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Digitalization is an important aim as organizations seek to improve efficiency through data-driven workflows, reduce the cost of bringing products to market, and accelerate innovation. Digitalization is also the necessary step before data can be leveraged for AI, and even greater productivity. The goal is clear but the road to digitalization and AI-enablement is fraught...

Having digitized (from paper to glass) through the late 1990s and early 2010s, the R&D community is now navigating the early adoption of digitalization and digitally enhanced workflows. This report addresses the state of the laboratory digitalization process in 2026. While many organizations have digitized their data, obstacles to effective use of this information remain in...

This article was first published in Labmate UK & Ireland (2026) Vol. 51 Is. 2. Rising expectations for analytical data Across chemical and pharmaceutical research organisations, expectations placed on analytical data have increased dramatically. Analytical measurements are no longer viewed solely as confirmatory outputs at the end of an experiment; instead, they are expected to...

Method Development Webinar Series Join our expert-led webinar series focused on modern, efficient approaches to chromatographic method development. Designed for industry scientists, this series will cover practical applications of retention modeling, software-assisted workflows, and in-silico tools to support faster development, reduced experimental effort, and more robust, QbD-aligned methods. Each session delivers actionable insights you can...

Published by Scientific Computing World Chemical research environments are undergoing a profound transformation as modern laboratories confront rising demands for greater data throughput, more seamless integration of analytical and structural information, and a higher level of preparedness for AI-driven modelling and analysis. However, the complex and heterogeneous nature of analytical data has left it locked...

This study showcases a vendor-neutral in-silico fragmentation workflow that automates peptide MS/MS interpretation. By applying advanced fragmentation rules, it improves fragment assignment accuracy, enables structural visualization, distinguishes isomers, and streamlines reporting—centralizing data processing across multiple instrument platforms.

Latest Spectrus applications offer deeper integrations, improvement to low code/no code automation, expansion of data import/export, and enhanced analytical data processing and interpretation. Percepta delivers improved prediction accuracy for several models. Toronto, CANADA (November 19, 2025)—ACD/Labs, an informatics company that develops and commercializes software in support of digitalized R&D, today announced the widespread release of...