Julian Clint Hong

University Of California, San Francisco

$1,220,374

Attributed

$1,220,374

Total exposure

Grants

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 $475.2K · FY2023–25

$500K$375K$250K$125K$0

'23

'24

'25

Funding mix

By agency

NIH$1,220,374 · 1

By mechanism

R01$1,220,374 · 1

Top collaborators

No co-investigators on record.

Most similar at University Of California, San Francisco

Same institution · by research overlap

Carmen L. Masson$6,521,534
Elad Ziv$19,093,596
Meghan D Morris$5,979,123
Monica Gandhi$27,077,063
Gustavo Eduardo Velasquez$1,241,431

Others in their field

Other Rising Stars on “Acute Care”

Christopher J. Lindsell · Vanderbilt University Medical Center$8,681,098
Michael E. Roth · Public Health Institute$8,201,777
Agustin G Yip · Albert Einstein College Of Medicine$6,090,308
Vel Murugan · Arizona State University-Tempe Campus$6,010,715
Stacey House · Washington University$5,994,662
John Paderi John Paderi John Paderi · Ihp Therapeutics, Inc.$5,881,537

Research focus

Acute CareAccident And Emergency DepartmentAppleArtificial IntelligenceAffectAsianBlack RaceBostonCaliforniaCancer CareCancer TherapyCaringChemoradiationChemotherapyChemotherapy And/Or RadiationClinical DataClinical PracticeClinical TrialsCohortCommunity PracticeComorbidityComplementComputer SoftwareCost

Grant awards (3)

Multi-institutional validation of a multi-modal machine learning algorithm to predict and reduce acute care during cancer therapy$475,152

R01 · FY2025 · CA · contact PI

Multi-institutional validation of a multi-modal machine learning algorithm to predict and reduce acute care during cancer therapy$356,096

R01 · FY2024 · CA · contact PI

Multi-institutional validation of a multi-modal machine learning algorithm to predict and reduce acute care during cancer therapy$389,126

R01 · FY2023 · CA · contact PI