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Corey Wells Arnold
University Of California Los Angeles
$7,781,589
Attributed
$7,781,589
Total exposure
6
Grants
6
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 $1.4M · FY2014–25$2M$1.5M$1M$500K$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$7,781,589 · 6
By mechanism
R01$6,446,211 · 3
R21$736,409 · 2
R56$598,969 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California Los Angeles
Same institution · by research overlap
- Kyung Hyun Sung$3,857,110
- Sudipto Banerjee$6,523,195
- Gang Zeng$2,298,493
- Marc A. Suchard$5,555,786
- Rajesh Kumar$10,579,841
Others in their field
Top investigators on “Morbidity - Disease Rate”
- Marco Pahor · Wake Forest University Health Sciences$29,421,775
- A Benedict Cosimi · Massachusetts General Hospital$17,236,164
- Judith S. Currier · University Of California Los Angeles$11,229,603
- Andrea Jenay Ruff · Johns Hopkins University$10,896,035
- Lucile L Adams-Campbell · Howard University$10,384,616
- Michael K Ong · University Of California Los Angeles$9,898,332
Research focus
Morbidity - Disease RateBasePreventMultimodalityCohortMortalityFoundationsData SetPhenotypeLearningManualsCostAffectUnited StatesImageSignal TransductionImage AnalysisComplexResourcesTissuesMapsPhysiciansMedical ImagingProspective
Grant awards (16)
Computational Feature Profiling and Modeling for Prostate Cancer Detection and Risk Stratification$619,960
R01 · FY2025 · CA · contact PI
Computational Feature Profiling and Modeling for Prostate Cancer Detection and Risk Stratification$641,385
R01 · FY2024 · CA · contact PI
mHealth for Heart Failure: Predictive Models of Readmission Risk and Self-care Using Consumer Activity Trackers$721,251
R01 · FY2022 · HL · contact PI
A Machine Learning Approach to Classifying Time Since Stroke using Medical Imaging$429,902
R01 · FY2022 · NS · contact PI
mHealth for Heart Failure: Predictive Models of Readmission Risk and Self-care Using Consumer Activity Trackers$733,331
R01 · FY2021 · HL · contact PI
A Machine Learning Approach to Classifying Time Since Stroke using Medical Imaging$429,902
R01 · FY2021 · NS · contact PI
mHealth for Heart Failure: Predictive Models of Readmission Risk and Self-care Using Consumer Activity Trackers$746,852
R01 · FY2020 · HL · contact PI
A Machine Learning Approach to Classifying Time Since Stroke using Medical Imaging$429,902
R01 · FY2020 · NS · contact PI
mHealth for Heart Failure: Predictive Models of Readmission Risk and Self-care Using Consumer Activity Trackers$757,507
R01 · FY2019 · HL · contact PI
A Machine Learning Approach to Classifying Time Since Stroke using Medical Imaging$450,969
R01 · FY2019 · NS · contact PI
Predicting the Presence of Clinically Significant Prostate Cancer using Multiparametric MRI and MR-US Fusion Biopsy$156,788
R21 · FY2019 · CA · contact PI
A Machine Learning Approach to Classifying Time Since Stroke using Medical Imaging$485,250
R01 · FY2018 · NS · contact PI
Predicting the Presence of Clinically Significant Prostate Cancer using Multiparametric MRI and MR-US Fusion Biopsy$195,568
R21 · FY2018 · CA · contact PI
mHealth for Heart Failure: Predictive Models of Readmission Risk and Self-care Using Consumer Activity Trackers$598,969
R56 · FY2017 · HL · contact PI
A Topic Model and Visualization for Automatic Summarization of Patient Records$161,061
R21 · FY2015 · LM · contact PI
A Topic Model and Visualization for Automatic Summarization of Patient Records$222,992
R21 · FY2014 · LM · contact PI