Journal – Page 4 – Clinical Chemistry INFO

Comparative diagnostic utility of cerebrospinal fluid biomarkers in multiple sclerosison October 7, 2026 at 2:33 pm

October 7, 2026 by ccinfoadmin

Publication date: 15 March 2027 Source: Clinica Chimica Acta, Volume 594 Author(s): Basant Rashad, Sohair K. Sayed, Tarek A. Rageh, Eman R. Badawy, Dalia T. Kamal

Hemoglobin-normalized thiamine diphosphate (vitamin B1) in whole blood: Reference intervals and clinical implications for status assessmenton October 7, 2026 at 11:28 am

October 7, 2026 by ccinfoadmin

Publication date: December 2026 Source: Clinical Biochemistry, Volume 146 Author(s): Sybille Guihaire, Damien Denimal

A novel γ-chain Tyr306Asn missense mutation causes congenital dysfibrinogenemiaon October 6, 2026 at 2:02 pm

October 6, 2026 by ccinfoadmin

Publication date: 15 March 2027 Source: Clinica Chimica Acta, Volume 594 Author(s): Yangyang Wu, Lu He, Chen Qian, Meiling Luo, Qinghui Luo, Liqun Xiang, Min Chen, Xinyan Chen, Lin Liao, Jie Yan, Faquan Lin

A new indicator of cobalamin deficiencyon October 6, 2026 at 1:00 pm

October 6, 2026 by ccinfoadmin

Publication date: December 2026 Source: Practical Laboratory Medicine, Volume 52 Author(s): Arne Åsberg, Øyvind Skadberg

Kidney-specific cell-free DNA as biomarker of kidney injury: Development and exploration of a multiplex digital droplet PCR assayon October 6, 2026 at 10:58 am

October 6, 2026 by ccinfoadmin

Publication date: December 2026 Source: Clinical Biochemistry, Volume 146 Author(s): Ann-Maria Gramkow, Mads Malik Aagaard Jørgensen, Helle Charlotte Thiesson, Rikke Fredslund Andersen

Association between elevated serum cobalamin concentrations and malignancy: a retrospective cohort study from the western Cape, South Africaon October 6, 2026 at 10:58 am

October 6, 2026 by ccinfoadmin

Publication date: December 2026 Source: Clinical Biochemistry, Volume 146 Author(s): Craig J. Andrews, Sa’ad Lahri, Tonya M. Esterhuizen, Annalise E. Zemlin, Thumeka P. Jalavu

Adjustment and validation of convolutional neural network for indirect immunofluorescence interpretation of antinuclear and anti-neutrophil cytoplasmic antibodies: A multicenter studyon October 2, 2026 at 12:04 pm

October 2, 2026 by ccinfoadmin

Publication date: 15 March 2027 Source: Clinica Chimica Acta, Volume 594 Author(s): Rulin Jia, Yun Li, Jing Hu, Xianzi Cong, Yinxue Ma, Jianping Guo, Zhiyan Li, Haiping Zhang

Three FBN1 pathogenic variants in Chinese patients with Marfan syndrome: Two novel variants including a splicing-altering deletion with functional verificationon October 2, 2026 at 12:04 pm

October 2, 2026 by ccinfoadmin

Publication date: 15 March 2027 Source: Clinica Chimica Acta, Volume 594 Author(s): Xing Zhao, Lamei Yuan, Yan Sun, Hong Xia, Pengzhi Hu, Hongbo Xu, Lina Gong, Hao Deng

Classification of serum protein and immunofixation electrophoresis images by computer vision-based deep learning models: A single- and dual-modality studyMaide Hacer Alagöz, Simge Erdem, Poyraz Doğan, İbrahim Utku Derman, Mehmet Güven Günver, Özlem Çakır Madenci, Evin Ademoğlu1Kartal Dr Lütfi Kırdar City Hospital, Biochemistry Laboratory, University of Health Sciences, İstanbul, Türkiye2İstanbul Faculty of Medicine, Department of Internal Medicine, Division of Hematology, İstanbul University, İstanbul, Türkiye3İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye4Faculty of Engineering, Boğaziçi University, İstanbul, Türkiye5İstanbul Faculty of Medicine, Department of Biostatistics, İstanbul University Türkiye, İstanbul, Türkiye6İstanbul Faculty of Medicine, Department of Medical Biochemistry, İstanbul University, İstanbul, Türkiyeon May 13, 2026 at 11:19 am

October 2, 2026 by ccinfoadmin

Annals of Clinical Biochemistry, Ahead of Print. ObjectivesThe objective of this study was to develop deep learning models for the automated classification of serum protein electrophoresis (SPE) and immunofixation electrophoresis (IFE) images into oncologic, non-oncologic, and healthy categories, and to …

Awareness, attitudes, and perceived barriers to artificial intelligence adoption in Turkish clinical biochemistry laboratories: An exploratory cross-sectional surveySaid İncir, Kerim Erhan Palaoğlu, Osman Oğuz, Ayşegül Özgenç, Yunus Gören, Deniz İlhan Topcu, Dildar Konukoğlu1Department of Medical Biochemistry, Koç University School of Medicine, İstanbul, Türkiye2587267Clinical Laboratory, Koç University Hospital, İstanbul, Türkiye3Clinical Laboratory, VKV American Hospital, İstanbul, Türkiye4723887Department of Clinical Biochemistry, TC Sağlık Bakanlığı Gaziantep Şehir Hastanesi, Gaziantep, Türkiye5680000Department of Medical Biochemistry, TC Sağlık Bakanlığı İzmir Şehir Hastanesi, İzmir, Türkiye6532719İstanbul Üniversitesi-Cerrahpaşa, Istanbul, Türkiyeon May 13, 2026 at 2:37 am

October 2, 2026 by ccinfoadmin

Annals of Clinical Biochemistry, Ahead of Print. BackgroundArtificial intelligence (AI) is increasingly recognized as transformative in laboratory medicine, yet adoption lags behind radiology and cardiology. Limited data exist on AI-related attitudes and perceived barriers in Turkish clinical …