Maha Othman: Delighted to See Our Article Receive The Eberhard F. Mammen Most Popular Article Award 2026
Maha Othman, Editor-in-Chief of Current Opinion in Hematology, Co-Chairman SSC on Disseminated Intravascular Coagulopathy at ISTH, shared on LinkedIn about a recent article she and her colleagues co-authored, adding:
”Delighted to see our article ‘Machine Learning as a Diagnostic and Prognostic Tool for Predicting Thrombosis in Cancer Patients: A Systematic Review’, receive the Eberhard F. Mammen Most Popular Article Award (2026) in the ‘Free-to-Download’ category from Seminars in Thrombosis and Hemostasis.
I’m especially proud of my outstanding mentees.
Adham El-Sherbini, who led this work together with Ali Zidan and Stefania Coroneos – all were still undergraduate students HSCI program – Queen’s University at the time!
Their dedication and collaboration made this project possible.
Many thanks to Emmanuel J Favaloro and the team at Thieme Group for their continued efforts to expand access to freely available scientific content and support knowledge dissemination in thrombosis and hemostasis.
You can read the full editorial by Dr. Favaloro.”
Title: Machine Learning as a Diagnostic and Prognostic Tool for Predicting Thrombosis in Cancer Patients: A Systematic Review
Authors: Adham H. El-Sherbini, Stefania Coroneos, Ali Zidan, Maha Othman
Read the Full Article on Seminars in Thrombosis and Hemostasis
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