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.
-
Aug 26, 2026, 16:53Chokri Ben Lamine: Antiphospholipid Syndrome After Kidney Transplantation
-
Aug 26, 2026, 16:32Kai Rejeski: Why TP53 Mutations May Define a Higher-Risk CAR-T Population
-
Aug 26, 2026, 16:20Ons Marsit: Impact of Electroanatomical Mapping on Pentaspline Pulsed Field Ablation
-
Aug 26, 2026, 16:18Sam Mbunya: Celebrating Cyrus Njuguna Githinji’s New Leadership Role in Haemophilia Care
-
Aug 26, 2026, 15:48Melissa Hollo: Postpartum Depression is More Than the “Baby Blues”
-
Aug 26, 2026, 15:46Raghavendra Rao: The Link Between Neuropathy and Chronic Venous Disease
-
Aug 26, 2026, 15:43Laurent Bertoletti: Long Term Benefits and Safety of Rehabilitation in Pulmonary Arterial Hypertension
-
Aug 26, 2026, 15:41Tamer Hellou: Chromosome 1q Gain Signals High Long-Term Risk in AL Amyloidosis
-
Aug 26, 2026, 15:04Sequential Efgartigimod and Eltrombopag Achieve Durable Response in Refractory ITP – Platelets Journal