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Aaron S Eisman
Brown University
$156,988
Attributed
$156,988
Total exposure
1
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. They are the sole PI on all grants (the two match).
Funding over time
peak $53.5K · FY2020–23$100K$75K$50K$25K$0
'20
'21
'22
'23
Funding mix
By agency
NIH$156,988 · 1
By mechanism
F30$156,988 · 1
Top collaborators
No co-investigators on record.
Most similar at Brown University
Same institution · by research overlap
- Amal N. Trivedi$14,732,060
- Christopher K Jones$6,812,336
- Sohini Ramachandran$5,093,657
- Ann Mwangi$2,177,374
- Joseph W Hogan$13,187,816
Others in their field
Other Emerging Leaders on “Disease Progression”
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Beth Baseler · Leidos Biomedical Research, Inc.$111,936,677
- Klaus Romero · Critical Path Institute$90,404,592
- Susan Abushakra · Alzheon, Inc.$47,265,244
- John Damon Chodera · Sloan-Kettering Inst Can Research$45,424,821
- Ryan Cirz · Revagenix, Inc.$40,209,479
Research focus
Disease ProgressionEffectivenessDiabetes MellitusDisability-Adjusted Life YearsArtificial Neural NetworkBayesian NetworkBiomedical InformaticsAtherosclerosisAdjudicationCalibrationCardiovascular DiseasesBayesian ModelingCardiovascular Disorder RiskCareerCaringCause Of DeathCenters For Disease Control And Prevention (U.S.)Clinical PracticeBlood PressureCohortComputer ScienceData ExchangeData MiningElectronic Health Record
Grant awards (3)
Improving the Accuracy of ASCVD Risk Estimation Using Population-Level EHR and Genetic Data$52,932
F30 · FY2023 · LM · contact PI
Improving the Accuracy of ASCVD Risk Estimation Using Population-Level EHR and Genetic Data$53,536
F30 · FY2021 · LM · contact PI
Improving the Accuracy of ASCVD Risk Estimation Using Population-Level EHR and Genetic Data$50,520
F30 · FY2020 · LM · contact PI