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Dina Katabi
Massachusetts Institute Of Technology
$642,126
Attributed
$642,126
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 $276.9K · FY2022–24$500K$375K$250K$125K$0
'22
'23
'24
Funding mix
By agency
NIH$642,126 · 1
By mechanism
R01$642,126 · 1
Top collaborators
No co-investigators on record.
Most similar at Massachusetts Institute Of Technology
Same institution · by research overlap
- Stephen S Intille$6,740,397
- Matthew A. Wilson$9,492,975
- Samuel Madden$4,327,524
- Deblina Sarkar$5,603,702
- Hugh M Herr$4,067,193
Others in their field
Other Rising Stars on “Adherence”
- Dennis Eyler · Fisher Bioservices, Inc.$16,341,540
- Matthew Morrow Engelhard · Duke University$7,519,665
- Andrew Gardiner · Libero Pharma Limited$6,351,015
- Richard Schrock · Fisher Bioservices, Inc.$5,879,422
- Christopher J. Lindsell · Vanderbilt University Medical Center$5,384,363
- Charles Daniel Meyers · Tempero Bio, Inc.$5,310,920
Research focus
AdherenceActigraphyArtificial IntelligenceAwakeAffectBehaviorBody PartBreathingChildChronic ItchChronic PainCircadian RhythmsClinicClinical ResearchClinical TrialsCollaborationsCommunitiesDevicesDisease ManagementDrug DevelopmentEnvironmentExpenditureFallsFda Approved
Grant awards (3)
Developing an Objective and Quantifiable Measure of Itch Using Artificial Intelligence and Radio Signals$103,072
R01 · FY2024 · AR · contact PI
Developing an Objective and Quantifiable Measure of Itch Using Artificial Intelligence and Radio Signals$262,152
R01 · FY2023 · AR · contact PI
Developing an Objective and Quantifiable Measure of Itch Using Artificial Intelligence and Radio Signals$276,902
R01 · FY2022 · AR · contact PI