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Test equipment monitoring in the laboratory: How to organize maintenance and calibration in compliance with standards

Test equipment monitoring in the laboratory: How to plan maintenance and calibration in accordance with ISO 17025, ISO 15189, GMP and GLP standards - without Excel chaos and deadline gaps.

Digitization
Equipment Management
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Equipment faults in laboratories: Modern approaches for standard-compliant fault management

Manage equipment errors professionally: Find out how digital test equipment management, laboratory digitization and AI-supported equipment management ensure ISO 17025, ISO 15189 and GxP compliance. ✓ Learn more

Digitization
Equipment Management
Laboratory management
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Modern laboratory management: When the experts leave - why safeguarding knowledge is now a top priority

Shortage of specialists, complex analytics, dependent on individual experts? Find out how systematic knowledge retention can make your laboratory more stable, efficient and future-proof.

Digitization
Laboratory management
Knowledge management
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Two standards, one goal: Quality and competence in the laboratory according to ISO 17025 and ISO 15189

ISO 17025 or ISO 15189? Find out the differences and similarities - and how LabThunder combines both standards digitally.

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From Excel lists to digital test equipment management - why ISO 17025 demands more

Find out how to comply with ISO 17025 in test equipment management - from Excel lists to digital device management.

Digitization
Equipment Management
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Annex 22 & AI in the laboratory: What the new EU GMP guideline means for your day-to-day laboratory work

Annex 22 to the EU GMP Guideline explained: Distinguishing critical vs. non-critical AI in the laboratory, understanding validation obligations and fulfilling regulatory requirements

AI in Lab
Digitization
Laboratory automation
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Preventive vs. predictive maintenance in the lab - why it's time to rethink maintenance

Preventive maintenance is often not enough. How laboratories use existing data to carry out predictive maintenance and start digital maintenance - without any sensors.

Digitization
Equipment Management
Laboratory automation
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Knowledge management in the laboratory

Knowledge loss is one of the biggest, yet most underestimated, problems in modern laboratory operations. Over 80% of laboratory personnel rely on individual knowledge. In this article, we explore why traditional structures fail, the hidden costs of knowledge gaps, and how digital systems and AI can help make knowledge permanently usable.

AI in Lab
Equipment Management
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The key to laboratory automation - hardware in focus

Laboratory automation: increasing efficiency, reducing costs and minimizing errors - how modern technologies are revolutionizing laboratories

Laboratory automation
Equipment Management
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