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Lakshmi Raman
Ut Southwestern Medical Center
$1,574,384
Attributed
$1,574,384
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 $539.2K · FY2023–25$1M$750K$500K$250K$0
'23
'24
'25
Funding mix
By agency
NIH$1,574,384 · 1
By mechanism
R01$1,574,384 · 1
Top collaborators
No co-investigators on record.
Most similar at Ut Southwestern Medical Center
Same institution · by research overlap
- Guanghua Xiao$9,069,817
- Dan Nguyen$2,546,103
- Steve Bin Jiang$5,174,477
- Quyen Ngoc Do$1,037,330
- Xun Jia$9,874,239
Others in their field
Other Rising Stars on “Acids”
- Rino Rappuoli · Washington University$14,702,884
- Daofeng Li · Salk Institute For Biological Studies$9,887,266
- Christine W Hockett · Avera Mckennan$8,908,366
- Victoria Coleman · Leidos Biomedical Research, Inc.$7,090,787
- Brian J Lopresti · University Of Pittsburgh At Pittsburgh$6,934,890
- Rangarajan Sampath · Siemens Healthcare Diagnostics Inc.$5,422,657
Research focus
AcidsAcuteAdultAlgorithmsAnticoagulationArtificial IntelligenceBaseBrain InjuriesCardiopulmonaryCardiopulmonary BypassCerebral HemodynamicsCerebrumCharacteristicsChildChildhood InjuryClassificationClinical DataClinical Decision-MakingClinically SignificantCoagulation ProcessCohortComputerized Medical RecordConventional TherapyAccounting
Grant awards (3)
Predicting ECMO NeuroLogICal Injuries using mAchiNe Learning (PELICAN)$523,509
R01 · FY2025 · NS · contact PI
Predicting ECMO NeuroLogICal Injuries using mAchiNe Learning (PELICAN)$511,676
R01 · FY2024 · NS · contact PI
Predicting ECMO NeuroLogICal Injuries using mAchiNe Learning (PELICAN)$539,199
R01 · FY2023 · NS · contact PI