AIMC Topic: Factor VIII

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Prediction of inhibitor development in previously untreated and minimally treated children with severe and moderately severe hemophilia A using a machine-learning network.

Journal of thrombosis and haemostasis : JTH May 27, 2024
BACKGROUND: Prediction of inhibitor development in patients with hemophilia A (HA) remains a challenge.
Humans Machine Learning Biomarkers Reproducibility of Results Risk Factors Male Risk Assessment Infant Severity of Illness Index Time Factors Treatment Outcome Predictive Value of Tests Blood Coagulation Factor Inhibitors Hemophilia A Factor VIII
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Application of machine learning approaches for predicting hemophilia A severity.

Journal of thrombosis and haemostasis : JTH May 7, 2024
BACKGROUND: Hemophilia A (HA) is an X-linked congenital bleeding disorder, which leads to deficiency of clotting factor (F) VIII. It mostly affects males, and females are considered carriers. However, it is now recognized that variants of F8 in femal...
Humans Machine Learning Phenotype Female Reproducibility of Results Male Severity of Illness Index Genetic Predisposition to Disease Genotype Databases, Genetic Predictive Value of Tests Hemophilia A Factor VIII
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Evaluation of risk factors for thromboembolic events in multiple myeloma patients using multiple machine learning models.

Medicine Feb 14, 2025
Venous thromboembolic events (VTE) is a frequent complication in multiple myeloma (MM) patients, raising mortality. This study aims to use machine learning to identify VTE risk factors in MM, helping to pinpoint high-risk individuals for better clini...
Humans Machine Learning Retrospective Studies Female Risk Factors Aged Adult Male Middle Aged Risk Assessment Venous Thrombosis C-Reactive Protein Fibrinogen Venous Thromboembolism Multiple Myeloma von Willebrand Factor Factor VIII
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