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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.

“As Adverse Outcome Pathways (AOPs) move from being an interesting scientific concept, to a useful practical application tool, this is an exciting time for both industry and Lhasa” … Regular Lhasa blog readers will have read this statement within our September blog “Shaping Lhasa Limited’s scientific direction through collaboration”.

It is with great excitement that this month we can provide you with another pioneering update on the topic of our AOP work; Our paper, “Employing an adverse outcome pathway framework for weight-of-evidence assessment with application to the ICH S1B guidance addendum” has now been published in the Regulatory Toxicology and Pharmacology Journal!

“Our technology is designed by scientists, for scientists, in collaboration with industry stakeholders and regulators” …

At Lhasa Limited we often talk about the importance of industry and regulatory input in shaping our scientific direction. This article discusses a few key areas of involvement and collaboration plus, focuses on a recent example, on the topic of Adverse Outcome Pathways (AOPs). Read on to learn more and find out how you can get involved!

In a world where we are all striving for progress, technology is also advancing quickly.

Like many organisations across the life sciences industry – evidenced by the 82 Amazon Web Service (AWS) life sciences case studies -  Lhasa has adopted cloud, Software as a Service (SaaS), options across three notable areas...

The saying goes, “It takes a village to raise a child”. This sentiment can be translated to the work we do at Lhasa Limited, particularly to the work which we put into building Adverse Outcome Pathways (AOPs). To echo the sentiment in Chris Barber’s previous blog post, The challenge of building QSAR models; it is easy to build an AOP, harder to build a useful AOP, and as for building an AOP you can trust? It takes a team.

Read about how we are building adverse outcome pathways (AOPs) at Lhasa in this blog post written by Dr. Susanne Stalford, Senior Scientist at Lhasa.

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.