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Author name: lhasalimited

Martyn Chilton award

Congratulations to Martyn Chilton, awarded the CTSS & RASS Top 10 Best Overall Abstract Award at SOT

We had a fantastic time at this year’s Society of Toxicology (SOT) in Nashville, Tennessee, where Principal Scientist, Dr. Martyn Chilton was shortlisted for two Best Overall Abstract awards!  Martyn was awarded ‘Top 10 Best Computational Toxicology Specialty Section (CTSS) Abstract’ and ‘Top 10 Best Risk Assessment Speciality Section (RASS) Abstract’ for his poster which …

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One of the most influential scientific papers of 2022

One of the most influential scientific papers of 2022

In November last year, we published a ground-breaking article to Chemical Research in Toxicology titled ‘What Makes a Potent Nitrosamine? Statistical Validation of Expert-Derived Structure–Activity Relationships’.   Within the paper, we show that certain structural features, when treated independently, have a statistically significant impact on the carcinogenic potency of nitrosamines. It is with great excitement that …

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How to calculate the safe limit for carcinogens as per ICH M7

How to calculate the safe limit for carcinogens as per ICH M7

Mutagenic impurities can be expected in any drug product; however, this is not a concern providing they are present below the safe limit. The objective of a carcinogenicity study is to identify compounds that can cause tumours in animals, which is imperative to understanding the cancer risk posed to humans. ICH M7 in practice The …

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The benefits of joining the Complex Nitrosamines consortium

The benefits of joining the Complex Nitrosamines consortium

Data sharing initiatives allow researchers and scientists to share data and knowledge in order to improve and accelerate scientific progress and discovery. These initiatives are therefore at the heart of our Lhasa Limited ethos “Shared knowledge, shared progress“. In response to the nitrosamine crisis, we partnered with the pharmaceutical industry to launch a data sharing …

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Ensuring data quality in Vitic three benchmarks for data quality success 1

Ensuring data quality in Vitic; three benchmarks for data quality success

Evaluating the potential toxicity of chemicals is an important part of the drug development process. Optimizing a data set that provides quality over quantity is critical in the search for suitable drug candidates. Developed by our scientists, Vitic is a chemical database and information management system that provides rapid access to high-quality toxicity data from …

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Using existing data better and relying less on animal testing

Using existing data better and relying less on animal testing

I recently read that by 2025, 36% of world data will be healthcare data. (Yes, thirty-six percent!). Considering this statistic, now more than ever, it is important that we are working to ensure existing data is utilised to make better safety assessment decisions more quickly – whilst also relying less on animal testing. Within many sectors …

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