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November 5, 2017
Computational approaches to chemical hazard assessment
Thomas Luechtefeld, Thomas Hartung
Current Environmental Health Reports
|
December 5, 2025
Navigating the AI Frontier in Toxicology: Trends, Trust, and Transformation
Thomas Luechtefeld, Thomas Hartung
Frontiers in Artificial Intelligence
|
June 19, 2026
Evidence-based AI: from trailblazer to trustblazer?
Thomas Luechtefeld, Thomas Hartung
Frontiers in Toxicology
|
February 27, 2025
Editorial: Leveraging artificial intelligence and open science for toxicological risk assessment
Marc Teunis, Thomas Luechtefeld, Thomas Hartung
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
December 1, 2018
Missing the Difference Between Big Data and Artificial Intelligence in RASAR Versus Traditional QSAR
Thomas Luechtefeld, Dan Marsh, Thomas Hartung
Toxicology Research
|
October 13, 2018
Big-data and machine learning to revamp computational toxicology and its use in risk assessment
Thomas Luechtefeld, Craig Rowlands, Thomas Hartung
ALTEX
|
October 24, 2024
E-validation - Unleashing AI for validation
Thomas Hartung, Alexandra Maertens, Thomas Luechtefeld
Archives of Toxicology
|
April 9, 2015
MPTP's pathway of toxicity indicates central role of transcription factor SP1
Alexandra Maertens, Thomas Luechtefeld, Andre Kleensang, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
July 15, 2018
Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility
Thomas Luechtefeld, Dan Marsh, Craig Rowlands, et al.
ALTEX
|
January 9, 2024
Alternative methods go green! Green toxicology as a sustainable approach for assessing chemical safety and designing safer chemicals
Alexandra Maertens, Thomas Luechtefeld, Jean Knight, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 41) with videos related to
Sort By:
Page
of 5
ALTEX
|
November 5, 2017
Computational approaches to chemical hazard assessment
Thomas Luechtefeld, Thomas Hartung
Current Environmental Health Reports
|
December 5, 2025
Navigating the AI Frontier in Toxicology: Trends, Trust, and Transformation
Thomas Luechtefeld, Thomas Hartung
Frontiers in Artificial Intelligence
|
June 19, 2026
Evidence-based AI: from trailblazer to trustblazer?
Thomas Luechtefeld, Thomas Hartung
Frontiers in Toxicology
|
February 27, 2025
Editorial: Leveraging artificial intelligence and open science for toxicological risk assessment
Marc Teunis, Thomas Luechtefeld, Thomas Hartung
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
December 1, 2018
Missing the Difference Between Big Data and Artificial Intelligence in RASAR Versus Traditional QSAR
Thomas Luechtefeld, Dan Marsh, Thomas Hartung
Toxicology Research
|
October 13, 2018
Big-data and machine learning to revamp computational toxicology and its use in risk assessment
Thomas Luechtefeld, Craig Rowlands, Thomas Hartung
ALTEX
|
October 24, 2024
E-validation - Unleashing AI for validation
Thomas Hartung, Alexandra Maertens, Thomas Luechtefeld
Archives of Toxicology
|
April 9, 2015
MPTP's pathway of toxicity indicates central role of transcription factor SP1
Alexandra Maertens, Thomas Luechtefeld, Andre Kleensang, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
July 15, 2018
Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility
Thomas Luechtefeld, Dan Marsh, Craig Rowlands, et al.
ALTEX
|
January 9, 2024
Alternative methods go green! Green toxicology as a sustainable approach for assessing chemical safety and designing safer chemicals
Alexandra Maertens, Thomas Luechtefeld, Jean Knight, et al.
Page
of 5