Clinical Chemistry

Advancements in Blood Group Genotyping Technology and Clinical Applications

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Clin Chem. 2026 Feb 18:hvag008. doi: 10.1093/clinchem/hvag008. Online ahead of print. ABSTRACT BACKGROUND: Blood group typing is essential in transfusion medicine, transplantation, and prenatal care. With the elucidation of the molecular genetics underlying blood group antigens, primarily single-nucleotide variants (SNVs), DNA-based genotyping has emerged as a powerful alternative to serological methods, enabling more accurate and … Read more

Characterization of STRC Gene Conversions by Nanopore Sequencing

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Clin Chem. 2026 Feb 16:hvag004. doi: 10.1093/clinchem/hvag004. Online ahead of print. ABSTRACT BACKGROUND: Biallelic loss-of-function variants of STRC are a frequent cause of mild to moderate nonsyndromic hearing loss. The high (>98%) sequence homology between STRC and its pseudogene STRCP1 poses a significant challenge for accurate interpretation of STRC variants using standard methods. Although STRC-STRCP1 … Read more

Evaluation of Large-Language Models for Structured Feature Extraction of Anatomic and Clinical Pathology Reports

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Clin Chem. 2026 Feb 12:hvag006. doi: 10.1093/clinchem/hvag006. Online ahead of print. ABSTRACT BACKGROUND: Feature extraction via manual chart review is often used for both patient care and research, but it is time-intensive and costly. Recent improvements in natural language processing present novel opportunities to perform high-throughput automated feature extraction. Here, we assessed the accuracy of … Read more

Detection of Advanced Liver Fibrosis Using Blood Noninvasive Tests: A Laboratory Medicine Perspective

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Clin Chem. 2026 Feb 3:hvaf193. doi: 10.1093/clinchem/hvaf193. Online ahead of print. ABSTRACT BACKGROUND: Despite its growing impact, advanced liver fibrosis (ALF) remains substantially underdiagnosed in both primary and specialized care settings. Since liver cirrhosis is typically preceded by a prolonged phase of asymptomatic fibrosis, early detection of ALF, particularly in high-risk individuals, represents a public … Read more

Discovery of an Artificial Intelligence Label Feedback Loop: How the Success of a Clinically Implemented Artificial Intelligence Algorithm Has Created an Unforeseen Challenge to Algorithm Retraining

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Clin Chem. 2026 Feb 2:hvag001. doi: 10.1093/clinchem/hvag001. Online ahead of print. ABSTRACT BACKGROUND: Artificial intelligence (AI) augmented laboratory tests can improve quality, efficiency, cost-effectiveness, and staff satisfaction. However, the clinical success of these tests can introduce unforeseen challenges for model retraining. This study describes the discovery of an “AI label feedback loop” in a clinically … Read more

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