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Mackenzie Anne Eagleson
Johns Hopkins University
$176,400
Attributed
$176,400
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 $89.9K · FY2021–22$100K$75K$50K$25K$0
'21
'22
Funding mix
By agency
NIH$176,400 · 1
By mechanism
F32$176,400 · 1
Top collaborators
No co-investigators on record.
Most similar at Johns Hopkins University
Same institution · by research overlap
- Dorry Segev$40,743,790
- Christine Marie Durand$23,429,807
- John D Gottsch$5,693,212
- Antony Rosen$15,771,548
- Andrew M Cameron$6,342,614
Others in their field
Other Emerging Leaders on “Adopted”
- Sonia M Thomas · Research Triangle Institute$701,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- April Brinkoetter · Hungry Heart Media, Inc.$57,302,265
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$28,235,661
- Kathleen Maletic Neuzil · Emory University$26,258,144
- Abraham Aizer Brody · New York University School Of Medicine$24,513,574
Research focus
AdoptedAdoptionAdvanced AnalyticsAdvisory CommitteesAlgorithmsAllograftingBaseBiometryBiopsyCareerCessation Of LifeChronicClinical BiomarkersClinical InvestigationClinical PracticeConvolutional Neural NetworkCounselingCountryData AnalysesData RegistryData SetDecision MakingDesignAdaptive Learning
Grant awards (2)
Predicting post-transplant kidney function from pre-transplant biopsy and clinical biomarkers using a convolutional neural network$89,942
F32 · FY2022 · DK · contact PI
Predicting post-transplant kidney function from pre-transplant biopsy and clinical biomarkers using a convolutional neural network$86,458
F32 · FY2021 · DK · contact PI