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Shamim Nemati
University Of California, San Diego
$8,324,655
Attributed
$9,757,594
Total exposure
6
Grants
6
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 $2.1M · FY2015–25$2.5M$1.9M$1.3M$625K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$9,757,594 · 6
By mechanism
R01$4,208,878 · 2
R35$2,244,171 · 1
T15$1,959,507 · 1
K01$951,080 · 1
R56$393,958 · 1
Top collaborators
- Atul Malhotra4 shared
Most similar at University Of California, San Diego
Same institution · by research overlap
- Michael G Rosenfeld$73,496,650
- Steffanie A Strathdee$53,933,577
- Christopher K Glass$71,096,171
- Scott T Weiss$73,772,324
- Mark H Ellisman$83,284,775
Others in their field
Top investigators on “Hospitals”
- Larry Arthur$288,323,000
- Glenda E Gray · Wits Health Consortium (Pty), Ltd$230,275,254
- Judith S. Currier · University Of California Los Angeles$223,149,861
- Gerald T Nepom · Benaroya Research Inst At Virginia Mason$221,207,102
- Lawrence Corey · Fred Hutchinson Cancer Center$217,829,567
- Daniel R Kuritzkes · Brigham And Women'S Hospital$179,610,394
Research focus
HospitalsPatternHourPortabilityAlgorithmsComputersPharmaceutical PreparationsResearch PersonnelCaringHospitalizationRisk EstimateEnsureSepsisMedicalElectronic Health RecordInflammationClinical DataDeteriorationTherapeutic InterventionMortalityCritical IllnessData SetInstitutionIntensive Care Units
Grant awards (25)
VentNet: A Real-Time Multimodal Data Integration Model for Prediction of Respiratory Failure in Patients with COVID-19$724,117
R01 · FY2025 · HL · contact PI
San Diego Biomedical Informatics Education & Research (SABER)$453,417
T15 · FY2025 · LM · contact PI
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors$395,000
R35 · FY2025 · GM · contact PI
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records$335,750
R01 · FY2025 · LM · contact PI
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors$197,641
R35 · FY2025 · GM · contact PI
VentNet: A Real-Time Multimodal Data Integration Model for Prediction of Respiratory Failure in Patients with COVID-19$709,635
R01 · FY2024 · HL · contact PI
San Diego Biomedical Informatics Education & Research (SABER)$539,627
T15 · FY2024 · LM · contact PI
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors$395,000
R35 · FY2024 · GM · contact PI
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records$335,750
R01 · FY2024 · LM · contact PI
VentNet: A Real-Time Multimodal Data Integration Model for Prediction of Respiratory Failure in Patients with COVID-19$732,017
R01 · FY2023 · HL · contact PI
San Diego Biomedical Informatics Education & Research (SABER)$520,083
T15 · FY2023 · LM · contact PI
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors$395,000
R35 · FY2023 · GM · contact PI
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records$335,750
R01 · FY2023 · LM · contact PI
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors$71,530
R35 · FY2023 · GM · contact PI
VentNet: A Real-Time Multimodal Data Integration Model for Prediction of Respiratory Failure in Patients with COVID-19$700,109
R01 · FY2022 · HL · contact PI
San Diego Biomedical Informatics Education & Research (SABER)$446,380
T15 · FY2022 · LM · contact PI
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors$395,000
R35 · FY2022 · GM · contact PI
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records$335,750
R01 · FY2022 · LM · contact PI
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors$395,000
R35 · FY2021 · GM · contact PI
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records$393,958
R56 · FY2020 · LM · contact PI
Deep Learning and Streaming Analytics for Prediction of Adverse Events in the ICU$190,216
K01 · FY2019 · ES · contact PI
Deep Learning and Streaming Analytics for Prediction of Adverse Events in the ICU$190,216
K01 · FY2018 · ES · contact PI
Deep Learning and Streaming Analytics for Prediction of Adverse Events in the ICU$190,216
K01 · FY2017 · ES · contact PI
Deep Learning and Streaming Analytics for Prediction of Adverse Events in the ICU$190,216
K01 · FY2016 · ES · contact PI
Deep Learning and Streaming Analytics for Prediction of Adverse Events in the ICU$190,216
K01 · FY2015 · ES · contact PI