Streamlining Toxicity Data Workflows: From Raw Data to Robust Assessment
From ICH M7 for mutagenic impurity assessment, to the upcoming ICH Q3E for extractables and leachables, the chemical toxicity database from Lhasa enables users to confidently transform raw data into robust assessment.
In this proposed session we will delve into achieving expert assessment with Vitic, which offers a single source of truth for tox data that spans several industries.
How Vitic toxicity data can accelerate confident safety decisions in ICH M7 and other workflows
We’re looking for Toxicologists and other safety assessment professionals to join us in an engaging session where we’ll uncover best practice for using Vitic in mutagenicity, carcinogenicity, nitrosamines, non-genotoxic impurities, skin sensitisation, pesticide risk evaluation and more.
Discussions will surround Vitic as a driver for efficiency in your organisation. Join us as we delve into functionality and features that differentiate Vitic from other chemical toxicity databases on the market.
From innovative identification of relevant data using advanced structure searching to standardising toxicology workflows using a common data model; we’ll explore how a centralised source of truth can empower onward (Q)SAR and read-across models, to name a few.
As part of our ‘how to’ guide for making more reliable safety decisions, confidently, we will feature Lhasa Limited Scientists and industry experts. From here we’ll also specifically delve into an ICH M7 use case, addressing how Vitic can streamline the classification of Class 1, Class 2 and Class 5 impurities.
Robust Assessment of Internal & External Data
We’ll explore the database management capabilities of Vitic, uncovering how harmonising in-house experimental results with proprietary and public data can improve scientific rigor.
Position your toxicity data for the most efficient interpretation by integrating custom datasets into the larger, expertly curated database to enhance accuracy, reliability and standardisation.
By creating a Vitic software-driven in vitro and computational approach to toxicology risk assessments, you can unlock in silico predictions such as (Q)SAR and read-across.
By outlining how you can use Vitic for in-house data management and evaluation, we’ll help you reach confident and robust assessments across various industries.
This session is provisionally planned to run in the autumn of 2026. We are actively gauging interest to confirm the final session—register below to support this exciting webinar and stay informed on the confirmed date. Want to be the first to know when we confirm a date for this session? Register your interest and we’ll be in touch!
