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James Marlow Blum
University Of Michigan At Ann Arbor
$182,929
Attributed
$365,857
Total exposure
2
Grants
2
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 $213.6K · FY2012–25$250K$187.5K$125K$62.5K$0
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'25
Funding mix
By agency
NIH$365,857 · 1
VA$0 · 1
By mechanism
R21$365,857 · 1
I01$0 · 1
Top collaborators
- Heather Schacht Reisinger6 shared
- Satinder Singh Baveja2 shared
Most similar at University Of Michigan At Ann Arbor
Same institution · by research overlap
- Benjamin Herschel Singer$4,763,896
- Anthony Rosenzweig$35,493,023
- Mark R Opp$9,091,391
- Kathleen A Stringer$5,904,083
- Daniel G. Remick$12,614,334
Others in their field
Top investigators on “Affect”
- Gerald T Nepom · Benaroya Research Inst At Virginia Mason$298,740,071
- Judith S. Currier · University Of California Los Angeles$287,585,588
- Chanza Baytop · Westat, Inc.$271,217,917
- Joseph J. Eron · Univ Of North Carolina Chapel Hill$209,385,844
- David Heimbrook · Leidos Biomedical Research, Inc.$168,138,264
- Daniel R Kuritzkes · Brigham And Women'S Hospital$151,687,019
Research focus
AffectPhysiciansReportingEventData SetIncidenceHigh RiskProphylactic TreatmentData SourcesAreaData AnalysesAdministratorData CollectionDesignAntibiotic TherapyAntibioticsData WarehouseClinical Decision SupportCare CostsCare Given By NursesCaringCharacteristicsClinical DataAcute Physiology And Chronic Health Evaluation
Grant awards (8)
Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network$0
I01 · FY2025 · VA · contact PI
Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network$0
I01 · FY2024 · VA · contact PI
Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network$0
I01 · FY2023 · VA · contact PI
Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network$0
I01 · FY2022 · VA · contact PI
Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network$0
I01 · FY2022 · VA · contact PI
Building a Learning Healthcare System to Understand and Improve Sepsis Outcomes in the VA TeleICU Network$0
I01 · FY2020 · VA · contact PI
Exploring the Feasibility of Computational Markers to Predict Atrial Fibrillation$152,303
R21 · FY2013 · LM · contact PI
Exploring the Feasibility of Computational Markers to Predict Atrial Fibrillation$213,554
R21 · FY2012 · LM · contact PI