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Giorgio Quer
Scripps Research Institute, The
$488,125
Attributed
$488,125
Total exposure
1
Grants
1
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 $266.3K · FY2021–22$500K$375K$250K$125K$0
'21
'22
Funding mix
By agency
NIH$488,125 · 1
By mechanism
R21$488,125 · 1
Top collaborators
No co-investigators on record.
Most similar at Scripps Research Institute, The
Same institution · by research overlap
- Laura Nicholson$6,659,223
- Pietro P Sanna$50,542,929
- Gabriel C Lander$12,158,827
Others in their field
Other Emerging Leaders on “Anticoagulants”
- Kevin Navin Sheth · Brigham And Women'S Hospital$8,446,127
- Christina U Lorentz · Aronora, Inc.$5,154,207
- Joshua K Lin · Brigham And Women'S Hospital$5,113,055
- Ying Xian · Ut Southwestern Medical Center$4,232,685
- Geoffrey Douglas Barnes · University Of Michigan At Ann Arbor$4,040,987
- Sunil V Rao · Va Puget Sound Healthcare System$4,012,769
Research focus
AnticoagulantsAlgorithmsBaseClinical DataClinically RelevantAtrial FibrillationCohortCollaborationsComorbidityCostData ScienceData SetDeep LearningClinical TrialsDesignDevicesDiagnosisDiagnosticDiagnostic AccuracyDigital HealthEarly DiagnosisEarly IdentificationEkg P WaveElderly
Grant awards (2)
Predicting Short- and Long-term Future Occurrence of Atrial Fibrillation from Single-Lead ECG in Normal Sinus Rhythm with an Explainable Deep Learning Model.$221,875
R21 · FY2022 · AG · contact PI
Predicting Short- and Long-term Future Occurrence of Atrial Fibrillation from Single-Lead ECG in Normal Sinus Rhythm with an Explainable Deep Learning Model.$266,250
R21 · FY2021 · AG · contact PI