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Gabriella Azzarini

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Blood Coagulation & Fibrinolysis : an International Journal in Haemostasis and Thrombosis|September 15, 2015
Lupus anticoagulant: a multicenter study for a standardized and harmonized reportingAlessandra Poz, Paola Pradella, Gabriella Azzarini, et al.
Clinical Chemistry and Laboratory Medicine|September 25, 2012
Cooperation experience in a multicentre study to define the upper limits in a normal population for the diagnostic assessment of the functional lupus anticoagulant assaysPaola Pradella, Gabriella Azzarini, Liliana Santarossa, et al.
International Journal of Laboratory Hematology|May 8, 2024
Comparison of four D-dimer assays in the context of venous thromboembolism in the emergency departmentFabio Del Ben, Elisabetta Fontanini, Gabriella Azzarini, et al.
Clinica Chimica Acta; International Journal of Clinical Chemistry|March 18, 2026
Biological variation outweighs pre-analytical factors in coagulation reference intervals: a multicenter big data studyFabio Del Ben, Gabriella Azzarini, Alessandra Brocca, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Blood Coagulation & Fibrinolysis : an International Journal in Haemostasis and Thrombosis|September 15, 2015
Lupus anticoagulant: a multicenter study for a standardized and harmonized reportingAlessandra Poz, Paola Pradella, Gabriella Azzarini, et al.
Clinical Chemistry and Laboratory Medicine|September 25, 2012
Cooperation experience in a multicentre study to define the upper limits in a normal population for the diagnostic assessment of the functional lupus anticoagulant assaysPaola Pradella, Gabriella Azzarini, Liliana Santarossa, et al.
International Journal of Laboratory Hematology|May 8, 2024
Comparison of four D-dimer assays in the context of venous thromboembolism in the emergency departmentFabio Del Ben, Elisabetta Fontanini, Gabriella Azzarini, et al.
Clinica Chimica Acta; International Journal of Clinical Chemistry|March 18, 2026
Biological variation outweighs pre-analytical factors in coagulation reference intervals: a multicenter big data studyFabio Del Ben, Gabriella Azzarini, Alessandra Brocca, et al.
Pageof 1