Predictive Biomarker Modeling
Predictive Biomarker Modeling is a computational or statistical framework that identifies and validates biomarkers to prospectively stratify patients based on their anticipated therapeutic response within personalized immunotherapy regimens.
180
Publications
8.9K
Citations
1.8K
Authors
709
Institutions
Publications per year
2017–2026
128
180
Yuming Jiang, Qi Zhang, Yanfeng Hu et al. · Annals of Surgery · 2016 · 507 citations
Medicine, Immunology, Oncology +17
MAGIC biomarkers predict long-term outcomes for steroid-resistant acute GVHD
Hannah Major-Monfried, Anne S. Renteria, Attaphol Pawarode et al. · Blood · 2018 · 210 citations · Full text
Multi-omics prediction of immune-related adverse events during checkpoint immunotherapy
Ying Jing, Jin Liu, Youqiong Ye et al. · Nature Communications · 2020 · 208 citations · Full text
Life Sciences, Immunology, Oncology +17
1–5 of 180
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709

Sun Yat-sen University
Guangzhou, China
10 h-index
61 publications
3.8K citations
Sun Yat-sen University Cancer Center
Guangzhou, China
9 h-index
53 publications
2K citations
University of Michigan
Ann Arbor, United States
9 h-index
16 publications
1.1K citations
Harvard University
Cambridge, United States
7 h-index
19 publications
1.2K citations
Dana-Farber Cancer Institute
Boston, United States
6 h-index
44 publications
3.3K citations

Icahn School of Medicine at Mount Sinai
New York, United States
5 h-index
51 publications
4.2K citations

Cornell University
Ithaca, United States
5 h-index
26 publications
518 citations
Fred Hutch Cancer Center
Seattle, United States
5 h-index
11 publications
620 citations
1–8 of 709
14 publications · 627 citations
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8 publications · 192 citations
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7 publications · 284 citations
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5 publications · 327 citations
5
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4 publications · 131 citations
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