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William Edward Lotter
Deephealth, Inc.
$4,394,904
Attributed
$4,394,904
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 $1.6M · FY2019–25$2M$1.5M$1M$500K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,394,904 · 3
By mechanism
R44$2,099,748 · 1
R01$1,602,000 · 1
R21$693,156 · 1
Top collaborators
No co-investigators on record.
Others in their field
Other Emerging Leaders on “Training”
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$73,910,854
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,439,892
- Bambra Strokes · Ppd Development Lp$65,000,267
- Martha Hering · Westat, Inc.$57,098,843
- Peter W Pisters · University Of Tx Md Anderson Can Ctr$56,084,949
- Susan M Landau · University Of California Berkeley$47,252,026
Research focus
TrainingLearningMalignant NeoplasmsData SetPerformanceImageCancer EtiologyDeep LearningComplexValidationDetectionMortalityVariantLesionArtificial IntelligenceInnovationInterestWomanBaseAwardAreaAmerican College Of RadiologyComputer SoftwareClinical Effectiveness
Grant awards (5)
Computational methods for multiplex image analysis of the tumor microenvironment$1,602,000
R01 · FY2025 · LM · contact PI
Improving prognosis prediction and therapy selection for cutaneous squamous cell carcinomas using artificial intelligence$693,156
R21 · FY2024 · EB · contact PI
Towards Clinically Effective AI for Screening Mammography$927,817
R44 · FY2021 · CA · contact PI
Towards Clinically Effective AI for Screening Mammography$919,121
R44 · FY2020 · CA · contact PI
Towards Clinically Effective AI for Screening Mammography$252,810
R44 · FY2019 · CA · contact PI