← Leaderboards
Elsie Gyang Ross
Stanford University
$2,483,993
Attributed
$2,483,993
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 $711.7K · FY2019–25$1M$750K$500K$250K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,483,993 · 2
By mechanism
R01$1,676,884 · 1
K01$807,109 · 1
Top collaborators
No co-investigators on record.
Most similar at Stanford University
Same institution · by research overlap
- James F Fries$7,095,417
- Vinod Menon$45,459,463
- Tina Hernandez-Boussard$9,117,009
- Mark A. Hlatky$8,426,433
- Maame Yaa A.b. Yiadom$1,886,701
Others in their field
Other Emerging Leaders on “Ensure”
- Sonia M Thomas · Research Triangle Institute$701,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- Chanza Baytop · Westat, Inc.$271,217,917
- Valerie Koch · University Corporation For Atmospheric Res$243,972,016
- Lisa Garcia Bedolla · University Of California-Berkeley$175,927,128
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$142,551,806
Research focus
EnsureMortalityDesignElectronic Health RecordMorbidity - Disease RateMachine Learning AlgorithmCohortData SetDisease DiagnosisEarly DiagnosisMedicalEventAwarenessAdoptionAlgorithmsAdultArtificial IntelligenceCaringAmericanDiagnosisCardiovascular DiseasesCardiovascular SystemAffectPerformance
Grant awards (8)
Artificial Intelligence for early Detection of Peripheral Artery Disease (AID-PAD)$529,904
R01 · FY2025 · AG · contact PI
Artificial Intelligence for early Detection of Peripheral Artery Disease (AID-PAD)$596,133
R01 · FY2024 · AG · contact PI
Artificial Intelligence for early Detection of Peripheral Artery Disease (AID-PAD)$550,847
R01 · FY2023 · AG · contact PI
Using Artificial Intelligence to Enable Early Identification and Treatment of Peripheral Artery Disease$160,874
K01 · FY2023 · HL · contact PI
Using artificial intelligence to enable early identification and treatment of peripheral artery disease$161,260
K01 · FY2022 · HL · contact PI
Using artificial intelligence to enable early identification and treatment of peripheral artery disease$161,239
K01 · FY2021 · HL · contact PI
Using artificial intelligence to enable early identification and treatment of peripheral artery disease$161,736
K01 · FY2020 · HL · contact PI
Using artificial intelligence to enable early identification and treatment of peripheral artery disease$162,000
K01 · FY2019 · HL · contact PI