Predictive Toxicity Models
Predictive Toxicity Models is a computational or statistical framework designed to estimate the likelihood and severity of adverse effects from chemotherapy in older adults by integrating patient-specific factors, pharmacokinetic profiles, and treatment regimens to enhance clinical decision-making.
212
Publications
13.6K
Citations
1.6K
Authors
650
Institutions
Publications per year
2017–2026
92
212
Utz Krug, Christoph Röllig, Anja Koschmieder et al. · The Lancet · 2010 · 305 citations
Medicine, Hematology, Oncology +16
1–5 of 212
1.6K
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6
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University of Rochester Medical Center, United States
6 publications · 877 citations
6
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6
h-index
1–5 of 1.6K
650
Memorial Sloan Kettering Cancer Center
New York, United States
9 h-index
47 publications
1.7K citations
City of Hope
Lancaster, United States
8 h-index
38 publications
3.5K citations
University of Pennsylvania
Philadelphia, United States
7 h-index
13 publications
873 citations
Inserm
Paris, France
7 h-index
17 publications
699 citations

Wake Forest University
Winston-Salem, United States
5 h-index
10 publications
677 citations

Institut Gustave Roussy
Villejuif, France
5 h-index
7 publications
211 citations
The Netherlands Cancer Institute
Amsterdam, The Netherlands
5 h-index
22 publications
509 citations
Duke University
Durham, United States
5 h-index
12 publications
2.3K citations
1–8 of 650
10 publications · 430 citations
10
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9 publications · 1.1K citations
9
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9 publications · 937 citations
9
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BJC · 7 publications · 344 citations
7
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Repository · 5 publications · 373 citations
5
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1–5