Predictive Response Modeling
Predictive Response Modeling is a computational framework in immunotherapy pharmacogenomics that belongs to the class of predictive modeling methods and is specifically differentiated by its focus on integrating genomic and immune response data to forecast individual patient outcomes to immunotherapeutic interventions.
169
Publications
11K
Citations
1.3K
Authors
560
Institutions
Publications per year
2017–2026
108
169
Safety and dose modification for patients receiving niraparib
Jonathan S. Berek, Ursula A. Matulonis, Ulla Peen et al. · Annals of Oncology · 2018 · 187 citations
Pharmacy, Oncology, Pharmacology +17
Ronald L. Simons, Man‐Kit Lei, Steven R. H. Beach et al. · Developmental Psychology · 2018 · 183 citations · Full text
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Harvard University
Cambridge, United States
10 h-index
30 publications
1.2K citations
Dana-Farber Cancer Institute
Boston, United States
8 h-index
17 publications
937 citations
Stanford University
Stanford, United States
7 h-index
22 publications
1.1K citations

University of Amsterdam
Amsterdam, The Netherlands
6 h-index
14 publications
469 citations
University Medical Center Utrecht
Utrecht, The Netherlands
6 h-index
15 publications
511 citations
AIDS Vancouver
Vancouver, Canada
5 h-index
9 publications
348 citations
Massachusetts General Hospital
Boston, United States
5 h-index
19 publications
689 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
5 h-index
15 publications
365 citations
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8 publications · 2.9K citations
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6 publications · 457 citations
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6 publications · 465 citations
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5 publications · 151 citations
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5 publications · 176 citations
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