Expert industry insights
Practical articles on lab software, data and AI, written by the team that builds software for biotech companies.
CRO LIMS × Biotech
How to choose a LIMS for a biotech CRO
How to choose a LIMS for a CRO, covering sponsor data separation, study and contract workflows, sample traceability, and when a custom build is worth it.
Myroslav SyrkoCOO at CodePhusionFHIR × Lab Data
Healthcare data exchange with FHIR for lab operations
How FHIR healthcare data exchange affects lab operations, covering the regulations, implementation guides, LOINC mapping and the questions to ask vendors.
LIMS × Inventory
How smart lab inventory predicts reagent shortages
Over 40% of reagents expire unused while experiments stall from stockouts. Smart lab inventory predicts shortages, tracks suppliers, and recommends reorders.
Audit Trails × UX
Why labs need human-readable audit trails
Dense audit trails slow labs down. Discover how readable summaries, filters, and timelines improve compliance workflows without sacrificing traceability.
LIMS × Collaboration
Keeping lab conversations in the LIMS with contextual chat
Scientists lose 30% of their day to scattered messages. LIMS contextual chat keeps discussions, files, and approvals attached to samples and projects directly.
Lab Tasks × LIMS
Moving the lab daily checklist from whiteboards to the LIMS
Replace sticky notes and Outlook reminders with built-in LIMS checklists. Assign tasks, set deadlines, and track lab chores linked to samples and experiments.
Roles × Dashboards
How a customised LIMS dashboard organises daily lab work
Generic LIMS dashboards waste time. See how role-based customisation gives lab managers, scientists and QA teams exactly what they need, without the noise.
Integrations × Lab Software
Which lab integrations save time (and which just sound cool)
Not every lab integration is worth it. Learn which LIMS, ELN, inventory and ERP connections deliver real productivity, and which ones often overpromise.
UX × Lab Software
Designing LIMS interfaces that scientists want to use
How to design LIMS interfaces that scientists want to use, with fewer clicks, clearer screens, familiar terminology and workflows built around real lab roles.
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