Development of an in silico evaluation system that quantitatively predicts skin sensitization using OECD Guideline No. 497 ITSv2 defined approach for skin sensitization classification-Reference-Cited by-同舟云学术

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Development of an in silico evaluation system that quantitatively predicts skin sensitization using OECD Guideline No. 497 ITSv2 defined approach for skin sensitization classification

Published:2024-03 Issue: Volume:185 Page:114444
ISSN:0278-6915
Container-title:Food and Chemical Toxicology
language:en
Short-container-title:Food and Chemical Toxicology

Author:

Asai Takaho^ORCID,Umeshita Kazuhiko,Sakurai Michiko,Sakane Shinji

Publisher

Elsevier BV

Reference25 articles.

1. Optuna: A Next-Generation Hyperparameter Optimization Framework;Akiba,2019

2. Development of quantitative model of a local lymph node assay for evaluating skin sensitization potency applying machine learning CatBoost;Ambe;Regul. Toxicol. Pharmacol.,2021

3. The SCCS Note of Guidance for the Testing of Cosmetic Ingredients and Their Safety Evaluation–10th Revision;Bernauer,2018

4. Read-across Assessment Framework (RAAF). ECHA‐17‐R‐01‐EN,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI in Predictive Toxicology;Advances in Medical Technologies and Clinical Practice;2024-09-27

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