The Environmental Health Language Collaborative (EHLC) Adverse Outcome Pathway (AOP) Standards Workshop Report

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Authors: Holly M. Mortensen, Virginia K. Hench, Penny E. H. Nymark, Scott G. Lynn, Helena T. Högberg, Madison Feshuk, Anne Thessen, David E. Hines, Sierra A. Taylor Moxon, Karamarie Fecho, Nyssa Tucker, Alexander Tropsha
+13 more James P. Balhoff, Jennifer M. Fostel, Harry Caufield, Julija Filipovska, Allan Peter Davis, Julia M. Malinowska, Vikas Kumar, Marvin Martens, HC Bledsoe, Grace A. Chappell, Samantha Hall, Maria Shatz, Charles Schmitt
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References: 18

Abstract

The Environmental Health Language Collaborative (EHLC), established in 2021, is a community of practice dedicated to advancing environmental health research by promoting standardized language to achieve harmonized datasets and interoperable tools. EHLC works through several mechanisms, including holding different events to communicate progress and discuss issues, hosting working groups to advance solutions, and conducting webinars and workshops. The recent EHLC AOP Standards two-day workshop served as a platform to connect the Adverse Outcome Pathway (AOP) community with other aligned groups, including the Biomedical Knowledge Graph, New Approach Methodologies (NAMs), Artificial Intelligence and Natural Language Processing (AI/NLP), Human Exposome, and the Data Sharing and Standards communities. With many emerging activities across the biomedical and AOP domains, EHLC is fostering collaboration and knowledge exchange among them. The workshop aimed to raise awareness, enhance alignment across communities, and gather insights to guide future efforts—particularly in improving knowledge and data generation, and advancing the automated and semi-automated integration of biomedical and related human health data with AOPs. This manuscript does not necessarily represent US Environmental Protection Agency (US EPA) policy.

Fields of Study & Subjects

Biomedical Text Mining and Ontologies Research Data Management Practices Health Environment Cognitive Aging

Publication details

Journal / source
F1000Research
Volume
15
Pages
323–323
Publication date
26 February 2026
Language
EN