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Jean Digitale
University Of California, San Francisco
$118,364
Attributed
$118,364
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 $42K · FY2021–23$50K$37.5K$25K$12.5K$0
'21
'22
'23
Funding mix
By agency
NIH$118,364 · 1
By mechanism
F31$118,364 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Anil Sapru$5,277,517
- Erin Lynn Van Blarigan$5,308,724
- Diane V Havlir$125,216,731
- Susan Halabi$7,630,539
- Janet M Turan$11,052,610
Others in their field
Other Emerging Leaders on “Decision Making”
- Valerie Koch · University Corporation For Atmospheric Res$243,972,016
- Christopher Barnaby Nelson · University Of Melbourne$27,954,628
- Chani Eduard · Precision Bioservices, Inc.$19,909,203
- Alan D. Palkowitz · Indiana University Indianapolis$17,630,798
- Leonard Freedman · Leidos Biomedical Research, Inc.$15,756,756
- Drew Memmott · Dana-Farber Cancer Inst$14,903,954
Research focus
Decision MakingArtificial IntelligenceAreaAdultCaliforniaCareerCaringCharacteristicsChildChild CareChildhoodClinical InformaticsClinical PracticeClinical ResearchClinical SkillsCompetenceConsensusCostCritical Care NursingCritically Ill ChildrenData ScienceData ScientistData SetDelirium
Grant awards (4)
Predicting earliest safe extubation time in pediatric patients$39,488
F31 · FY2023 · HL · contact PI
Predicting earliest safe extubation time in pediatric patients$2,500
F31 · FY2023 · HL · contact PI
Predicting earliest safe extubation time in pediatric patients$38,546
F31 · FY2022 · HL · contact PI
Predicting earliest safe extubation time in pediatric patients$37,830
F31 · FY2021 · HL · contact PI