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ACD/Labs Blog

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.

Sanji Bhal
Why pKa Values are Relevant to Scientists in Pharma/BioTech Many of the small molecules under investigation in pharmaceutical and biopharmaceutical labs are susceptible to ionization. While the composition of positively charged molecules (cations), negatively charged molecules (anions), and molecules with groups that are both positively and negatively charged (zwitterions) differs by therapeutic area and drug...

Sanji Bhal
ACD/Labs is committed to supporting scientific experts from many of the world’s leading biopharmaceutical and chemical companies in identifying, verifying, and elucidating chemical structures. Recently, we brought together some of these experts to discuss their workflows and how they’ve improved efficiency and confidence in structure determination.

Sanji Bhal
From new instruments and software to the rise of the digital lab, the landscape of analytical chemistry data is constantly evolving. To stay on top of trends, we launch a comprehensive survey every few years focused on analytical chemistry data and its management. Here's what we learned.