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2021 Webinar - An overview of Effiris 2.1; An enhanced qualitative model suite for anticipating and mitigating adverse drug reactions – Slides and recordingpdf fileEffiris
Beyond adverse outcome pathways: making toxicity predictions from event networks, SAR models, data and knowledgeKaptis
Carbamates and ICH M7 classification: Making use of expert knowledgeDerek NexusSarah Nexus
Consortium-led federated QSAR models for secondary pharmacology - preparing the datapdf fileEffiris
Developing AOP Networks and Making them Usefulpdf fileKaptis
Effiris_Improving in silico secondary pharmacology profiling using federated QSAR modelspdf fileEffiris
Enhancing global and local decision making for chemical safety assessments through increasing the availability of dataVitic
Nexus 2.2: An Overview of Key New Features - Sarah NexusSarah Nexus
Organising data and knowledge to support the identification of chemicals with endocrine disruption potentialpdf file
Predicting the safety of medicines in pregnancy: A workshop reportKaptis
QSAR 2021 - leveraging data from multiple sources to build QSARs through curation and federated learning in Effiris.pdf fileEffiris
Session 1 - Creating a DART AOP network to enable improved decision-making during risk assessments - Recording
Session 1 - Creating a DART AOP network to enable improved decision-making during risk assessments - Slidespdf file
The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7Derek NexusSarah Nexus
Using adverse outcome pathways to contextualise (Q)SAR predictions for reproductive toxicity – A case study with aromatase inhibitionKaptis
Using Data Associated with a Developmental and Reproductive Toxicity Adverse Outcome Network to Aid Safety Assessmentspdf file
Using privacy-preserving federated learning to enable pre-competitive cross-industry knowledge sharing and improve QSAR modelspdf fileEffiris
Utilising ChEMBL data for building secondary pharmacology modelspdf fileEffiris

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