UPDATED Oct. 21st, 2021: We have found that a number of common misconceptions exist about validated environments. Many arise because previous deployments of software accompanied the installation of new hardware, or have involved informatics systems that are the source of data and reports submitted directly to regulatory authorities. Here we clear up some of the grey areas that seem to have become industry myths.
Software pilot programs help you ensure that new software will meet business goals and add value to your workflow. Your organization can test software on a small scale before making a large investment. Key stakeholders can then understand if the software is viable.
Our team of chemists recently reported a detailed analysis of Excel’s core weaknesses when used in pharmaceutical development as compared to ACD/Labs Luminata, as well as ELNs, CDSs, and LIMSs. Here are seven of Excel’s most pressing shortcomings that were identified in the paper.
The rapid increase in biopharmaceutical approvals and sales indicates their tremendous opportunities in the coming years. Innovative software solutions play an essential role in unlocking that potential. Learn more about how ACD/Labs brings chemical intelligence to biopharmaceutical research in this blog post.
Markush structures are useful in many places within chemistry, and creating them with chemistry drawing software takes no more time than regular chemical drawing. Read more about how adding Markush structure drawing to your skillset can help to accurately communicate your science.
Coding can take scientists from participants to owners of their data. More and more it is becoming clear that every organization needs to employ workers with data science skills. As more scientists become data scientists, the move towards digitalized data will accelerate.
The pharmaceutical industry has renewed its interest in HTE these last few years. Leaders see it as a way to get medicines to patients faster, but they’re also attracted by the sheer quantity of data generated in parallel experiments. How and where should HTE be set up for maximum success? Read this blog for questions that should be considered.
Richard Lee discusses the global trend around the development of machine learning (ML) and artificial intelligence (AI) capabilities. As utilization of ML/AI continues to grow, R&D organizations will likely continue to focus on how to normalize data into a format that can be fed into a ML/AI framework.
Using different color schemes in your chromatographic resolution maps can help you to see important distinctions in your data, make your figures viewable by a wider audience, and generally make your reports look more attractive. Read on as Charis Lam provides three examples of how you can customize the coloring of your resolution maps.
Andrew Anderson shares his insights about working from home, his non-work coping mechanisms, and how ACD/Labs is building collaborative software interfaces to support continued work from home requirements for analytical chemists.
This article provides an overview of why digitalized data management in the pharmaceutical industry is challenging and explores how effective data management can enhance drug quality.