← Leaderboards
Shelby Kutty
Nuvox Pharma, Llc
$1,154,813
Attributed
$5,019,779
Total exposure
3
Grants
0
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.
Funding over time
peak $3.1M · FY2016–23$5M$3.8M$2.5M$1.3M$0
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$5,019,779 · 3
By mechanism
R33$3,074,825 · 1
R61$1,701,790 · 1
R41$243,164 · 1
Top collaborators
- Nagib Dahdah4 shared
- Cedric Manlhiot4 shared
- Therese M Giglia3 shared
- Brian W Mccrindle3 shared
- Benjamin Barnes1 shared
- Evan Charles Unger1 shared
Others in their field
Top investigators on “Response”
- Lawrence Corey · Fred Hutchinson Cancer Center$677,505,141
- David Divins · Consortium For Ocean Leadership, Inc$609,772,544
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$532,027,174
- Barton F Haynes · Duke University$497,761,007
- Jeffrey P Krischer · University Of South Florida$397,532,270
- Glenda E Gray · Wits Health Consortium (Pty), Ltd$342,310,423
Research focus
ResponseClinical ManagementChildhoodMeasurementChildComplexConsultationsData CollectionClinical Decision SupportAlgorithmsAdverse OutcomeClinical PredictorsAffectCollaborationsClinical Decision Support SystemsBenignAlgorithm DevelopmentCoronavirus Disease2019-NcovBiological MarkersApplication Programming InterfaceClinical DataClinical DevelopmentCovid-19 Pandemic
Grant awards (5)
A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patients$1,558,153
R33 · FY2023 · HD
A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patients$1,516,672
R33 · FY2023 · HD
A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patients$783,833
R61 · FY2022 · HD
A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patients$917,957
R61 · FY2021 · HD
Targeted and Non-targeted Microbubbles for Pediatric Applications$243,164
R41 · FY2016 · HD