Mohammad Altememi: Artificial Intelligence and Machine Learning in Thrombosis and Hemostasis
Mohammad Altememi, Acting Senior Scientist at NSW Health Pathology, shared an article on LinkedIn:
“Happy to share this publication on AI-ML in Thrombosis and Haemostasis.
This paper highlights the current limitations of AI and ML applications in T and H, while outlining key requirements and future directions needed to advance this rapidly evolving field.
A big thank you to my supervisory team
Prof. Emmanuel Favaloro, Prof. Abishek, Santhakumar and Prof. Md Zahidul, Islam.
Truely leaders in the field, for their contribution guidance,support and mentorship!
Hopefully the first of many publications to come.”
Title: Artificial intelligence and machine learning in thrombosis and hemostasis: a scoping review of clinical and laboratory applications, challenges, and future directions
Authors: Mohammad A. Altememi, Emmanuel J. Favaloro, Md Zahid Islam and Abishek. B. Santhakumar
Read full article here.
Get the latest insights with Hemostasis Today.
-
Apr 12, 2026, 17:34Caitlin Raymond: Granulocyte Transfusions for the Overworked Fellow
-
Apr 12, 2026, 17:33Augustina Isioma Ikusemoro: ABO Typing Is Not the Same in Infants and Adults
-
Apr 12, 2026, 17:32Bastu Odoka: Same Blood Group Does Not Guarantee Compatibility
-
Apr 12, 2026, 17:31Jack Hadfield: SARS-CoV-2–Associated Lasting Mitochondrial Injury in Cardiomyocytes
-
Apr 12, 2026, 17:30Flora Peyvandi: ABB Milan Presentations During the ISTH 2026
-
Apr 12, 2026, 17:01Hafiz Saad Ullah: Introducing to Fully Automatic Peripheral Blood Smear Stainer
-
Apr 12, 2026, 16:53Najmul Hasan Forhad: A Simple Framework for Mastering Anticoagulant Therapy
-
Apr 12, 2026, 16:36Piotr Czempik: Patient Blood Management Means Safer Care, Better Quality, and Responsible Resource Use
-
Apr 12, 2026, 16:31Eishi Asano: Available Evidence and Unmet Needs in EEG Use During Stroke Management