Vibe coding and the illusion of competence: why laboratory medicine specialists shouldn’t trust their AI-generated code for clinical deploymentSander De Bruyneon September 4, 2026 at 10:00 am

Clin Chem Lab Med. 2026 Sep 7. doi: 10.1515/cclm-2026-0887. Online ahead of print. ABSTRACT The boom of generative artificial intelligence (AI) is empowering laboratory medicine specialists to create clinical software through conversational prompts without formal programming training, a practice referred to as “vibe coding”. Although vibe coding provides unprecedented potential to address workflow inefficiencies, it … Read more

Evaluating feasibility of ferritin assay harmonisation with commutable proof-of-concept reference materials and EQA-based monitoringMoniek M Biochon September 3, 2026 at 10:00 am

Clin Chem Lab Med. 2026 Sep 3. doi: 10.1515/cclm-2026-1100. Online ahead of print. ABSTRACT OBJECTIVES: Clinical interpretation of ferritin is hindered by between-assay differences, persisting despite the introduction of different generations of WHO standard. To aid harmonisation efforts, this study investigates the commutability of External Quality Assessment (EQA) materials, proof-of-concept reference materials (cRMs), and the … Read more

Validation of synthetic M-protein materials for external quality assessment: homogeneity, commutability, and stabilityMoniek M Biochon September 3, 2026 at 10:00 am

Clin Chem Lab Med. 2026 Sep 3. doi: 10.1515/cclm-2026-0893. Online ahead of print. ABSTRACT OBJECTIVES: Accurate quantification of M-proteins is important for clinical management of monoclonal gammopathies. Reliable assessment of trueness on M-protein quantification in External Quality Assessment (EQA) schemes is difficult due to the lack of reference methods and materials for target value assignment. … Read more

Translating analytical performance into clinical misclassification risk: a probabilistic framework for HbA1c interpretationLorenza Fagnanion September 2, 2026 at 10:00 am

Clin Chem Lab Med. 2026 Sep 3. doi: 10.1515/cclm-2026-1099. Online ahead of print. ABSTRACT OBJECTIVES: Using HbA1c for diabetes diagnosis directly links analytical uncertainty to patient classification. Since traditional performance metrics provide limited insight into these clinical implications, we developed a probabilistic framework to translate HbA1c concentrations and components of analytical uncertainty into clinically interpretable … Read more

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