NIH #R01CA285801
Multi-cohort validation of machine learning radiogenomic models (ML-RGx) to predict late toxicity in prostate cancer
Active
- Amount
- $1M–$2M
- Period
- 2024-07-01 → 2029-06-30
- PIs
- 3
Awarded at MEDICAL COLLEGE OF WISCONSIN
Jung Hun Oh
Full Professor(heuristic)
Radiomics and Machine Learning in Medical Imaging · Radiology, Nuclear Medicine and Imaging
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h-index39
i10-index106
Publications337
Citations4,848
Grants
2 total · 1 active
NIH #R21CA234752
Radiotherapy-associated breast cancer: machine learning on genotypes to predict individualized risk
- Amount
- $200K–$300K
- Period
- 2020-02-11 → 2022-01-31
- PIs
- 2
Awarded at SLOAN-KETTERING INST CAN RESEARCH
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Recent Public Signals
- New paper: Supplementary Data from Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast Cancer2026-06-17
- New preprint: Personalizing Breast Cancer Treatment with Patient-derived Xenografts (PDX): Analyzing PDXs Fidelity, Stability, and Intra-Tumoral Heterogeneity2025-06-13
- New NIH award: Multi-cohort validation of machine learning radiogenomic models (ML-RGx) to predict late toxicity in prostate cancer2024-07-01
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Data Freshness
- Publications as of 2026-07-09
- Grants as of 2026-09-03
Data may not be current
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ORCID: 0000-0001-8791-2755