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Geoffrey H Tison
University Of California, San Francisco
$3,172,866
Attributed
$3,172,866
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. They are the sole PI on all grants (the two match).
Funding over time
peak $1.5M · FY2018–23$2M$1.5M$1M$500K$0
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$3,172,866 · 3
By mechanism
DP2$1,453,500 · 1
K23$998,541 · 1
R56$720,825 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Rima Arnaout$6,406,148
- Vivek Ashok Rudrapatna$427,092
- Anna Katherine Hatstat$363,795
- Jeffrey B Cheng$834,138
- Erica Davonne Farrand$449,709
Others in their field
Other Emerging Leaders on “Heart Failure”
- Federico Cividini · Cardiac Rsk3 Inhibitors, Llc$10,153,043
- Ionut Bebu · George Washington University$9,972,097
- Barbara Halina Braffett · George Washington University$9,972,097
- Bing Yu · University Of Tx Md Anderson Can Ctr$7,842,501
- Alexander Egbe · Mayo Clinic Rochester$7,415,297
- Daniel Timms · Bivacor, Inc.$7,380,386
Research focus
Heart FailureInnovationTrainingPhysiologicalBaseHospitalizationUniversitiesCaliforniaNovel StrategiesUnited States National Institutes Of HealthElectronic Health RecordMachine LearningNational Heart, Lung, And Blood InstituteMedicalUpdateFutureBig Biomedical DataBehavior ChangeAmbulatory CareClinical DataClinical TrialsClinical Trials DesignAwardCareer
Grant awards (7)
A physiologically-focused approach to training multi-modality AI algorithms in medicine$1,453,500
DP2 · FY2023 · HL · contact PI
Developing a platform for deep phenotyping of heart failure with preserved ejection fraction using raw, widely-available, multi-modality data and artificial intelligence algorithms$720,825
R56 · FY2022 · HL · contact PI
Dynamic prediction of heart failure using real-time functional status and EHR data in the ambulatory setting$184,669
K23 · FY2022 · HL · contact PI
Dynamic prediction of heart failure using real-time functional status and EHR data in the ambulatory setting$203,678
K23 · FY2021 · HL · contact PI
Dynamic prediction of heart failure using real-time functional status and EHR data in the ambulatory setting$203,397
K23 · FY2020 · HL · contact PI
Dynamic prediction of heart failure using real-time functional status and EHR data in the ambulatory setting$203,257
K23 · FY2019 · HL · contact PI
Dynamic prediction of heart failure using real-time functional status and EHR data in the ambulatory setting$203,540
K23 · FY2018 · HL · contact PI