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ACD/Labs Blog

Sanji Bhal
In 2019 Pfizer set out to create a knowledgebase of analytical data to empower their scientists with easily accessible data, timely responses to regulatory inquiries, and to improve the flow of information across R&D. Read about their continuing data digitalization journey.

Sanji Bhal
The biggest barrier to AI/ML in R&D is poor scientific data. Scattered, inconsistent, and inaccessible data hinders automation, integration, and insights. Organizations must prioritize data standardization, automation, and culture change to unlock AI/ML's full potential and empower scientists.

Sanji Bhal
The FAIR data guidelines are central to effective data management and the ability to leverage institutional knowledge. Unfortunately, not everyone understands the concepts. Read about the goals and benefits of FAIR data for scientists and the organization; and practical considerations for implementation.

Sanji Bhal
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.

Jesse Harris
This Halloween, we will explore how data “dies” and why you can’t bring it back to life. Not only that, but we will discover the secret of how you can keep your analytical data alive… forever!

Jesse Harris
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...