Lhasa Limited shared knowledge shared progress

Archive

This is a library of Lhasa's blog articles. 

  • Collaboration Innovation Working together data sharing
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    Anticipating and supporting the needs of our members

    As a member-based organisation, anticipating and supporting the needs of our members is critical. 

    31 July 2020

  • Expert Review Magnifying Glass Results
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    Human review of in silico predictions of toxicity

    The speed by which models for toxicity prediction can be built and the accuracy with which they can make predictions, have both improved greatly in recent years as a result of advances in technology, mechanistic understanding and access to data.

    21 May 2020

  • Lhasa Limited supports the global challenge of nitrosamine impurity assessment
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    Lhasa Limited supports the global challenge of nitrosamine impurity assessment

    The recent discovery of N-nitrosamine (nitrosamine) impurities in several marketed pharmaceuticals has led to a requirement for further investigation into nitrosamine mutagenic and carcinogenic activity. Regulatory requirements mean that marketing authorisation holders for human medicines, containing chemically synthesised active substances, must review their medicines for the possible presence of nitrosamines and test all products at risk. Risk-based approaches to prioritise evaluations and subsequent confirmatory testing may be used. These assessments must be completed by October 2020, generating a significant challenge for the pharmaceutical industry.

    13 July 2020

  • Kaptis blog imagery
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    The Application of Adverse Outcome Pathways (AOPs) for Risk Assessment (A Webinar Summary)

    AOPs have the potential to be very powerful for the contextualisation of alternative assays and consequently for the management of alternative testing strategies. Read about what Lhasa is doing in this area in this blog piece written by Alun Myden, Senior Scientist at Lhasa.

    03 July 2020

  • Computer Software development Models QSAR In Silico 1170x500px
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    The challenge of building QSAR models

    Building QSAR models is easy. Building useful QSAR models is harder. Building QSAR models you can trust – well that can be really challenging – and this is where a lot of Lhasa’s effort is dedicated – creating models that can be used with confidence to make big decisions – such as those made during a regulatory submission that can protect human safety through exposure of a compound or its impurities! 

    19 May 2020

  • Collaboration Data Sharing Knowledge 1170x500px
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    The Importance of Pre-competitive Collaborations

    Throughout the history of science, progression has relied upon the generation of new knowledge and  then building on that knowledge in order to gain even greater insight. In order to progress, this knowledge needs to be shared as widely as possible.

    26 June 2020

  • Richard Williams 1170x500
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    The Richard Williams Memorial Award

    An award honouring the scientific contributions and memory of Dr. Richard Williams, has been set up to support early career investigators within industry. Supported by the Industrial Genotoxicology Group (IGG), The Richard Williams Memorial Award will sponsor one individual a year to attend and present at the United Kingdom Environmental Mutagen Society (UKEMS) meeting.

    26 July 2020

  • Handshake
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    We can apply a lot about how we trust one another when building and using in silico models

    One of the most important ingredients for an effective team is trust, and a critical phase of team building is starting to develop that sense of trust – to be strong has to be earnt and regularly reinforced; it is rarely simply given! The same is true when using in silico models and by mirroring the natural approaches – the intuitive tests that we apply either consciously or subconsciously - we can understand how and when a model can be effectively used.

    15 May 2020

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VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

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