Full automation, full potential: how robotics and AI are reshaping clinical microbiology
The clinical microbiology laboratory of the future is fully automated and guided by Artificial Intelligence. Getting there requires more than technology: it requires a clear understanding of the evidence, a realistic implementation strategy, and the courage to lead a team through change. This chapter explores what that journey looks like, from the first planning decision to the role AI will play in tomorrow’s diagnostic workflows – for laboratories ready to think seriously about where they are going.
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Master lecture
“Adapt or become extinct: leading pathology into the digital age.”
Graham Danks spent 48 years revolutionizing pathology services, shifting from manual workflows to complete lab automation, AI-assisted diagnostics, and end-to-end digitalization. In his Master Lecture, he discusses the lean principles behind his planning and what it truly takes to guide a team through change. This is the North Star Lecture for laboratory managers steering a digital transformation in clinical diagnostics.
Educational video
“AI is not replacing microbiologists; it is preserving microbiology.”
Culture interpretation is one of the most critical steps in the microbiology diagnostic workflow and still relies on human attention, shift after shift. In this educational video, we explore how AI is transforming this concept, from the early development of image analysis to its proven impact on urine, stool cultures, and MDRO surveillance.
White paper
“A Universal Approach for Full Microbiology Lab Automation: metrics, evidence and future vision”
Clinical microbiology labs face growing pressure from surging volumes, staff shortages, and the rise of antimicrobial resistance. This white paper examines full laboratory automation as a concrete response, covering end-to-end workflow architecture, the metrics for measuring impact, and findings from peer-reviewed studies conducted across North America and Europe.
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