| 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]
Building a Digital-First Cancer Diagnostic Laboratory with Sapio Sciences  Navignostics collaborated with Sapio Sciences to establish a digital-first cancer diagnostics lab, aiming for rapid, treatment-guiding reports. The outcome is a highly efficient, automated, and scalable diagnostic environment, allowing fast turnaround times and complete data traceability for advanced cancer care. [Read More]
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