← Leaderboards
Benjamin Alan Goldstein
Stanford University
$5,376,207
Attributed
$5,910,803
Total exposure
6
Grants
4
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 $1.2M · FY2013–25$2M$1.5M$1M$500K$0
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$5,910,803 · 6
By mechanism
R01$2,637,112 · 1
P50$1,407,283 · 1
R21$1,069,193 · 3
K25$797,215 · 1
Top collaborators
- Jason E. Lang2 shared
- Nina Sperber2 shared
- Lauren Franz1 shared
Most similar at Stanford University
Same institution · by research overlap
- Theo D Palmer$18,387,011
- Joachim F Hallmayer$22,996,573
- Liqun Luo$24,204,694
- Wendy Wenderski$477,086
- Jane Paik Kim$1,833,811
Others in their field
Top investigators on “Machine Learning”
- Rebecca Montalvan · Westat, Inc.$86,600,000
- Wesley Ian Sundquist · Utah State Higher Education System--University Of Utah$46,614,652
- Anastasia Ivanova · Univ Of North Carolina Chapel Hill$41,868,682
- Jeffrey P Krischer · University Of South Florida$37,558,771
- Lisa Lavange · Univ Of North Carolina Chapel Hill$36,598,080
- Arie Kapteyn · Rand Corporation$33,957,786
Research focus
Machine LearningFutureMedicalElectronic Health RecordClinical CareInnovationCaringBiological MarkersBaseEnvironmentProviderHospitalizationDemographicsInsightUsabilityCessation Of LifeMonitorDialysis ProcedureInfectionCollaborationsHemodialysisEvaluationHemodynamicsEvent
Grant awards (20)
Leveraging routinely collected health data to improve early identification of autism and co-occurring conditions$341,025
P50 · FY2025 · HD · contact PI
Advancing Identification of Late-Talking Children and Mapping their Developmental Trajectories Using Real World Data from Electronic Health Records$442,750
R21 · FY2024 · DC · contact PI
Leveraging routinely collected health data to improve early identification of autism and co-occurring conditions$341,025
P50 · FY2024 · HD · contact PI
Predictive Analytics in Hemodialysis: Enabling Precision Care for Patient with ESKD$536,059
R01 · FY2023 · DK · contact PI
Leveraging routinely collected health data to improve early identification of autism and co-occurring conditions$490,520
P50 · FY2023 · HD · contact PI
Engaging Multidisciplinary Health System Stakeholders to Create a Process for Implementing Machine-Learning Enabled Clinical Decision Support$210,105
R21 · FY2023 · LM
Predictive Analytics in Hemodialysis: Enabling Precision Care for Patient with ESKD$512,937
R01 · FY2022 · DK · contact PI
Predictive Analytics in Hemodialysis: Enabling Precision Care for Patient with ESKD$321,952
R01 · FY2022 · DK · contact PI
Leveraging routinely collected health data to improve early identification of autism and co-occurring conditions$234,713
P50 · FY2022 · HD · contact PI
Engaging Multidisciplinary Health System Stakeholders to Create a Process for Implementing Machine-Learning Enabled Clinical Decision Support$175,088
R21 · FY2022 · LM
Predictive Analytics in Hemodialysis: Enabling Precision Care for Patient with ESKD$520,905
R01 · FY2021 · DK · contact PI
Predictive Analytics in Hemodialysis: Enabling Precision Care for Patient with ESKD$745,259
R01 · FY2020 · DK · contact PI
Multifactorial spatiotemporal analyses to evaluate environmental triggers and patient-level clinical characteristics of severe asthma exacerbations in children$120,750
R21 · FY2020 · HL
Multifactorial spatiotemporal analyses to evaluate environmental triggers and patient-level clinical characteristics of severe asthma exacerbations in children$120,500
R21 · FY2019 · HL
Understanding and predicting cardiac events in HD using real-time EHRs$156,686
K25 · FY2017 · DK · contact PI
Understanding and predicting cardiac events in HD using real-time EHRs$157,765
K25 · FY2016 · DK · contact PI
Understanding and predicting cardiac events in HD using real-time EHRs$159,162
K25 · FY2015 · DK · contact PI
Understanding and predicting cardiac events in HD using real-time EHRs$130,765
K25 · FY2014 · DK · contact PI
Understanding and predicting cardiac events in HD using real-time EHRs$31,657
K25 · FY2014 · DK · contact PI
Understanding and predicting cardiac events in HD using real-time EHRs$161,180
K25 · FY2013 · DK · contact PI