Emmanuel J Favaloro: New Publication on Artificial Intelligence in Thrombosis and Hemostasis in CCLM
Emmanuel J Favaloro, Editor in Chief at Seminars in Thrombosis and Hemostasis, shared a post on LinkedIn about a recent article he and his colleagues co-authored, adding:
“Just published in an issue of Clinical Chemistry and Laboratory Medicine (CCLM).
Ably led by one of my PhD students, Mohammad A. Altememi.
Artificial intelligence and machine learning in thrombosis and hemostasis.
You may consider asking one of the authors for a copy.”
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 the Full Article on De Gruyter Brill

Other articles featuring Emmanuel J Favaloro on Hemostasis Today.
-
Oct 20, 2026, 04:13Ifeanyichukwu Ifechidere: DOACs Are Not the Answer to Every Anticoagulation Question
-
Oct 20, 2026, 04:04Sadia Kamal: Honored to Receive the Outstanding Abstract Award at the 20th Midwest Platelet Conference
-
Oct 20, 2026, 04:03Yu-Hsuan Chen: One Antibody, Two Diseases from FcRn Biology to Clinical Translation
-
Oct 20, 2026, 03:49Domenico Simone Castiello: Rethinking Prolonged DAPT in Multivessel PCI – Insights from the DAPT-MVD Trial
-
Oct 20, 2026, 03:37Rucha Patil: Scaling POC Diagnostics for Haemophilia A and VWD Across India
-
Oct 20, 2026, 03:31Zena Vexler: Targeting Neutrophil Elastase and NETosis to Mitigate Infection-Triggered Childhood Stroke
-
Oct 20, 2026, 03:24Chaza Alaji: Diagnosing Protein C and Protein S Deficiency
-
Oct 20, 2026, 03:24Mou Nandi: How Maternal Health During Pregnancy May Shape Infant Development
-
Oct 20, 2026, 03:13Sumyea Kabir: Pre-Analytical Quality in Phlebotomy – Preventing In Vitro Hemolysis