Showing results (1-10 of 8) with videos related to
Sort By:
Pageof 1
Annals of Internal Medicine|August 4, 2025
In adults with active cancer and VTE, extended reduced-dose apixaban was noninferior to full-dose apixaban for VTE recurrence at 1 yVasiliki Danilatou, Thrombosis and Haemostasis|April 4, 2024
Machine Learning-Based Predictive Models for Patients with Venous Thromboembolism: A Systematic ReviewVasiliki Danilatou, Dimitrios Dimopoulos, Theodoros Kostoulas, et al.Health Information Science and Systems|August 3, 2026
ToxicFreeMed: BERT-enhanced BPR algorithm for toxic-free medication recommendationStavros Davidopoulos, Panagiotis Symeonidis, Christos Andras, et al.BMC Bioinformatics|February 10, 2009
Outcome prediction based on microarray analysis: a critical perspective on methodsMichalis Zervakis, Michalis E Blazadonakis, Georgia Tsiliki, et al.The Archives of Bone and Joint Surgery|July 9, 2025
Anti-PF4/ Heparin Antibodies Early Seroconversion in Hip Fracture Patients Receiving Low Molecular Weight Heparin Prophylaxis: a Pilot Study of 100 Consecutive PatientsMarkos Psifis, Christos Koutserimpas, Ioannis Stavrakakis, et al.Pediatric Blood & Cancer|November 18, 2004
Prevalence of Factor V Leiden and other thrombophilic traits among Cretan children with malignancyEftichia Stiakaki, Ioannis Germanakis, Caterina Sfyridaki, et al.Seminars in Thrombosis and Hemostasis|July 29, 2025
Transfusion-Dependent Thalassemia and Venous Thromboembolism Management: Position Statement from the Steering Committees of Hemostasis and Erythrocyte and Hemoglobinopathies Study Groups-Hellenic Society of HaematologyVasiliki Danilatou, Emmanouil Papadakis, Elias Kyriakou, et al.International Journal of Molecular Sciences|July 9, 2022
Outcome Prediction in Critically-Ill Patients with Venous Thromboembolism and/or Cancer Using Machine Learning Algorithms: External Validation and Comparison with Scoring SystemsVasiliki Danilatou, Stylianos Nikolakakis, Despoina Antonakaki, et al.Pageof 1