With 66% of complex enterprise software implementations failing to meet objectives, choosing the right laboratory information system demands more than a feature checklist. Astrix outlines a regulatory-first selection framework covering stakeholder alignment, 21 CFR Part 11 compliance, build vs. buy analysis, and phased implementation strategy.
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How long should you keep lab notebooks? The answer depends on your field, funding source, and regulatory requirements. From NIH's 3-year minimum to indefinite retention for patent-related work, this guide breaks down retention timelines across academia, FDA-regulated research, clinical trials, GLP studies, and more.
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PE firms eyeing eClinical tech investments should evaluate five key areas: the rapidly growing market landscape (projected to hit ~$13B by 2035), core platform architecture and technical debt, regulatory compliance maturity (GxP, 21 CFR Part 11), a clear post-acquisition integration and value-creation strategy, and rigorous, objective due diligence across all dimensions.
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Investing in laboratory informatics software leads to measurable ROI through increased efficiency, reduced errors, and streamlined workflows. From faster turnaround times to improved compliance and scalability, labs that adopt the right digital tools position themselves for long-term operational and financial success.
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Biotech labs can control costs and boost efficiency through strategic workflow automation. By aligning LIMS, ELN, and other informatics platforms with existing processes, labs eliminate manual data re-entry, reduce bottlenecks between disconnected systems, and maintain audit-ready data integrity — freeing scientists to focus on real lab work instead of managing tech issues.
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A global biopharma company building a new cell therapies manufacturing facility lacked in-house expertise for 21 CFR 11-compliant IT documentation. Kalleid implemented a writing and review framework, trained multinational engineering teams, and managed document release through the QMS — eliminating the documentation bottleneck and keeping the facility on its go-live timeline.
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With 65% of scientists repeating experiments due to lost context and 55% of scientific data effectively "dark," life sciences organizations need a "digital-from-day-one" strategy. Building a unified lab informatics backbone before the science begins ensures audit-ready compliance, preserves workflow context, and creates the trusted data foundation AI tools require to deliver real value.
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Tired of spending hours searching for old protocols or reconstructing what you did last month? These five documentation habits work with whatever system you're using right now, paper or digital. Learn how to document while doing, create reusable templates, and photograph everything visual. Start with just one habit and reclaim your time immediately.
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LabLynx seeded 16 of the most common laboratory pain points into a March Madness-style bracket across four regions: Data, Compliance, Integration, and Operations. From manual data entry and data silos to regulatory gaps and sample tracking errors, each matchup breaks down the real-world impact and explores how a modern LIMS eliminates the challenge.
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AI investment in life sciences is surging, but enterprise-wide impact remains uneven. SapioCon 2026 explored why: the bottleneck isn't capability, it's coordination. With 65% of scientists repeating experiments due to lost context and over half of organizational data trapped in silos, the real challenge is building workflows where AI can deliver end to end.
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A global biopharma company replaced two legacy systems and Excel-based tracking tools with a unified clinical supply chain application. Kalleid led Communications, Training, and SOP workstreams across US and Japan sites, driving organizational change management through a complex, multi-team harmonization effort spanning hundreds of clinical trials.
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Stop focusing on what happened in your lab and start predicting what’s next. In this episode, expert Ken Alves reveals how to shift from reactive firefighting to "predictive control." While LIMS tracks the past, Ken explains how an intelligence layer—powered by AI and digital twins—can anticipate instrument failures and design compliance directly into your workflows.
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In this Astrix podcast, consulting leader Trisha St-Fleur and Semaphore's Meghan Bowman explore how to optimize business processes in IT and scientific analysis. They cover the role of business processes in IT implementations, process modeling and optimization best practices, and practical lessons learned from real-world laboratory informatics projects.
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This CSols white paper provides a phased roadmap for labs to transition from siloed, manual data management to a modern, AI-ready environment using FAIR data principles. It covers baseline data maturity assessments across five key dimensions and quick-win actions like centralizing data catalogs and standardizing metadata to build long-term scalability.
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Choosing an ELN is a workflow decision that affects how your entire team documents, shares, and retrieves research. This buyer's guide walks through how to assess your lab's needs, run a hands-on evaluation with real experiments, ask the right vendor questions, spot red flags, and plan for adoption that sticks beyond the first month.
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There is no single best LIMS. With 120+ vendors worldwide, the real question is which one fits your workflows. This guide breaks down the often-overlooked factors behind a successful selection, from total cost of ownership and cloud strategy to the shift toward scientific data platforms and why incomplete requirements are the top reason implementations fail.
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Not all ELN features are created equal. The difference between software that transforms your lab and software that collects dust comes down to 12 essential capabilities, from full-text search and immutable timestamps to complete data export and API access. Learn what to evaluate before you commit so your team actually uses it.
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Over 75% of scientists admit to using unvetted AI tools outside governed systems just to keep up. This SapioCon 2026 recap explores why coordination, not ambition, remains the real R&D bottleneck and how embedding intelligence directly into the lab record is replacing bolt-on tools with orchestrated, traceable, audit-ready workflows.
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Can AI move beyond assisting researchers to actually managing lab workflows? In this episode, host Becky Stewart and AI leader Patrick Callahan explore the regulatory hurdles facing synthetic trial data and the rise of agentic AI in life sciences. Learn what it takes to build trust when the AI is making decisions, not just recommendations.
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When a national toxicology lab needed CLIA/GMP/GLP/GCP compliance fast to perform COVID-19 testing, 75+ SOPs had to be analyzed, merged, and migrated on a tight deadline. Learn how Kalleid's technical communicators completed a full gap analysis, content migration, and peer review, saving the client 100+ hours and finishing a month ahead of schedule.
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