Lhasa Limited shared knowledge shared progress
PublicationsJump to results
Publication Type
Publication Year
Related event
Related Products
Distinguishing between expert and statistical systems for application under ICH M7January 2017Derek NexusSarah Nexus
Drawing Conventions.pdfNovember 2016pdf fileDerek Nexus
Drug Master File (DMF) Holders Preferred PGI Control Strategy Under ICH M7 in Support of Abbreviated New Drug Applications (ANDAs)November 2017pdf file
Drug metabolism in silico – the knowledge-based expert system approach. Historical perspectives and current strategiesNovember 2012Meteor Nexus
EC3: Methodology ExplainedJanuary 2018pdf fileDerek Nexus
Effective use of experiment modeling for the capture and analysis of results in DMPK/ADMEApril 2016pdf file
Elemental Impurities - 47th ICGMOctober 2017pdf file
Elemental Impurities 2016.1.0 Release NotesApril 2016pdf file
Elemental Impurities 2016.2.0 Release NotesNovember 2016pdf file
Elemental Impurities 2017.1.0 Release NotesMay 2017pdf file
Elemental impurities in excipients: a pre-competitive data sharing initiative to support risk assessment under ICH Q3D.June 2016pdf file
Emerging Pattern Mining to Aid Toxicological Knowledge DiscoveryMay 2014
Establishing best practice for the application of a novel statistical-model to evaluate potential mutagenic impurities under ICH M7March 2014pdf fileSarah Nexus
Establishing best practise in the application of expert review of mutagenicity under ICH M7August 2015Derek NexusSarah Nexus
Establishing Good Practice in the Use of Computer PredictionApril 2015
eTOX 2013.2.0 Release NotesMay 2013pdf fileETOX
eTOX 2013.3.0 Release Notes.pdfAugust 2013pdf fileETOX
eTOX 2013.4.0 Release Notes.pdfNovember 2013pdf fileETOX
eTOX 2014.1.0 Release Notes.pdfMay 2014pdf fileETOX
eTOX 2014.2.0 Release Notes.pdfAugust 2014pdf fileETOX
eTOX 2015.1.0 Release Notes.pdfJanuary 2015pdf fileVitic Nexus
eTOX 2016 1.0 Release Notes.pdfJanuary 2016ETOX
eTOX 2016.2.0 Release Notes.pdfJune 2016ETOX
eTOX 2016.3.0 Release Notes.pdfNovember 2016pdf fileETOX
eTOXlab, an open source modeling framework for implementing predictive models in production environmentsDecember 2016ETOX

© 2018 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

Thanks to QuestionPro's generosity, we now have survey software that powers our data intelligence.