In machine learning, the validation of binary classifiers, algorithms that categorise data into two classes, is essential. However, a frequently overlooked issue …
The recently published paper “Control of N-nitrosamine impurities in drug products: Progressing the current CPCA framework and supporting the derivation of robust …
2024 was an exciting year for Lhasa, made possible through collaboration with our members and the efforts of our dedicated team. Below, …
We recently invited our scientific community to vote for their favourite Lhasa 2024 publication across 3 categories: Toxicology (excluding nitrosamines), Toxicology (specifically …
In the ever-evolving landscape of pharmaceutical development, ensuring the safety and efficacy of medications is paramount. One of the emerging challenges in …
The use of in silico prediction systems has become an essential part of regulatory submissions when assessing the genotoxic potential of chemicals. …