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ACD/Labs Blog

There are a number of common misconceptions about software in 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.

ACD/Labs is partnering with TetraScience, the Scientific Data Cloud company, to help pharmaceutical companies increase scientific data effectiveness. We invited Simon Meffan-Main, Ph.D., and Alan Millar, Ph.D., Vice Presidents, Tetra Partner Network, TetraScience, to share some insights on cloud computing in the pharmaceutical industry.

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.

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.

A software demonstration is a great opportunity to learn about the features and capabilities of the software you are interested in and find out if it meets your needs. A successful demo helps you make an informed decision about whether the software is right for your specific challenges. But, how can your team prepare for a technical software demo to get the most value out of it?