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Ensuring API safety: Strategies for impurity and degradant management under ICH M7

Managing impurities in Active Pharmaceutical Ingredients (APIs) while meeting ICH M7 can be challenging. The need to quickly identify potential impurities, assess their toxicological risk and ensure compliance with mutagenicity and carcinogenicity guidelines demands a streamlined, reliable process. Held in Spanish, this webinar showcased how in silico tools Zeneth, Derek Nexus, and Sarah Nexus can […]

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How to develop impurity control strategies without analytical testing

10 am (EST) / 3 pm (GMT) / 4pm (CET) This webinar detailed how to develop control strategies in line with ICH M7 guidelines without expensive and time-consuming analytical testing. We showed how you can assess carryover risk for potentially mutagenic impurities (including nitrosamines) in your drug development workflow. We were delighted to have Senior

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Analytical challenges and the effective management of nitrosamines: The evolving landscape of NDSRI analysis

We were delighted to take part in an online seminar and panel discussion with ThermoFisher Scientific on 29th October. Nitrosamine Drug Substance related impurities (NDSRIs) remain a topic of significant concern to the pharmaceutical industry with multiple batch recalls in 2022+ across different drug classes including beta blockers and ACE inhibitors to name but a

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Your forced degradation problem-solving session

We are looking forward to holding our upcoming webinar all about supporting forced degradation studies with in silico tools as part of your workflow. With Senior Scientist Jonathan Lockett, this session will cover four case studies demonstrating how in silico solution Zeneth can support confident interpretation of forced degradation studies and subsequently result in stress-free

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Automated ICH Q3D risk assessments and control strategy support

This session will provide a comprehensive overview of the ICH Q3D guidelines, which are designed to ensure patient safety by limiting exposure to potentially harmful elemental impurities in pharmaceutical products. Experts will then discuss what the guidelines mean to key teams, from regulatory affairs to quality teams, across the entire product lifecycle and how the

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Classification of potentially mutagenic impurities under the ICH M7 guideline

Watch our Lhasa webinar to deepen your understanding of the ICH M7 guidelines and their application in classifying mutagenic impurities.   Learn from regulatory and industry leaders through expert presentations and real-world case studies. The webinar agenda includes: Introduction to ICH M7 guidelines Dr Roland Froetschl, from the Federal Institute for Drugs and Medical Devices,

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Integrating ReproTracker into DART AOP Frameworks for mechanism-based teratogenicity assessment

Lhasa Limited Principal Scientist, Alun Myden, presented in webinar hosted by Toxys on the use of DART AOP frameworks for mechanism-based teratogenicity assessment.   Testing for developmental toxicity according to the current guidelines requires large numbers of animals. In addition to the ethical considerations and high costs of these traditional animal models, the outputs provide

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How to establish acceptable intake limits for NDSRIs (in Japanese)

Our webinar ‘How to establish acceptable intake limits for NDSRIs’ was hosted in Japanese and contains pre-recorded videos with Japanese subtitles. This virtual event lasted approximately 2 hours. Nitrosamine Drug Substance-Related Impurities (NDSRIs) have emerged as a significant cause for concern within the pharmaceutical industry due to their potential to pose serious health risks to

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Read-across masterclass: How to facilitate your acceptable intake limit setting for nitrosamines

Read-across is a popular data gap filling technique which has recently gained recognition in regulatory guidance as a valuable tool for identifying suitable surrogates in establishing Acceptable Intake (AI) limits for Nitrosamine Drug Substance-Related Impurities (NDSRIs). We held an informative webinar where we unveiled Acrostic, our novel read-across solution designed to facilitate decision-making when determining

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