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TitlePublishedTypeProducts
Supporting more scientifically driven risk assessments under ICH Q3Dpdf fileElemental Impurities
Introduction to ICH Q3D guidance_The move from heavy metal testing to ICH Q3Dpdf fileElemental Impurities
Supporting more scientifically driven risk assessments under ICH Q3D: Elemental Impurities Data Sharing_Webinar RecordingElemental Impurities
Employing an adverse outcome pathway framework for weight-of-evidence assessment with application to the ICH S1B guidance addendumKaptis
ICH Q3D Drug Product Elemental Risk Assessment: The use of an elemental impurities excipients databaseElemental Impurities
How carboxylic and sulfonic acid halides are represented within Derek Nexus and Sarah Nexuspdf fileDerek NexusSarah Nexus
Automated chromophore identification to support prediction of light-mediated reactivitypdf fileZeneth
Structural features affecting nitrosamine carcinogenic potencypdf file
In Silico Prediction of Genotoxicity Current Applications and Future Perspectivespdf fileDerek NexusSarah Nexus
Resolving conflicting data sources to a single call in Sarah Nexus [an infographic]pdf fileSarah Nexus
Zeneth Member Type Infographicpdf fileZeneth
Could the Lhasa Cloud be the best hosting option for you? (Infographic)pdf fileMirabilisViticKaptis
2021 Webinar | Accessing vital sources of long-term carcinogenicity study data with Lhasa’s Carcinogenicity Database – An update and an overview - RecordingLhasa Carcinogenicity Database
2021 Webinar | Accessing vital sources of long-term carcinogenicity study data with Lhasa’s Carcinogenicity Database – An update and an overview - Slidespdf fileLhasa Carcinogenicity Database
Predicting N-Nitrosamine Activity from SARpdf fileDerek NexusSarah NexusLhasa Carcinogenicity DatabaseNitrites in Excipients
QSAR 2021 Addressing the global challenge of N-nitrosamine impurity assessmentpdf fileDerek NexusMirabilisSarah NexusVitic
QSAR 2021 - leveraging data from multiple sources to build QSARs through curation and federated learning in Effiris.pdf fileEffiris
QSAR 2021 Is the bacterial reverse mutation assay an accurate predictor for N-nitrosamine carcinogenicitypdf fileVitic
Effiris_Improving in silico secondary pharmacology profiling using federated QSAR modelspdf fileEffiris
Managing the risk of nitrosamine impurities
Quantifying the nitrosamine potency distributionpdf fileLhasa Carcinogenicity Database
A collaborative benchmarking study to evaluate the newly released Zeneth 8pdf fileZeneth
In silico prediction of N-nitrosamine degradants in APIs that possess a secondary or tertiary amine functional grouppdf fileZeneth
1. Qualifying impurities and degradation products: Anvisa's experience and technical improvement - Maria Rodrigues (Slides)pdf file
1. Qualifying impurities and degradation products: Anvisa's experience and technical improvement - Maria Rodrigues (Video)Zeneth

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