The purpose of this website is to provide information, examples and tutorials on Bayesian networks in relation to the SWiFT project.
Under the menu item Resources you will find a number of examples on the use of Bayesian networks.
The content of this web site will be extended as the project work progresses.
The Fish Embryo Toxicity (FET) test was submitted as a proposed OECD test guideline in 2006 as an alternative approach to the acute fish toxicity (AFT) test (OECD, 2019a). After an extensive laboratory ring trial, taking several years of work and covering multiple classes of chemicals, the test was validated and adopted as an official OECD Test Guideline (Busquet et al., 2014; OECD, 2013). However, unilateral acceptance of the test method was not approved until the term alternative approach was removed from the guideline.
The objective of the Strengthening Weight of Evidence for FET data to replace acute Fish Toxicity (SWiFT) project is to provide a conclusive framework that supports the full adoption and acceptance of FET data to routinely fulfil the regulatory requirements for AFT data.
CEFIC ECO51 final meeting 18 May 2021
SETAC Europe May 2022 Presentation
CEFIC ECO51 progress meeting 17 March 2022
Meeting with ECHA 01 March 2022 Presentation by J. Moe
SETAC North America November 2021. Moe et al. Reaching the ideal weight? Calibration of a Bayesian network weight-of-evidence model for supporting animal alternatives in ecotoxicity testing. Poster.
CEFIC ECO51 progress meeting 13 October 2021 Presentation by J. Moe
SETAC Europe May 2021. Moe et al. Weight of Evidence by Conditional Probabilities: A Bayesian Network Model for Predicting Fish Acute Toxicity Based on Fish Embryo Testing. Presentation, Presentation with recording, Extended abstract. Wolf et al. Regulating a SWiFT transition: a Bayesian network as weight-of-evidence approach to replace the AFT with the FET. Presentation, Extended abstract.
SETAC North America November 2020 (SciCon2): Moe et al. 2020. From Weight of Evidence to Conditional Probabilities: A Bayesian network model for predicting fish acute toxicity based on fish embryo testing. Presentation, Presentation with recording.
CEFIC ECO 51 23 November 2020: 1st Progress Review meeting with the monitoring team Presentation by J. Moe
CEFIC ECO51 30 April 2020 Virtual Kick-Off meeting with the consortium and the monitoring team Presentation by J. Moe
3 March 2020 - New publication: Lillicrap et al. 2020
17 February 2020 - New publication: Moe et al. 2020
Please contact firstname.lastname@example.org if you have questions or comments to the content on the web-site.