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

Authors

134

  1. CA
    Christopher Ahern

    University of Pennsylvania, United States

    2 publications · 30 citations

    2

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  2. CG
    Christopher G. Berlind

    Cohera Medical (United States), United States

    2 publications · 30 citations

    2

    h-index

  3. DL
    Dawn L. Hershman

    Columbia University, United States

    2 publications · 73 citations

    2

    h-index

  4. JP
    Jay P. Reddy

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 30 citations

    2

    h-index

  5. BD
    Benjamin D. Smith

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 30 citations

    2

    h-index

1–5 of 134

Venues

  1. 4

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  2. Journal of Hazardous Materials

    2 publications · 54 citations

    2

    h-index

  3. Clinical Trials

    1 publications · 43 citations

    1

    h-index

  4. Biometrics

    1 publications · 148 citations

    1

    h-index

  5. Zebrafish

    1 publications · 13 citations

    1

    h-index

1–5