| How Do Labs Love AI? Let Us Count the Ways  AI has moved from buzzword to functional requirement in modern labs, but it is only as good as the data feeding it. This CSols guide counts twelve practical ways labs are putting AI to work, from automating documentation and predictive maintenance to image analysis and protocol design, with the scientist firmly in the loop.[Read More]
A Western Blot Template That Adapts to Your Lab's Workflow  ELabELN's Western blot template ships with a 10-step protocol, validated antibody dilutions, and structured fields for gel percentage, loading, and transfer parameters. Labs edit the configuration to match the antibody pair they actually run, capturing every step in a tamper-evident record that supports reproducibility and 21 CFR Part 11 review.[Read More]
Beyond the AI Hype: What Smarter Science Actually Looks Like  At SapioCon 2026, Sapio Sciences explored whether advanced AI methods can be made operational inside workflows that are governed, traceable, and built for real-world decisions. The event showed labs moving from isolated AI tools to orchestrated discovery, with intelligence embedded in the validated record rather than bolted on as an afterthought.[Read More]
Driving Enterprise Transformation Through a Best-In-Class Sapio LIMS Implementation  A global clinical trial solutions partner managing 80+ lab partners with a fractured legacy ecosystem brought in Kalleid to validate a new Sapio LIMS. Eight months in, with the project at risk, the company gave Kalleid full implementation leadership to orchestrate workstreams, migrate 364 studies, and deliver an integrated platform.[Read More]
Selecting and Making a Strategic Business Case for Veeva LIMS in Life Sciences  As legacy lab systems become measurable risks to quality and compliance, Astrix lays out a framework for executives evaluating Veeva LIMS. The article covers selection criteria, ROI math including total cost of ownership and labor reduction, the phased implementation methodology, and how to maintain a validated state in a cloud-native environment.[Read More]
LIMS vs. ELN: What Every Lab Leader Needs to Know Before Choosing  Every year, labs invest in software they don't fully need or skip software they desperately do, and both mistakes carry real financial consequences. LIMS and ELN sound similar but solve fundamentally different problems. This LabLynx guide breaks down what each system delivers, when you need both, and how to make a confident, ROI-driven decision.[Read More]
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