A machine learning approach in a monocentric cohort for predicting primary refractory disease in Diffuse Large B-cell lymphoma patients.

Introduction: Primary refractory disease affects 30-40% of patients diagnosed with DLBCL and is a significant challenge in disease management due to its poor prognosis. Predicting refractory status could greatly inform treatment strategies, enabling early intervention. Various options are now available based on patient and disease characteristics.

Emicizumab in acquired haemophilia A: about two clinical cases and literature review.

Acquired haemophilia A (AHA) is a rare and severe haemorrhagic autoimmune disease caused by autoantibodies directed against factor VIII (FVIII). Treatment is based on two principles, including haemostatic control to compensate FVIII inhibition and eradication of inhibiting antibodies using immunosuppressive therapy. Rapid recognition and proper management are essential to avoid excess morbidity and mortality.