effect ...

    STTR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  10. Smartphone App to Increase and Maintain Physical Activity in African American Men (FitBrothers)

    SBC: KLEIN BUENDEL, INC.            Topic: 102

    Physical activity (PA) is a modifiable risk factor for a number of preventable chronic diseases, including cardiovascular disease, strokes, obesity, and diabetes. These conditions constitute health disparities for African American men. Behavioral interventions have proven to be effective in promoting increases in physical activity. While behavior change programs have been shown to assist participa ...

    STTR Phase I 2021 Department of Health and Human ServicesNational Institutes of Health
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