depositphotos.com
Nov 16, 2025, 05:08
Hassan Raza: Machine Learning for Predicting Thrombotic Recurrence in Antiphospholipid Syndrome
Hassan Raza, Consultant Hematologist and Transfusion Medicine in Lahore, posted on LinkedIn:
“Application of Machine Learning Models to Predict Thrombotic Recurrence in Antiphospholipid Syndrome”
Title: Machine learning for predicting thrombotic recurrence in antiphospholipid syndrome
Authors: Ana Marco-Rico, Ihosvany Fernández-Bello, Jorge Mateo-Sotos, Pascual Marco-Vera
Read full article here.
Stay informed with Hemostasis Today.
-
Apr 11, 2026, 13:51David McIntosh: Vital Plasma Derived Medicines – The Anomalous UK Scene
-
Apr 11, 2026, 13:47Samrawit Terefe: O Negative Blood Is the Universal Donor With Extreme Scarcity
-
Apr 11, 2026, 13:39Dheeraj Garg: Rethinking Cardiovascular Disease – A Cardiologist’s Perspective
-
Apr 11, 2026, 13:37Kushal Bhatia: Is The 4.5-Hour Thrombolysis Window Officially Outdated?
-
Apr 11, 2026, 13:35William Aird: Why Did Mammalian Red Blood Cells Give Up Their Nucleus?
-
Apr 11, 2026, 13:30Ken Kuang: Gravity Is Constant, But Your Vein Health Doesn’t Have to Be
-
Apr 11, 2026, 13:21Mascha Kern: Measuring Gender’s Role in Stroke and Migraine
-
Apr 11, 2026, 13:10Danique Steeghs: Key Findings from a Microfluidic Chemiluminescent Thrombin Generation Assay
-
Apr 11, 2026, 13:06Shanvi Mahi: A Validated Tool to Explore Lived Experiences After Stroke Rehabilitation