Lost Samples? The Label Blunder That’s Costing Labs Millions (Fix It With This Simple Inventory Trick!)
Lost or mislabeled samples are costing labs time, money, and credibility. This article exposes the hidden risks of poor labeling practices and reveals a simple yet powerful LIMS-driven strategy to eliminate errors, ensure full traceability, and protect your lab’s reputation from preventable disasters. [Read More]
How are AI/ML technologies currently used for R&D applications?
AI and machine learning are rapidly reshaping R&D, especially in drug discovery, where they’re transforming how researchers identify and develop new treatments. By analyzing complex data, automating tasks, and uncovering new insights, these tools are driving efficiency and innovation across the industry. As the field evolves, new advancements continue to emerge. This article is part 4 of our ongoing series on AI’s impact in R&D. [Read More]
What Is a Scientific Data Platform?
Scientific data platforms have emerged on the research scene in the last few years with a promise to transform laboratory science from a cluttered attic full of uncategorized boxes into a state-of-the-art, AI-powered research library. But what are they, exactly? Are they the Wizard of Oz, or the man behind the curtain? The truth is, they’re a little of both. [Read More]
Meeting Regulatory Demands: How Medical Devices LIMS Ensures Product Integrity
Xybion Medical Device LIMS helps manufacturers ensure regulatory compliance and product integrity by automating quality control, maintaining traceability, and streamlining documentation to meet FDA, ISO, and cGxP standards throughout the medical device lifecycle. [Read More]
Six Types of Software Requirements in Lab Informatics and When to Use Them
Before implementing new software, labs should document what the software must do. These “requirements” guide the system to meet the lab’s needs, but not all requirements are the same. Different types serve different purposes throughout the software lifecycle. Whether you're deploying a LIMS, LIS, ELN, CDS, or other system, it's important to understand the various types of requirements and how they’re used. [Read More]
CSOLS: CSols Podcast Season 1, Episode 5: Lab Digital Transformation Isn’t a Tool—It’s a Culture Shift
In this episode, we explore why tech projects often fail: it's rarely technical, but because of people. Engaging your team early and understanding lab science can make projects six times more likely to succeed. We address common challenges like training gaps and building trust in new tools, including AI. The key takeaway: digital transformation is a people project, not just a software one, with practical tips for getting real value from your lab’s tech investments. [Read More]
Top LIMS Implementation Tips: How to Successfully Transition Your Lab
Implementing a LIMS does not have to be overwhelming. This guide shares essential tips to plan, execute, and succeed, from setting clear goals to ensuring user adoption. Learn how to avoid costly mistakes and unlock the full potential of your lab’s data with a smooth and strategic LIMS rollout. [Read More]
How to Drive Quality, Compliance, and Safety in Your Laboratory
Join Autoscribe Informatics, a Xybion company, a leading LIMS company that enables digital transformation in highly regulated industries, for an exclusive opportunity to gain valuable insights from Samuel Clark, Technical Sales Manager at Autoscribe Informatics, as he shares valuable insights on how leading labs are transforming their operations by embedding quality, compliance, and safety into their culture, workforce, and systems.…
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An annual international trade fair for laboratory technology, analysis, and biotechnology…
LIMS Technical Leader
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Laboratory Informatics Weekly Update – Volume 23, Issue 26
July 7, 2025 Laboratory Informatics Weekly Update Volume 23, Issue 26 In This Issue Featured Books Justifying LIMS Acquisition and Deployment within Your Organization Featured Content What Labs Can Learn from Tech Giants Like Netflix, Amazon, and TeslaTech giants like Netflix, Amazon, and Tesla have completely reimagined how systems operate. Now, laboratories have the opportunity to follow their lead. Learn how personalization, real-time visibility, and smart automation can reshape how your lab works, grows, and keeps up in a fast-changing environment. [Read More] The Importance of Data Integrity in the Laboratory: Adhering to FDA Standards and ALCOA PrinciplesIn regulated…What Labs Can Learn from Tech Giants Like Netflix, Amazon, and Tesla
Tech giants like Netflix, Amazon, and Tesla have completely reimagined how systems operate. Now, laboratories have the opportunity to follow their lead. Learn how personalization, real-time visibility, and smart automation can reshape how your lab works, grows, and keeps up in a fast-changing environment. [Read More]
The Importance of Data Integrity in the Laboratory: Adhering to FDA Standards and ALCOA Principles
In regulated lab environments, maintaining data integrity is key to compliance, reliability, and operational success. While most off-the-shelf lab informatics systems offer strong data integrity controls, challenges arise when labs connect instruments and equipment using file transfers. This common practice can compromise data accuracy and consistency, potentially leading to compliance issues. [Read More]
CSols Podcast Season 1, Episode 4: What you need to know about AI in the Lab
This episode demystifies AI's role in the lab, breaking down complex concepts for beginners. We explore real-world applications like intelligent alerts and smarter reporting, while addressing myths such as AI being “plug and play” or replacing humans with AI. Learn why data quality and human oversight are key to successful AI implementation, ensuring efficiency, accuracy, and compliance. Tune in to see how AI is transforming lab operations—and how your organization can embrace it to work smarter and stay competitive. [Read More]
Astrix On Demand Webinar – How to achieve complete, robust and scalable lab integration, data management and visualization
Integrations between LIMS, ELN, CDS, and instruments are often ad hoc, leading to isolated data, delays, and limited system value. Manual entry and poor connectivity hinder FAIR data practices and analysis. This webinar explores a better approach to integration, data management, and visualization. [Read More]
Reducing Human Error in Labs: Strategies for Safer, Smarter Science
Human error is one of the biggest threats to lab accuracy, but it’s also one of the easiest to reduce with the right systems in place. From automating data entry to standardizing workflows, labs can take simple, strategic steps to boost reliability, improve results, and keep operations running smoothly. [Read More]
