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Gary Weissman

University Of Pennsylvania

$3,005,893
Attributed
$4,273,034
Total exposure
5
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 $2M · FY201825
$2.5M$1.9M$1.3M$625K$0
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$4,273,034 · 5

By mechanism

R01$2,284,095 · 2
K23$932,689 · 1
R35$812,500 · 1
R03$243,750 · 1

Top collaborators

Most similar at University Of Pennsylvania

Same institution · by research overlap

Others in their field

Other Emerging Leaders on “Caring

Research focus

CaringCostCommunitiesDesignElectronic Health RecordAdultChronic Lung DiseaseHospitalizationData SourcesOutpatientsHealth SystemFutureResponsePerformanceStructureRandomized TrialTrainingMachine LearningHospitalsCharacteristicsClinical Decision SupportAccountingCareer DevelopmentDiagnosis

Grant awards (12)

Precision Approaches to Reduce Asthma Disparities with Electronic Health Record Data$767,057
R01 · FY2025 · HL · contact PI
SMART-SEPSIS: Sequential MAchine learning for individualized Response to early Treatment in lung SEPSIS$750,561
R01 · FY2025 · HL
Improving sepsis care with AI-based clinical decision support$406,250
R35 · FY2025 · GM · contact PI
Building equitable and feasible clinical decision support tools for population health management of people living with chronic lung disease$121,875
R03 · FY2025 · HL · contact PI
Precision Approaches to Reduce Asthma Disparities with Electronic Health Record Data$766,477
R01 · FY2024 · HL · contact PI
Improving sepsis care with AI-based clinical decision support$406,250
R35 · FY2024 · GM · contact PI
Building equitable and feasible clinical decision support tools for population health management of people living with chronic lung disease$121,875
R03 · FY2024 · HL · contact PI
Using natural language processing and machine learning to identify potentially preventable hospital admissions among outpatients with chronic lung diseases$173,801
K23 · FY2022 · HL · contact PI
Using natural language processing and machine learning to identify potentially preventable hospital admissions among outpatients with chronic lung diseases$173,801
K23 · FY2021 · HL · contact PI
Using natural language processing and machine learning to identify potentially preventable hospital admissions among outpatients with chronic lung diseases$194,806
K23 · FY2020 · HL · contact PI
Using natural language processing and machine learning to identify potentially preventable hospital admissions among outpatients with chronic lung diseases$195,076
K23 · FY2019 · HL · contact PI
Using natural language processing and machine learning to identify potentially preventable hospital admissions among outpatients with chronic lung diseases$195,205
K23 · FY2018 · HL · contact PI