Toxicity Grading Algorithms
Toxicity Grading Algorithms is a computational methodology within toxicity assessment frameworks that systematically quantifies the severity of adverse biological effects by applying predefined criteria or machine learning models to classify toxicity levels across graded scales.
18
Publications
1.1K
Citations
134
Authors
55
Institutions
Publications per year
2017–2026
9
Parents
18
Comprehensive Criteria for Assessing Therapy-Induced Toxicity
Jaffer A. Ajani, Susan Welch, Martin N. Raber et al. · Cancer Investigation · 1990 · 240 citations
Pharmacy, Pharmacology, Toxicology +17
1–5 of 18
134
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The University of Texas MD Anderson Cancer Center, United States
2 publications · 30 citations
2
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The University of Texas MD Anderson Cancer Center, United States
2 publications · 30 citations
2
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1–5 of 134
55
The University of Texas MD Anderson Cancer Center
Houston, United States
4 h-index
19 publications
1.4K citations
Cohera Medical (United States)
Pittsburgh, United States
2 h-index
4 publications
60 citations
United States Food and Drug Administration
Silver Spring, United States
2 h-index
11 publications
244 citations
Emory University
Atlanta, United States
2 h-index
3 publications
119 citations
University of Arizona
Tucson, United States
1 h-index
7 publications
91 citations
National Institute of Environmental Health Sciences
Durham, United States
1 h-index
1 publications
84 citations
Case Western Reserve University
Cleveland, United States
1 h-index
1 publications
19 citations
European Institute of Oncology
Milan, Italy
1 h-index
8 publications
568 citations
1–8 of 55
4 publications · 202 citations
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2 publications · 54 citations
2
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1 publications · 43 citations
1
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1 publications · 148 citations
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1 publications · 13 citations
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