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Privacy-aware community infrastructureYax Thakkar, Danielle Botelho, Anne Marie Api
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Integrating habits and practices data for soaps, cosmetics, and air care products into an aggregate exposure model
2015
Integrating habits and practices data for soaps, cosmetics and air care products into an existing aggregate exposure model
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The predictivity of QSARs for toxicity: Recommendations for improving model performance
10.1016/j.comtox.2024.100338 · 2025
The EDKB: An established knowledge base for endocrine-disrupting chemicals
10.1186/1471-2105-11-s6-s5 · 2010
ToxMCP: Guardrailed, auditable agentic workflows for computational toxicology via the Model Context Protocol
2026
FAIR models in toxicology: Principles, implementation and regulatory relevance
2025
Unresolved referenced work
Kept as external metadata until matched
Deep learning in drug discovery
10.1002/minf.201501008 · 2016
The good, the bad, and the perplexing: Structural alerts and read-across for predicting skin sensitization using human data
10.1021/acs.chemrestox.2c00383 · 2023
Artificial intelligence as the new frontier in chemical risk assessment
10.3389/frai.2023.1269932 · 2023
Tox21Challenge to build predictive models of nuclear receptor and stress response pathways as mediated by exposure to environmental chemicals and drugs
10.3389/fenvs.2015.00085 · 2016
The first eNanoMapper ontology-based data model and database for engineered nanomaterials
2021
Incorporating Singaporean habits and practices for cosmetics and personal care products into a global consumer aggregate exposure model
10.1016/j.yrtph.2024.105752 · 2025
Exploratory data analysis by the self-organizing map: Structures of welfare and poverty in the world and in Finland
1996
Artificial intelligence (AI)—It’s the end of the tox as we know it (and I feel fine)
10.1007/s00204-023-03666-2 · 2024
Classifying and segmenting microscopy images with deep neural networks
2017
Large language models and their applications in drug discovery and development: A primer
10.1111/cts.70205 · 2025
CERAPP: Collaborative estrogen receptor activity prediction project
10.1289/ehp.1510267 · 2016
Improvements and additions to the Multiple Path Particle Dosimetry model
10.1016/j.jaerosci.2016.01.018 · 2016
Test No. 498: In Vitro Phototoxicity — Reconstructed Human Epidermis Phototoxicity Test Method
2019
Practical guidance for implementing FAIR principles in computational toxicology model repositories
2025
JPlogP: An improved logP predictor trained using predicted data
10.1186/s13321-018-0316-5 · 2018
Use of an aggregate exposure model to estimate consumer exposure to fragrance ingredients in personal care and cosmetic products
10.1016/j.yrtph.2015.05.017 · 2015
Application of the expanded Creme RIFM consumer exposure model to fragrance ingredients in cosmetic, personal care and air care products
10.1016/j.yrtph.2017.02.021 · 2017
Corrigendum to "Use of an aggregate exposure model to estimate consumer exposure to fragrance ingredients in personal care and cosmetic products"
10.1016/j.yrtph.2023.105545 · 2024
10.1021/acs.chemrestox.5c00033
10.1021/acs.chemrestox.5c00033
Critical assessment of QSAR models of environmental toxicity against Tetrahymena pyriformis: focusing on applicability domain and overfitting by variable selection
10.1021/ci800151m · 2008
Improving the human hazard characterization of chemicals: A Tox21 update
10.1289/ehp.1205784 · 2013
10.1002/9783527628766
10.1002/9783527628766
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
The FAIR guiding principles for scientific data management and stewardship
10.1038/sdata.2016.18 · 2016
Structure and the absorption spectra of α,β-unsaturated ketones
10.1021/ja01849a066 · 1941
No additional external references are available.