REVIEW
Published on 26 Nov 2024
AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability
doi 10.3389/ftox.2024.1461587
- 517 views
- Frontiers in Toxicology
- In Vitro Toxicology
- Research Topics
- Leveraging Artificial Intelligence and Open Science for Toxicological Risk Assessment
Leveraging Artificial Intelligence and Open Science for Toxicological Risk Assessment
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REVIEW
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- 1 citation
METHODS
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sendigR: an R package to leverage the value of CDISC SEND datasets for cross-study analysis
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- 1 citation
ORIGINAL RESEARCH
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The application of natural language processing for the extraction of mechanistic information in toxicology
doi 10.3389/ftox.2024.1393662
- 4,784 views
- 1 citation
ORIGINAL RESEARCH
Published on 05 Oct 2022
Cross clinical-experimental-computational qualification of in silico drug trials on human cardiac purkinje cells for proarrhythmia risk prediction
doi 10.3389/ftox.2022.992650
- 6,522 views
- 6 citations
Published in
Frontiers in Toxicology
- In Vitro Toxicology
- Computational Toxicology and Informatics
Participating Journals
Frontiers in Artificial Intelligence
- 3.0 impact factor
- 6.1 citescore
Frontiers in Big Data
- 2.4 impact factor
- 5.2 citescore
Impact
- 17kTopic views
- 14kArticle views
- 1,748Article downloads