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Sanjay Mohanty
Indiana University Indianapolis
$550,788
Attributed
$550,788
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 $141.8K · FY2022–25$200K$150K$100K$50K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$550,788 · 1
By mechanism
K23$550,788 · 1
Top collaborators
No co-investigators on record.
Most similar at Indiana University Indianapolis
Same institution · by research overlap
- Babar A Khan$9,027,739
- Brian E. Dixon$5,147,904
- Thomas F Imperiale$4,207,373
- Bradford C Dickerson$59,157,479
- Sikandar Hayat Khan$930,305
Others in their field
Other Rising Stars on “Alzheimer&Apos”
- Kjetil Bjornevik · Harvard University D/B/A Harvard School Of Public Health$3,280,861
- Yanling Wang · Rush University Medical Center$2,986,919
- William G Mantyh · University Of Minnesota$2,961,521
- Allison Mercedes Caban-Holt · University Of Miami School Of Medicine$2,611,182
- Brian Stephen Appleby · Cleveland Clinic Lerner Com-Cwru$2,482,260
- Noah Ray Johnson · University Of Colorado Denver$2,282,487
Research focus
Alzheimer&AposAcuteClinical Decision SupportAgingCardiopulmonaryAmericanArtificial IntelligenceAttentionAwardBrain HealthComorbidityCardiovascular SystemCareerCareer DevelopmentAdvanced AnalyticsClinical SciencesCognitionCognitiveCognitive DisabilityCognitive EnhancementCognitive RecoveryCohortActive LearningAcceptability And Feasibility
Grant awards (4)
Using Routine Care Electronic Medical Record Data and Artificial Intelligence to Develop a Passive Digital Marker to Predict Postoperative Delirium$141,820
K23 · FY2025 · AG · contact PI
Using Routine Care Electronic Medical Record Data and Artificial Intelligence to Develop a Passive Digital Marker to Predict Postoperative Delirium$141,820
K23 · FY2024 · AG · contact PI
Using Routine Care Electronic Medical Record Data and Artificial Intelligence to Develop a Passive Digital Marker to Predict Postoperative Delirium$141,056
K23 · FY2023 · AG · contact PI
Using Routine Care Electronic Medical Record Data and Artificial Intelligence to Develop a Passive Digital Marker to Predict Postoperative Delirium$126,092
K23 · FY2022 · AG · contact PI