← Leaderboards
Jay L Koyner
University Of Chicago
$2,844,723
Attributed
$4,525,745
Total exposure
3
Grants
3
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 $697.9K · FY2009–25$1M$750K$500K$250K$0
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,525,745 · 3
By mechanism
R01$3,362,045 · 1
K23$718,200 · 1
R21$445,500 · 1
Top collaborators
- Matthew Michael Churpek5 shared
Most similar at University Of Chicago
Same institution · by research overlap
- Matthew Michael Churpek$8,108,899
- Anirban Basu$11,177,822
- Vineet Arora$8,431,481
- Daniel Catenacci$506,501
- Maylyn Martinez$397,980
Others in their field
Top investigators on “Cohort”
- David R. Weir · University Of Michigan At Ann Arbor$406,814,098
- George R Seage · Abt Associates, Inc.$297,656,361
- Eric Jeffrey Topol · Cleveland Clinic Lerner Col/Med-Cwru$242,146,554
- Glenda E Gray · Wits Health Consortium (Pty), Ltd$227,738,417
- Lawrence Corey · Fred Hutchinson Cancer Center$227,738,417
- James Dennis Neaton · Northwestern University$203,539,316
Research focus
CohortMorbidity - Disease RateUrineCreatinineLength Of StayHigh RiskHourAcute Renal Failure With Renal Papillary NecrosisPhenotypeEarly DiagnosisAdmission ActivityUrinaryBaseHospital ReadmissionBiological MarkersHospitalsDetectionGoldCaringConsultFutureCostGuidelinesEarly Intervention
Grant awards (12)
Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney Injury$692,905
R01 · FY2025 · DK · contact PI
Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney Injury$670,152
R01 · FY2024 · DK · contact PI
Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney Injury$697,926
R01 · FY2023 · DK · contact PI
Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney Injury$679,306
R01 · FY2022 · DK · contact PI
Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney Injury$621,756
R01 · FY2021 · DK · contact PI
An Early Real-Time Electronic Health Record Risk Algorithm for the Prevention and Treatment of Acute Kidney Injury: A Randomized Trial of an Early Standardized, Personalized Nephrology Intervention$202,500
R21 · FY2019 · DK · contact PI
An Early Real-Time Electronic Health Record Risk Algorithm for the Prevention and Treatment of Acute Kidney Injury: A Randomized Trial of an Early Standardized, Personalized Nephrology Intervention$243,000
R21 · FY2018 · DK · contact PI
The Role of Cystatin C in Acute Kidney Injury$143,640
K23 · FY2013 · DK · contact PI
The Role of Cystatin C in Acute Kidney Injury$143,640
K23 · FY2012 · DK · contact PI
The Role of Cystatin C in Acute Kidney Injury$143,640
K23 · FY2011 · DK · contact PI
The Role of Cystatin C in Acute Kidney Injury$143,640
K23 · FY2010 · DK · contact PI
The Role of Cystatin C in Acute Kidney Injury$143,640
K23 · FY2009 · DK · contact PI