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Hua Judy Zhong

New York University School Of Medicine

$7,285,128
Attributed
$13,675,565
Total exposure
6
Grants
5
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 $6.5M · FY201425
$10M$7.5M$5M$2.5M$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$13,675,565 · 6

By mechanism

R01$5,947,248 · 3
OT2$5,097,004 · 1
U01$2,464,501 · 1
R21$166,812 · 1

Top collaborators

Most similar at New York University School Of Medicine

Same institution · by research overlap

Others in their field

Top investigators on “Cohort

Research focus

CohortCardiovascular DiseasesLinkBiological MarkersDemographicsData SetPopulation BasedRisk FactorsMedicalHealthcareSurveysDrug PrescriptionsRetirementInterviewInnovationPhysical AssessmentDiagnosisMethodologyNew YorkInstitutionData ModelingClinical DataPatient PopulationElectronic Health Record

Grant awards (21)

AR² - Autism Replication, Validation, and Reproducibility Center$5,097,004
OT2 · FY2025 · OD · contact PI
Mechanisms of paired vagus nerve stimulation in human chronic stroke$1,426,188
U01 · FY2025 · HD
Mechanisms of paired vagus nerve stimulation in human chronic stroke$1,038,313
U01 · FY2024 · HD
EHR-based vs population-based CVD risk predictions for older patients with diabetes$279,486
R01 · FY2024 · AG · contact PI
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$232,089
R01 · FY2024 · LM · contact PI
EHR-based vs population-based CVD risk predictions for older patients with diabetes$212,839
R01 · FY2024 · AG · contact PI
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$105,316
R01 · FY2024 · LM · contact PI
EHR-based vs population-based CVD risk predictions for older patients with diabetes$583,592
R01 · FY2023 · AG · contact PI
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$330,666
R01 · FY2023 · LM · contact PI
EHR-based vs population-based CVD risk predictions for older patients with diabetes$441,645
R01 · FY2022 · AG · contact PI
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$332,106
R01 · FY2022 · LM · contact PI
EHR-based vs population-based CVD risk predictions for older patients with diabetes$558,359
R01 · FY2021 · AG · contact PI
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$348,234
R01 · FY2021 · LM · contact PI
EHR-based vs population-based CVD risk predictions for older patients with diabetes$320,767
R01 · FY2021 · AG · contact PI
EHR-based vs population-based CVD risk predictions for older patients with diabetes$529,118
R01 · FY2020 · AG · contact PI
CVD Risk and Outcome Heterogeneity in Older Adults with Diabetes$368,910
R01 · FY2020 · AG
CVD Risk and Outcome Heterogeneity in Older Adults with Diabetes$322,575
R01 · FY2020 · AG · contact PI
CVD Risk and Outcome Heterogeneity in Older Adults with Diabetes$321,185
R01 · FY2019 · AG
CVD Risk and Outcome Heterogeneity in Older Adults with Diabetes$322,277
R01 · FY2018 · AG
CVD Risk and Outcome Heterogeneity in Older Adults with Diabetes$338,084
R01 · FY2017 · AG
Network based biosignature development$166,812
R21 · FY2014 · GM · contact PI