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Dakuo Wang
Ohio State University
$309,240
Attributed
$1,236,960
Total exposure
2
Grants
0
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 $937K · FY2024–25$1M$750K$500K$250K$0
'24
'25
Funding mix
By agency
NIH$1,236,960 · 2
By mechanism
R01$1,236,960 · 2
Top collaborators
- Ping Zhang3 shared
- Jeffrey M Caterino2 shared
- Lace M. Padilla2 shared
- Daniel Addison1 shared
- Weidan Cao1 shared
Most similar at Ohio State University
Same institution · by research overlap
- Philip R.o. Payne$8,781,842
- Nicholas C Denko$10,501,039
- Zihai Li$25,199,729
- Ann Scheck McAlearney$8,849,739
- Tsonwin Hai$4,164,066
Others in their field
Other Rising Stars on “Machine Learning Model”
- Xuping Xie · University Of Texas Med Br Galveston$13,737,799
- Heinz Ernst Moser · University Of Texas Med Br Galveston$13,657,841
- Benjamin M Greenberg · Ut Southwestern Medical Center$11,474,975
- Eric Anderson · Columbia University Health Sciences$11,474,975
- Jinsy Andrews · Columbia University Health Sciences$11,474,975
- Colin Osborne · University Of Texas Med Br Galveston$10,407,745
Research focus
Machine Learning ModelUser-FriendlyElectronic Health RecordMachine LearningRecording Of Previous EventsUsabilityData De-IdentificationDesignFutureInsightPredictive ModelingArtificial IntelligenceRisk Prediction ModelTrainingClinical Decision-MakingDatabasesData SetDecision MakingCommunitiesExperimental StudyHospitalsInnovationPhysiciansVisit
Grant awards (3)
Treatment-Related Cardiotoxicity Risk Prediction for Breast Cancer Patients with a Multimodal AI-based System$642,454
R01 · FY2025 · CA
SCH: Improving Early Prediction and Decision-Making for Sepsis with Human-AI Collaboration$294,506
R01 · FY2025 · AI
SCH: Improving Early Prediction and Decision-Making for Sepsis with Human-AI Collaboration$300,000
R01 · FY2024 · AI