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ACD/Labs Blog

Andrew Anderson
A new year is historically a time for reflection. In 2022, ACD/Labs has been in the scientific software industry for 28 years. In this blog post, Andrew Anderson reflects on three key topics have come up repeatedly in conversations with customers in 2022 that are notable for our work ahead.

Andrew Anderson
What will the Lab of the Future look like? Andrew Anderson offers his insights into how ACD/Labs is poised to deliver products and capabilities to help usher companies into this unknown future.

Andrew Anderson
For scientists involved in pharmaceutical development, high throughput experimentation is commonplace. While there are many observed benefits with HTE workflows, there are also significant impediments to its utilization. The industry requires a technological solution that can help streamline workflows and demonstrate data integrity. That's why we've recently launched Katalyst D2D.

Andrew Anderson
In pharma, drug substances (and the resulting formulated drug products) must conform to a variety of quality specifications in order to be approved for use by healthcare practitioners and patients. While most of us who have worked in pharma know the various regulatory statutes and advisory guidance (and can quote them chapter and verse!), my belief is that there is a challenge in the practical and efficient implementation of quality practices that support conformance. When considering the increasing ‘fracturing’ of supply chains that support demand for drug substances in both clinical and healthcare systems worldwide, this challenge only continues to grow.

Andrew Anderson
Earlier this year, I had a conversation with Sophia Ktori, a reporter for Scientific Computing World, to talk about security issues in the age of R&D outsourcing. In the ensuing article, Sophia stated, “The R&D sector is increasingly turning to collaborative, partnered and outsourced projects to boost innovation, reduce costs and help expedite development.” While this is not an industry secret, this trend has led to a number of security concerns in our industry, and after looking back, I feel our discussion still rings true almost 10 months later.

Andrew Anderson
The 'Amazon Effect' describes how online shopping giant, Amazon, sorts data and matches similar products to one another—providing customers with a customized list of products they may be interested in. In laboratory informatics, scientists organize and analyze data in a very similar way. By using software like ACD/Spectrus Platform, scientists—from different laboratories using a variety of instruments—can combine and process their large data sets in a single interface that delivers quality results.