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Tina Baykaner
Stanford University
$967,680
Attributed
$967,680
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 $193.5K · FY2019–23$200K$150K$100K$50K$0
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$967,680 · 1
By mechanism
K23$967,680 · 1
Top collaborators
No co-investigators on record.
Most similar at Stanford University
Same institution · by research overlap
- Sanjiv M Narayan$16,082,773
- Linda C Giudice$28,525,430
- Karen G Hirsch$4,719,335
- Jonathan Elmer$7,634,354
- Kalanit Grill-Spector$13,661,659
Others in their field
Other Emerging Leaders on “Dofetilide”
- Eli Fine · Curi Bio Inc$252,131
- Andreas Tzavelis · Northwestern University$246,334
Research focus
DofetilideAblationDesignArrhythmiaAffectAwardBiochemicalAdultCardiacClassificationAtrial FibrillationClinical PhenotypeClinical PredictorsClinical ResearchClinical RiskCohortBiometryAnti-Arrhythmia AgentsComputing MethodologiesCostData ElementData SetDeep Neural NetworkEconomic Burden
Grant awards (5)
Deep Neural Networks To Treat Atrial Fibrillation$193,536
K23 · FY2023 · HL · contact PI
Deep Neural Networks To Treat Atrial Fibrillation$193,536
K23 · FY2022 · HL · contact PI
Deep Neural Networks To Treat Atrial Fibrillation$193,536
K23 · FY2021 · HL · contact PI
Deep Neural Networks To Treat Atrial Fibrillation$193,536
K23 · FY2020 · HL · contact PI
Deep Neural Networks To Treat Atrial Fibrillation$193,536
K23 · FY2019 · HL · contact PI