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Journal Articles

Neural Network Diagnoses the Antiphospholipid Syndrome without Interrupting Anticoagulant Therapy

Romy de Laat-Kremers, Denis Wahl, Stéphane Zuily, Marisa Ninivaggi, Veronique Regnault, Jacek Musial, Philip G. de Groot, Katrien Devreese, Bas de Laat

Blood (2022) 140 (Supplement 1): 8388–8390.

https://doi.org/10.1182/blood-2022-163181

Published: 2022

Journal Articles

Development of a Neural Network to Predict Thrombosis in the Antiphospholipid Syndrome with an Accuracy of 87%

Romy Kremers, PhD, Stéphane Zuily, MD PhD, Philip De Groot, PhD, Coenraad Hemker, MD PhD, Denis Wahl, MD PhD, Bas De Laat, MD, PhD

Blood (2018) 132 (Supplement 1): 3796.

https://doi.org/10.1182/blood-2018-99-115834

Published: 2018

Journal Articles

The Isotype of Antiphospholipid Antibodies and Their Associated Risk on Thrombosis and Pregnancy Morbidity; What Are the Odds?

Walid Chayouâ, MSc, Hilde Kelchtermans, PhD, Gary Moore, MD, Jean-Christophe Gris, MD PhD, Jacek Musial, MD PhD, Stéphane Zuily, MDPhD, Bas De Laat, MD, PhD, Katrien Devreese, PhD MD

Blood (2018) 132 (Supplement 1): 1220.

https://doi.org/10.1182/blood-2018-99-113361

Published: 2018

Journal Articles

The Identification of High Risk APS Patients for Thrombosis with Triple Antiphospholipid Antibody Positivity Is Platform Dependent

Walid Chayouâ, MSc, Hilde Kelchtermans, PhD, Gary Moore, MD, Jacek Musial, MD PhD, Denis Wahl, MD PhD, Stéphane Zuily, MDPhD, Armando Tripodi, PhD, Pierre Fontana, MD PhD, Jasper A. Remijn, PhD, Bas De Laat, MD PhD, Katrien Devreese, MD PhD

Blood (2017) 130 (Supplement 1): 555.

https://doi.org/10.1182/blood.V130.Suppl_1.555.555

Published: 2017

Journal Articles

Poor Agreement between Commercially Available Anti-Cardiolipin and Anti-β2glycoprotein I IgG and IgM Solid Phase Assays Hampers Uniformity in the Classification of Antiphospholipid Syndrome Patients

Walid Chayouâ, MSc, Hilde Kelchtermans, PhD, Gary Moore, MD, Jean-Christophe Gris, MD PhD, Jacek Musial, MD PhD, Denis Wahl, MD PhD, Stéphane Zuily, MDPhD, Armando Tripodi, PhD, Pierre Fontana, MD PhD, Jasper A. Remijn, PhD, Bas De Laat, MD PhD, Katrien Devreese, MD PhD

Blood (2017) 130 (Supplement 1): 1059.

https://doi.org/10.1182/blood.V130.Suppl_1.1059.1059

Published: 2017

Journal Articles

Applying Neural Networking Identifies Antiphospholipid Syndrome Patients with an Accuracy of 98.7%

Romy Kremers, PhD, Stéphane Zuily, MDPhD, Hilde Kelchtermans, PhD, Philip G. de Groot, PhD, Tessa Peters, Saartje Bloemen, PhD, Coenraad Hemker, MD PhD, Denis Wahl, MD PhD, Bas De Laat, MD PhD

Blood (2017) 130 (Supplement 1): 460.

https://doi.org/10.1182/blood.V130.Suppl_1.460.460

Published: 2017

Journal Articles

The Rate of Prothrombin Conversion Is Increased in Antiphospholipid Syndrome and Is Insensitive to Thrombomodulin

Romy Kremers, PhD, Stéphane Zuily, MD MPH, PhD, Hilde Kelchtermans, PhD, Tessa Peters, Saartje Bloemen, PhD, Véronique Regnault, PhD, Denis Wahl, MD MPH, PhD, Bas De Laat, MD PhD

Blood (2016) 128 (22): 718.

https://doi.org/10.1182/blood.V128.22.718.718

Published: 2016

NARROW

Neural Network Diagnoses the Antiphospholipid Syndrome without Interrupting Anticoagulant Therapy

Development of a Neural Network to Predict Thrombosis in the Antiphospholipid Syndrome with an Accuracy of 87%

The Isotype of Antiphospholipid Antibodies and Their Associated Risk on Thrombosis and Pregnancy Morbidity; What Are the Odds?

The Identification of High Risk APS Patients for Thrombosis with Triple Antiphospholipid Antibody Positivity Is Platform Dependent

Poor Agreement between Commercially Available Anti-Cardiolipin and Anti-β2glycoprotein I IgG and IgM Solid Phase Assays Hampers Uniformity in the Classification of Antiphospholipid Syndrome Patients

Applying Neural Networking Identifies Antiphospholipid Syndrome Patients with an Accuracy of 98.7%

The Rate of Prothrombin Conversion Is Increased in Antiphospholipid Syndrome and Is Insensitive to Thrombomodulin

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ASH Publications

American Society of Hematology

Neural Network Diagnoses the Antiphospholipid Syndrome without Interrupting Anticoagulant Therapy

Development of a Neural Network to Predict Thrombosis in the Antiphospholipid Syndrome with an Accuracy of 87%

The Isotype of Antiphospholipid Antibodies and Their Associated Risk on Thrombosis and Pregnancy Morbidity; What Are the Odds?

The Identification of High Risk APS Patients for Thrombosis with Triple Antiphospholipid Antibody Positivity Is Platform Dependent

Poor Agreement between Commercially Available Anti-Cardiolipin and Anti-β2glycoprotein I IgG and IgM Solid Phase Assays Hampers Uniformity in the Classification of Antiphospholipid Syndrome Patients

Applying Neural Networking Identifies Antiphospholipid Syndrome Patients with an Accuracy of 98.7%

The Rate of Prothrombin Conversion Is Increased in Antiphospholipid Syndrome and Is Insensitive to Thrombomodulin

Email alerts

ASH Publications

American Society of Hematology

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