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Thomas Zhihe Li
Vanderbilt University
$140,735
Attributed
$140,735
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 $54.5K · FY2023–25$100K$75K$50K$25K$0
'23
'24
'25
Funding mix
By agency
NIH$140,735 · 1
By mechanism
F30$140,735 · 1
Top collaborators
No co-investigators on record.
Most similar at Vanderbilt University
Same institution · by research overlap
- Jason H. Moore$43,668,296
- Marylyn D Ritchie$17,567,522
- Bennett A. Landman$8,000,368
- Alexander Robertson Allan Anderson$14,176,750
- Wesley H Self$22,565,588
Others in their field
Other Rising Stars on “Advanced Malignant Neoplasm”
- Michael Difilippantonio · Leidos Biomedical Research, Inc.$22,364,766
- Alanna Maguire · Mayo Clinic Rochester$9,942,431
- Cathryn Peltz · Henry Ford Health + Michigan State University Health Sciences$7,977,678
- Channapatna S. Prakash · Tuskegee University$7,931,772
- Paola A Ramos · Mayo Clinic Rochester$7,298,203
- Erin Leahy · Icf, Inc., Llc$6,884,676
Research focus
Advanced Malignant NeoplasmAnxietyAnxiety ReductionAlgorithmsArchivesAreaArtificial IntelligenceArtificial Intelligence MethodAptitudeAwardBenignBig DataBiomedical InformaticsBiometryCancer ImagingCancer SubtypesCareerCessation Of LifeCharacteristicsChest Computed TomographyClassificationClinical InformaticsClinically ActionableClinical Management
Grant awards (3)
Risk stratifying indeterminate pulmonary nodules with jointly learned features from longitudinal radiologic and clinical big data$54,538
F30 · FY2025 · CA · contact PI
Risk stratifying indeterminate pulmonary nodules with jointly learned features from longitudinal radiologic and clinical big data$53,351
F30 · FY2024 · CA · contact PI
Risk stratifying indeterminate pulmonary nodules with jointly learned features from longitudinal radiologic and clinical big data$32,846
F30 · FY2023 · CA · contact PI