SBIR/STTR Research Award
SBIR Phase I Machine Learning for Screening Acute Respiratory Distress Syndrome in General and COVID-19 Patient Populations
Award amount
$225,000Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- National Science Foundation
- Branch
- Not reported
- Recipient company
- Dascena, Inc.
- Proposal award date
- 2020-08-15
- Contract end date
- 2021-01-31
- UEI
- LL5MVRM9NKP5
- Solicitation number
- Not reported
- Topic code
- DH
Research abstract
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. ARDS detection is vital due to the recent COVID-19 outbre
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Using Clinical Treatment Data in a Machine Learning Approach for Sepsis Detection
- Developing an Unbiased Machine Learning Tool for Prediction of Acute Coronary Syndrome
- A computational approach to early sepsis detection
- Early Identification of Acute Kidney Injury Using Deep Recurrent Neural Nets, Presented with Probable Etiology
- Pediatric sepsis prediction: a machine learning solution for patient diversity
Research funding history
9 SBIR/STTR records share this UEI (2016–2021). Reported award amounts total $4,338,886. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Health and Human Services, National Science Foundation