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Anru Zhang
Duke University
$1,631,312
Attributed
$2,606,118
Total exposure
2
Grants
1
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 $1.3M · FY2024–25$2M$1.5M$1M$500K$0
'24
'25
Funding mix
By agency
NIH$2,606,118 · 2
By mechanism
R01$2,606,118 · 2
Top collaborators
- Svati H. Shah2 shared
- Sreekanth Vemulapalli2 shared
Most similar at Duke University
Same institution · by research overlap
- Alexander M Kulminski$13,747,868
- Cynthia Rudin$4,182,146
- Adrian Hernandez$126,943,012
- Anatoliy I Yashin$18,815,780
- Stephan Zuchner$30,061,220
Others in their field
Other Rising Stars on “Electronic Health Record”
- Gary Mays · Axle Informatics, Llc$59,047,077
- Cathie Snyder · Rho Federal Systems Division, Inc.$13,836,971
- Christopher J. Lindsell · Vanderbilt University Medical Center$10,402,454
- Michael Hogarth · University Of California, San Diego$10,285,272
- Suma Babu · Massachusetts General Hospital$9,819,674
- Sabrina Paganoni · Massachusetts General Hospital$9,819,674
Research focus
Electronic Health RecordDiagnosisMachine LearningPatient CareAlgorithmsClinicDetectionInnovationVariantPhenotypeCaringCharacteristicsAwarenessClassificationCare SeekingArtificial IntelligenceAdultCardiovascular DiseasesComplexCollaborationsComputable PhenotypesCostCoupledCardiac Amyloidosis
Grant awards (4)
Machine Learning Guided Precision Genetic Testing for Identification of Monogenic Cardiovascular Disorders$705,314
R01 · FY2025 · HL
Integrated Detection and Classification of Sepsis via Tensor Methods Using EHR$560,749
R01 · FY2025 · HL · contact PI
Machine Learning Guided Precision Genetic Testing for Identification of Monogenic Cardiovascular Disorders$756,895
R01 · FY2024 · HL
Integrated Detection and Classification of Sepsis via Tensor Methods Using EHR$583,160
R01 · FY2024 · HL · contact PI