Posted on October 12, 2026
By CSols Inc.
Blog, Featured Content
Why is digital transformation stalling in the physical sciences? In this CSols podcast episode, Uncountable CEO Noel Hollingsworth talks through what’s holding R&D teams back, where AI fits in, and how a modern lab architecture can help get new products to market faster. Worth a listen if you lead R&D or lab informatics projects.
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Posted on October 12, 2026
By Astrix Technology Group
Blog, Featured Content
Most LIMS platforms store lab data but can't help interpret it. This Astrix post explains how LabVantage CORTEX uses agentic AI to spot assay and instrument drift, stability concerns, and workflow bottlenecks as work progresses. It runs as an orchestration layer, so the validated LIMS stays untouched and scientists keep the final call.
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Posted on October 12, 2026
By LabLynx
Blog, Featured Content
LabLynx One is the next generation of LabLynx, available now. Instead of configuring a blank system for months, your lab starts with a ready-to-use solution built for your type of work, like water testing or used oil analysis, and runs in days or weeks. LabLynx LIMS and ELN are part of the platform, licensed by team with unlimited users.
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Posted on October 12, 2026
By SciY
Blog, Featured Content
Many growing biotech companies recognize the benefits of an Electronic Lab Notebook but hesitate because they expect a complex implementation process. Arxspan ELN removes those barriers with a cloud-based solution designed for chemistry and biology teams, enabling rapid evaluation without manual activation, software installation, or IT overhead. Experience how easy it can be to capture, search, and share experimental data in a platform built specifically for modern research workflows.
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Posted on October 12, 2026
By Kalleid
Blog, Featured Content
A global biopharma company’s drug discovery program was stalling: ML models stuck as prototypes, slow HPC runs, and pipelines no one could reproduce. This Kalleid case study shows how one embedded ML engineer with computational chemistry know-how built production-ready tools, scalable GPU workflows, and reproducible pipelines the team could own.
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Posted on October 1, 2026
By Astrix Technology Group
Blog, Featured Content
eCOA and digital health technology (DHT) data are rapidly becoming a dominant source of clinical trial data and increasingly support key efficacy and patient-centered endpoints. Multinational trials require consistent endpoint collection across countries, sites, and patient populations, while eCOA platforms integrate with wearable sensors and other DHTs to capture objective measures of patient health, activity, mobility, sleep, and symptom burden.
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Posted on October 1, 2026
By SciY
Blog, Featured Content
As biotech startups grow, managing experimental data, collaboration, and regulatory expectations becomes increasingly complex. Arxspan ELN provides chemistry and biology teams with a structured way to capture, organize, and share scientific knowledge while improving efficiency, reproducibility, and collaboration.
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Posted on October 1, 2026
By Kalleid
Blog, Featured Content
A global biopharmaceutical company facing an impending patent cliff sought to proactively close its future revenue gap and strengthen its early-stage pipeline. A senior-level Computational Chemistry Consultant helped the organization implement advanced computer methods and drive faster, more informed decision-making across its drug discovery pipeline.
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Posted on October 1, 2026
By CSols Inc.
Blog, Featured Content
A successful LIMS setup begins with understanding how your lab works right now and planning for where you want to go next. A rush to install without preparation often leads to more headaches down the line. A successful setup keeps pace with your team, responds to real workflow needs, and supports growth, not just today, but into the future.
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Posted on October 1, 2026
By LabLynx
Blog, Featured Content
Labs using Promium Element LIMS, HORIZON LIMS or Apollo LIMS face an end of life deadline and growing compliance risk. The replacement process requires data migration, report rebuilding and validation. LabLynx helps labs preserve existing workflows, assess what moves or retires, and run systems side by side before go-live.
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Posted on September 24, 2026
By CSols Inc.
Blog, Featured Content
Choosing the right LIMS comes down to identifying your specific lab archetype rather than relying on surface-level software reviews. With vastly different options built for enterprise GxP, agile biotech, and specialized R&D environments, clear, multi-stakeholder requirements are essential before selecting a vendor.
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Posted on September 24, 2026
By Kalleid
Blog, Featured Content
When a new system feels confusing, cumbersome, or disruptive, employees quietly fall back on what they know. Personal spreadsheets, unsanctioned collaboration tools, private cloud storage, and improvised workarounds create shadow IT, a symptom of failed user adoption that creates immediate regulatory exposure in GxP environments.
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Posted on September 24, 2026
By SciY
Blog, Featured Content
Still using spreadsheets and manual workflows? You may be wasting time and profit each week. Request a personalized ROI analysis to pinpoint waste, quantify the benefits of going digital, and see how LIMS improves throughput, compliance, and reporting. Get tailored recommendations you can take straight to your leadership team to support your digital transformation initiative.
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Posted on September 24, 2026
By Astrix Technology Group
Blog, Featured Content
Life sciences labs lose valuable time to manual documentation, review, and data reconciliation. Fragmented systems and transcription errors create costly data debt, limiting AI and predictive analytics. Automated Review-by-Exception workflows cut cycle times and help transform disparate laboratory data into a unified, AI-ready asset.
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Posted on September 24, 2026
By LabLynx
Blog, Featured Content
Environmental monitoring results are largely decided before a sample reaches the instrument. Collection, preservation, custody, and holding time controls can invalidate data before analysis begins. Laboratories must track these critical steps accurately, maintain control of records, and ensure deliverables meet the required state format and version.
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Posted on September 16, 2026
By CSols Inc.
Blog, Featured Content
Structuring R&D data turns AI into an organizational "high-speed librarian," multiplying scientists' expertise, drastically slashing formulation trial-and-error, and driving real ROI. Lisa Richard and Kyle Smith explore how coatings and performance materials companies can digitize faster and smarter while unlocking greater value from their R&D data.
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Posted on September 16, 2026
By Kalleid
Blog, Featured Content
Protocol amendments add costly delays to drug development, yet roughly 23% are considered preventable. AI helps sponsors catch design flaws, assess feasibility, and simulate operational performance before enrollment begins, reducing costly mid-trial changes while improving protocol quality and shortening development cycles.
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Posted on September 16, 2026
By SciY
Blog, Featured Content
Missed the live webinar? Watch the recording to understand how connected digital lab workflows help streamline sample tracking, automate data capture, and enhance traceability across the laboratory. Featuring a real-world use case, this session demonstrates how paperless processes can improve efficiency while supporting regulatory compliance.
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Posted on September 16, 2026
By Astrix Technology Group
Blog, Featured Content
With 71% of ELN initiatives failing to realize users’ objectives, selecting the right system requires more than tactical software acquisition. A vendor-agnostic framework helps organizations evaluate interoperability, scalability, and regulatory rigor while aligning scientific informatics with business objectives and building a unified digital strategy for long-term ROI.
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Posted on September 16, 2026
By CSols Inc.
Blog, Featured Content
The post identifies 10 warning signs that a laboratory is not ready for AI, including biased data, paper-based workflows, siloed systems, inconsistent naming, and weak leadership support. It also outlines four steps labs can take to build a FAIR-compliant, AI-ready informatics foundation.
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