ArticleToxicological sciences : an official journal of the Society of Toxicology2015
FutureTox II: in vitro data and in silico models for predictive toxicology.
Article in Toxicological sciences : an official journal of the Society of Toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed.
- The modifying effect of dietary index for gut microbiota on the association between urinary arsenic exposure and bladder cancer risk: a nationwide cohort study.Frontiers in nutrition · 2025Article
- Identification of neural-relevant toxcast high-throughput assay intended gene targets: Applicability to neurotoxicity and neurotoxicant putative molecular initiating events.Neurotoxicology · 2024Review
- Protecting Human and Animal Health: The Road from Animal Models to New Approach Methods.Pharmacological reviews · 2024Review
- A new approach methodology to identify tumorigenic chemicals using short-term exposures and transcript profiling.Frontiers in toxicology · 2024Article
- The regulation of endocrine-disrupting chemicals to minimize their impact on health.Nature reviews. Endocrinology · 2023Review
- Current practice and recommendations for advancing how human variability and susceptibility are considered in chemical risk assessment.Environmental health : a global access science source · 2023Review
- A Collaborative Initiative to Establish Genomic Biomarkers for Assessing Tumorigenic Potential to Reduce Reliance on Conventional Rodent Carcinogenicity Studies.Toxicological sciences : an official journal of the Society of Toxicology · 2022Article
- On the Utility of ToxCast-Based Predictive Models to Evaluate Potential Metabolic Disruption by Environmental Chemicals.Environmental health perspectives · 2022Review
- In vivo neurophysiological assessment of in silico predictions of neurotoxicity: Citronellal, 3,4-dichloro-1-butene, and benzyl bromoacetate.Neurotoxicology · 2022Article
- Pluripotent stem cell assays: Modalities and applications for predictive developmental toxicity.Current research in toxicology · 2022Article
- Review
- NanoTox: Development of a ParsimoniousACS omega · 2021Article
- FutureTox IV Workshop Summary: Predictive Toxicology for Healthy Children.Toxicological sciences : an official journal of the Society of Toxicology · 2021Review
- Derivation of a Human In Vivo Benchmark Dose for Perfluorooctanoic Acid From ToxCast In Vitro Concentration-Response Data Using a Computational Workflow for Probabilistic Quantitative In Vitro to In Vivo Extrapolation.Frontiers in pharmacology · 2021Article
- A set of six Gene expression biomarkers and their thresholds identify rat liver tumorigens in short-term assays.Toxicology · 2020Article
- Thresholds Derived From Common Measures in Rat Studies Are Predictive of Liver Tumorigenic Chemicals.Toxicologic pathology · 2020Article
- A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-term Assays.Toxicological sciences : an official journal of the Society of Toxicology · 2020Article
- Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens.Toxicological sciences : an official journal of the Society of Toxicology · 2020Article
- Application of the hard and soft, acids and bases (HSAB) theory as a method to predict cumulative neurotoxicity.Neurotoxicology · 2020Article
- Rethinking drug design in the artificial intelligence era.Nature reviews. Drug discovery · 2020Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
FutureTox II, a Society of Toxicology Contemporary Concepts in Toxicology workshop, was held in January, 2014. The meeting goals were to review and discuss the state of the science in toxicology in the context of implementing the NRC 21st century vision of predicting in vivo responses from in vitro and in silico data, and to define the goals for the future. Presentations and discussions were held on priority concerns such as predicting and modeling of metabolism, cell growth and differentiation, effects on sensitive subpopulations, and integrating data into risk assessment. Emerging trends in technologies such as stem cell-derived human cells, 3D organotypic culture models, mathematical modeling of cellular processes and morphogenesis, adverse outcome pathway development, and high-content imaging of in vivo systems were discussed. Although advances in moving towards an in vitro/in silico based risk assessment paradigm were apparent, knowledge gaps in these areas and limitations of technologies were identified. Specific recommendations were made for future directions and research needs in the areas of hepatotoxicity, cancer prediction, developmental toxicity, and regulatory toxicology.
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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.