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Dascena, Inc.

Company Information
Address
1415 La Concha Ln
Houston, TX 77054-1801
United States


http://www.dascena.com/

Information

UEI: LL5MVRM9NKP5

# of Employees: 129


Ownership Information

HUBZone Owned: Yes

Socially and Economically Disadvantaged: No

Woman Owned: No



Award Charts




Award Listing

  1. Developing an Unbiased Machine Learning Tool for Prediction of Acute Coronary Syndrome

    Amount: $256,585.00

    Abstract Significance: Racial and sex disparities in the diagnosis and care of acute coronary syndrome (ACS) patients are well documented. As machine learning algorithms (MLA) become more common in he ...

    SBIRPhase I2021Department of Health and Human Services National Institutes of Health
  2. Using Clinical Treatment Data in a Machine Learning Approach for Sepsis Detection

    Amount: $1,999,554.00

    Abstract Significance: We propose to evaluate the performance of HindSight in a randomized controlled trial (RCT). HindSight is a novel encoding software designed to optimize alerts for sepsis predict ...

    SBIRPhase II2021Department of Health and Human Services National Institutes of Health
  3. SBIR Phase I Machine Learning for Screening Acute Respiratory Distress Syndrome in General and COVID-19 Patient Populations

    Amount: $225,000.00

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to improve early and accurate acute respiratory distress syndrome (ARDS) detection. AR ...

    SBIRPhase I2020National Science Foundation
  4. Pediatric sepsis prediction: a machine learning solution for patient diversity

    Amount: $299,999.00

    AbstractSignificanceInthisSBIRprojectweproposetopredictanddetectpediatricseveresepsisbydevelopingamachinelearningbasedclinicaldecisionsupportsystemforelectronichealthrecordEHRpediatricsepsisscreeningT ...

    SBIRPhase I2018Department of Health and Human Services National Institutes of Health
  5. Early Identification of Acute Kidney Injury Using Deep Recurrent Neural Nets, Presented with Probable Etiology

    Amount: $349,320.00

    Abstract SignificanceIn this SBIR project we propose to develop Previsea novelsoftware based clinical decision supportCDSsystem for predicting acute kidney injuryAKIand attributing AKI to one of sever ...

    SBIRPhase I2018Department of Health and Human Services National Institutes of Health
  6. Using clinical treatment data in a machine learning approach for sepsis detection

    Amount: $324,971.00

    Abstract SignificanceIn this SBIR projectwe propose to develop novel softwareHindSightthat will improve InSighta machine learning based clinical decision supportCDSsystem for sepsis prediction and det ...

    SBIRPhase I2018Department of Health and Human Services National Institutes of Health
  7. A computational approach to early sepsis detection

    Amount: $310,782.00

    Abstract SignificanceIn this SBIR projectwe propose to improve the performance of InSighta machine learningbased sepsis screening systemin situations of limited training data from the target clinical ...

    SBIRPhase I2018Department of Health and Human Services National Institutes of Health
  8. Autonomous system supporting patient specific transfer and discharge decisions

    Amount: $347,772.00

    Significance In this SBIR project we propose to improve the utility of AutoTriage a machine learning based clinical decision support CDS system by integrating clinician intervention medical info ...

    SBIRPhase I2017Department of Health and Human Services National Institutes of Health
  9. STTR Phase I: An integrated platform for the analysis of patient health record data to enable predictive clinical decision support

    Amount: $224,903.00

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to reduce preventable patient readmissions, streamline triage, and detect multi-organ disea ...

    STTRPhase I2016National Science Foundation
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