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ACD/Labs Blog

Sarah’s analytical team at Genentech support medicinal chemists in Discovery and have deployed ACD/Labs technology to manage their LC/MS/MS, 1D NMR, and 2D NMR data. Learn about their analytical data management system and how they’re leveraging data to speed up structure elucidation and verification workflows, reduce experimentation; and make the data available to downstream colleagues...

Getting Control of Extractables and Leachables Data Many medicines come in a container, whether a bottle, blister pack, syringe, or inhaler. We rarely think about these container-closure systems, but what if they adversely interacted with our medicines or slowly released a toxic contaminant? Extractables and leachables (E&L) is a specialization within pharmaceutical development that studies...

Data plays a critical role in the discovery, development, and sustained delivery of new and existing medicines to patients. There are a variety of scientific, regulatory, project, clinical, and supply chain-related decisions stakeholders must make to matriculate through this full lifecycle. Data is what informs these decisions. Stakeholders must carefully consider the implementation of systems...

This release expands structure characterization functionality for scientists, improves analytical data management and assembly across analytical techniques and data formats, and further supports proliferation of data from the Spectrus platform to third party data science applications. Toronto, CANADA (September 12, 2023)—ACD/Labs, an informatics company that develops and commercializes software in support of R&D, today announced...

Andrew Anderson provides an overview of how lab-based organizations prepare data sources and ensure that existing data sets are normalized, curated, and machine-readable so that they can be used for AI/ML projects in the future

Analytical data is diverse, tied to many applications, and often difficult to access and share. But when data is managed well, the possibilities are endless. Here, three experts break down the key pain points and set you on the right path in your data management journey.