Nicole Kleinstreuer Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

National Center for Toxicological Research

faculty

53 h-index 284 pubs 13,775 cited

Research Areas

Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Carcinogens and Genotoxicity Assessment Computational Drug Discovery Methods Health and Medical Research Impacts Meta-analysis and systematic reviews AI in cancer detection

Links

ORCID

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OverviewAI-generated summary

Nicole Kleinstreuer's research focuses on the development and application of new approach methodologies (NAMs) in toxicology, particularly as alternatives to traditional animal testing. Her work investigates how to establish scientific confidence in these novel methods, aiming to facilitate their integration into regulatory toxicology and risk assessment processes. This includes the development of *in silico* models and frameworks for using *in vitro* toxicity data in decision-making.

Her publications have explored large-scale modeling of toxicity endpoints using artificial intelligence and deep learning, emphasizing the impact of data quality on the reliability of these computational models. Kleinstreuer also studies the variability inherent in animal toxicity studies, such as acute oral systemic toxicity in rats. Her research network includes collaborators from the National Center for Toxicological Research, with whom she has co-authored multiple publications. Kleinstreuer is recognized as a highly cited researcher, with a significant publication record and citation count.

Metrics

h-index: 53
Publications: 284
Citations: 13,775

Selected Publications

Challenges and opportunities for validation of AI-based new approach methods (2025) DOI
The skin allergy risk assessment-integrated chemical environment (SARA-ICE) defined approach to derive points of departure for skin sensitization (2024) DOI
Democratizing cheminformatics: interpretable chemical grouping using an automated KNIME workflow (2024) DOI
Unlocking the Potential of Clustering and Classification Approaches: Navigating Supervised and Unsupervised Chemical Similarity (2024) DOI
Integrated Approach for Testing and Assessment for Developmental Neurotoxicity (DNT) to Prioritize Aromatic Organophosphorus Flame Retardants (2024) DOI
Differences in the anatomy and physiology of the human and rat respiratory tracts and impact on toxicological assessments (2024) DOI
60 Years of the 3Rs symposium: Lessons learned and the road ahead (2024) DOI
Evaluation of in silico model predictions for mammalian acute oral toxicity and regulatory application in pesticide hazard and risk assessment (2024) DOI
Use of human predictive patch test (HPPT) data for the classification of skin sensitization hazard and potency (2024) DOI
Free and open-source QSAR-ready workflow for automated standardization of chemical structures in support of QSAR modeling (2024) DOI
Artificial intelligence (AI)—it’s the end of the tox as we know it (and I feel fine)* (2024) DOI
Examining animal testing for risk assessment: A WC-12 workshop report (2024) DOI
Computational application of internationally harmonized defined approaches to skin sensitization: DASS App (2024) DOI
Report of the Assay Guidance Workshop on 3-Dimensional Tissue Models for Antiviral Drug Development (2023) DOI
International regulatory uses of acute systemic toxicity data and integration of new approach methodologies (2023) DOI