ArticleToxicological sciences : an official journal of the Society of Toxicology2019
Oy Vey! A Comment on "Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships Outperforming Animal Test Reproducibility".
Article in Toxicological sciences : an official journal of the Society of Toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- New Frontiers of Drug Development Through the Use of New Approach Methodologies.The AAPS journal · 2026Review
- An approach to uncover significant direct and mediated relationships in multi-dimensional new approach methods (NAMs) data: A case study of hazard evaluation of petroleum UVCBs.The Science of the total environment · 2025Article
- A benchmark dataset for machine learning in ecotoxicology.Scientific data · 2023Article
- Leakage and the reproducibility crisis in machine-learning-based science.Patterns (New York, N.Y.) · 2023Article
- Review
- STopTox: AnEnvironmental health perspectives · 2022Article
- Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.Artificial intelligence in the life sciences · 2021Article
- Curated Data In - TrustworthyAlternatives to laboratory animals : ATLA · 2021Review
- Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability.International journal of molecular sciences · 2019Article
- In silico toxicology: From structure-activity relationships towards deep learning and adverse outcome pathways.Wiley interdisciplinary reviews. Computational molecular scienceReview
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Authors and funding
7 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.