← Leaderboards
Gabriel Erion Barner
University Of Washington
$143,966
Attributed
$143,966
Total exposure
1
Grants
1
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).
Funding over time
peak $51.8K · FY2020–22$100K$75K$50K$25K$0
'20
'21
'22
Funding mix
By agency
NIH$143,966 · 1
By mechanism
F30$143,966 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Washington
Same institution · by research overlap
- Nancy R Temkin$9,931,540
- Michael W Schwartz$31,191,408
- Francis Kim$15,639,748
- Timothy Ryan Watkins$799,354
- Thomas M Burbacher$17,165,331
Others in their field
Other Emerging Leaders on “Acute”
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$51,003,204
- Julie Ake · National Institute Of Allergy And Infectious Diseases$41,692,120
- Xinhua Li · Nano Terra, Inc.$29,991,620
- Wendy Sammons-Jackson · National Institute Of Allergy And Infectious Diseases$29,269,420
- Evan Z Macosko · Broad Institute, Inc.$27,107,011
Research focus
AcuteAdoptedAdverse EventAlgorithmsAreaArtificial IntelligenceAwarenessBaseBenchmarkingBlood Coagulation DisordersBlood PressureBudgetsCategoriesCessation Of LifeClinical DataClinical Decision-MakingClinical PracticeComaComputerized Medical RecordComputer ScienceComputer SoftwareConsensusCostAccurate Diagnosis
Grant awards (3)
CoAI: Cost-Aware Artificial Intelligence for Efficient Prehospital Diagnosis of Trauma Patients$51,752
F30 · FY2022 · HL · contact PI
CoAI: Cost-Aware Artificial Intelligence for Efficient Prehospital Diagnosis of Trauma Patients$51,036
F30 · FY2021 · HL · contact PI
CoAI: Cost-Aware Artificial Intelligence for Efficient Prehospital Diagnosis of Trauma Patients$41,178
F30 · FY2020 · HL · contact PI