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Wei-Hsuan Lo-Ciganic
University Of Florida
$3,726,621
Attributed
$3,726,621
Total exposure
2
Grants
2
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 $701.7K · FY2019–25$1M$750K$500K$250K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$3,726,621 · 2
By mechanism
R01$3,203,374 · 1
R21$523,247 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Florida
Same institution · by research overlap
- Jingchuan Guo$1,978,842
- Hui Shao$4,879,138
- Michael N. Neely$9,304,264
- Patrick J Tighe$5,133,194
- Lisa Scarton$1,975,628
Others in their field
Other Emerging Leaders on “Prescription Opioid”
- Jeffrey Reich · Sparian Biosciences, Inc.$21,990,518
- Cecile Feldman · Rbhs-School Of Dental Medicine$11,278,781
- Bryan L McLaughlin · Micro-Leads, Inc.$10,012,607
- Nikej Shah · Nirsum Laboratories, Inc.$7,722,108
- Miriam Komaromy · Rand Corporation$7,541,933
- Roger Crystal · Opiant Pharmaceuticals, Inc.$7,387,573
Research focus
Prescription OpioidMedicaidInnovationHigh RiskAdverse OutcomeOverdose RiskUnited States Centers For Medicare And Medicaid ServicesPreventMedicareClinical PracticeOpioid UseOpioidDoseOverdoseProgramsFloridaGuidelinesLettersStructured DataComputer SoftwareHealthcare SystemsDesignPhysician AssistantsCost
Grant awards (8)
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)$595,973
R01 · FY2025 · DA · contact PI
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)$616,268
R01 · FY2024 · DA · contact PI
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)$634,810
R01 · FY2023 · DA · contact PI
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)$654,598
R01 · FY2022 · DA · contact PI
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)$701,725
R01 · FY2021 · DA · contact PI
Developing a Real-Time Trajectory Tool to Identify Potentially Unsafe Concurrent Opioid and Benzodiazepine Use among Older Adults$193,936
R21 · FY2020 · AG · contact PI
Using a predicting Risky Opioid-Benzodiazepine Trajectory e-Care Tool (PROTeCT) to identify high-risk regions$76,250
R21 · FY2020 · AG · contact PI
Developing a Real-Time Trajectory Tool to Identify Potentially Unsafe Concurrent Opioid and Benzodiazepine Use among Older Adults$253,061
R21 · FY2019 · AG · contact PI