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Beatriz Penalver Bernabe
University Of Illinois At Chicago
$2,180,213
Attributed
$2,389,891
Total exposure
3
Grants
3
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 · FY2023–25$2M$1.5M$1M$500K$0
'23
'24
'25
Funding mix
By agency
NIH$2,389,891 · 3
By mechanism
R01$1,344,636 · 1
R21$1,045,255 · 2
Top collaborators
- Yang Dai1 shared
Most similar at University Of Illinois At Chicago
Same institution · by research overlap
- Ji-Yong Julie Kim$19,641,882
- Tonda L Hughes$11,135,841
- Lindsey Garfield$808,082
- Ravinder K Gill$3,790,297
- Joanna E Burdette$8,615,329
Others in their field
Other Rising Stars on “Preventive Intervention”
- Rebecca Montalvan · Westat, Inc.$86,600,000
- Daniel Hunter Reirden · Westat, Inc.$16,121,731
- Jon White · Midwest Research Institute$15,727,958
- Jennifer Lee O'Brien · University Of South Florida$15,110,862
- Cynthia M Visness · Rho Federal Systems Division, Inc.$14,006,776
- Suma Babu · Massachusetts General Hospital$9,673,541
Research focus
Preventive InterventionNot Hispanic Or LatinoAffectMachine LearningMetabolismNetwork ModelsDepressive SymptomsFutureLatina PopulationLow IncomeCommunicationMetabolicMetabolomicsMultiple OmicsHigh Risk WomanBiochemical PathwayAntepartum DepressionEthnic OriginImmuneBrainLinkLongitudinal StudiesBlack WomenMachine Learning Model
Grant awards (4)
Prediction, mechanisms and causality: a systems biology approach to elucidate the role of the dynamic interplay between maternal and microbial systems in the pathobiology of perinatal depression$655,227
R01 · FY2025 · HD · contact PI
Prediction, mechanisms and causality: a systems biology approach to elucidate the role of the dynamic interplay between maternal and microbial systems in the pathobiology of perinatal depression$689,409
R01 · FY2024 · HD · contact PI
Utilizing spatially-informed cell-specific multicellular genome-scale metabolic models to unveil the mechanisms that regulate the decline of the ovarian reserve$625,898
R21 · FY2024 · AG · contact PI
Integration of electronic medical records and neighborhood contextual indicators into machine learning strategies for identifying pregnant individuals at risk of depression in underserved communities$419,357
R21 · FY2023 · HD · contact PI