Welcome to the CSols blog, written in-house by experts who know your systems and technologies (or by the occasional guest industry expert). No writers-for-hire or AI-generated content anywhere in sight. We write our blogs to share real-world experiences that help laboratory professionals, not for SEO.
Stop by often to learn what CSols experts — the industry’s most trusted advisors — have to say about current laboratory informatics topics. We post approximately twice a month on subjects ranging from high-level overviews to detailed, technical explanations.
An off-the-shelf STARLIMS implementation will get you basic LIMS functionality. However, many implemented systems could have benefitted from little-known configuration and customization options in STARLIMS. These options can further reduce the possibility of human error and save time; they make the system more dynamic user friendly, and allow STARLIMS to better adapt to business and… Read More
Opinions expressed by CSols Inc. contributors are their own. A comprehensive approach to lab data management provides a crucial pathway to knowledge, discovery, and innovation in scientific research. Effective data management is an essential part of today’s research landscape, and the need to store, access, and analyze data efficiently is key to driving innovation, speeding… Read More
Artificial intelligence (AI) has the potential to fundamentally change healthcare and the life sciences that underpin it. Digital twins and computer vision are already proving better than humans at the prediction of disease or acute medical events, diagnosis of existing diseases and injuries, and design of potential treatments. There are two substantial roadblocks to the… Read More
In a world where we constantly hear about the latest software upgrade causing our favorite apps to break, why should you upgrade your out-of-support Thermo Fisher™ SampleManager LIMS™ v12.2 if it still works? “If it’s not broke, don’t fix it.” That’s the saying for a reason. There are many factors to consider when upgrading your… Read More
Rapid advances in the life sciences field coupled with the increasing complexity of data management necessitate efficient, adaptive, and iterative development methodologies. Implementing a life science informatics system is challenging, requiring flexibility to meet evolving scientific needs and regulatory requirements, as well as to integrate with cutting-edge technologies. Agile Scrum, a common framework for managing… Read More