Novel machine learning models to predict endocrine disruption activity for high-throughput chemical screening by Sean P. Collins, Tara S. Barton-Maclaren

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Canadian Regulatory Perspective on Next Generation Risk Assessments for Pest Control Products and Industrial Chemicals by Yadvinder Bhuller, Deborah Ramsingh, Marc Beal, Sunil Kulkarni, Matthew Gagne, Tara S Barton-Maclaren

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Development and application of consensus in silico models for advancing high-throughput toxicological predictions by Sean P. Collins, Brandon Mailloux, Sunil Kulkarni, Matthew Gagné, Alexandra S. Long, Tara S. Barton-Maclaren

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Use of new approach methodologies (NAMs) to meet regulatory requirements for the assessment of industrial chemicals and pesticides for effects on human health by Andreas O. Stucki, Tara S. Barton-Maclaren, Yadvinder Bhuller, Joseph E. Henriquez, Tala R. Henry, Carole Hirn, Jacqueline Miller-Holt, Edith G. Nagy, Monique M. Perron, Deborah E. Ratzlaff, Todd J. Stedeford, Amy J. Clippinger

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From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow by Anthony J. F. Reardon, Reza Farmahin, Andrew Williams, Matthew J. Meier, Gregory C. Addicks, Carole L. Yauk, Geronimo Matteo, Ella Atlas, Ella Atlas, Joshua Harrill, Logan J. Everett, Imran Shah, Richard Judson, Sreenivasa Ramaiahgari, Stephen S. Ferguson, Tara S. Barton-Maclaren

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