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Machine Learning and Large Language Models for Modeling Complex Toxicity Pathways and Predicting Steroidogenesis.

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Bibliographic Details
Title:	Machine Learning and Large Language Models for Modeling Complex Toxicity Pathways and Predicting Steroidogenesis.
Authors:	Lane TR; Collaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States of America., Vignaux PA; Collaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States of America., Harris JS; Collaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States of America., Snyder SH; Collaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States of America., Urbina F; Collaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States of America., Ekins S; Collaborations Pharmaceuticals, Inc., 840 Main Campus Drive, Lab 3510, Raleigh, North Carolina 27606, United States of America.
Source:	Environmental science & technology [Environ Sci Technol] 2025 Jul 15; Vol. 59 (27), pp. 13844-13856. Date of Electronic Publication: 2025 Jun 27.
Publication Type:	Journal Article
Journal Info:	Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1520-5851
DOI:	10.1021/acs.est.5c04054