Toni Lassila/Loop
Feb 1, 2026, 09:56
Toni Lassila on Computational Models for Predicting Thrombus Formation
Toni Lassila, Lecturer in Computer Science at University of Leeds, shared on LinkedIn:
”Research highlight: validating computational models for predicting thrombus formation in brain aneurysms”
Researchers created a simplified model of blood clot formation that is practical for patient-specific simulations and medical device testing.
The model reduces the complexity of traditional thrombus models while retaining key biological mechanisms.
Their study specifically investigated the threshold conditions that trigger clot formation in simulated environments.
Read the full post here.

Stay updated with Hemostasis Today.
-
Mar 18, 2026, 16:34Richard Buka: Exploring the COBRRA Trial in the Latest Episode of Don’t Just Read the Abstract
-
Mar 18, 2026, 16:22Heghine Khachatryan: Navigating the New Era of Hemophilia Gene Therapy
-
Mar 18, 2026, 16:21Georges Chahoud: Top Take-Home Messages from the AHA/ACC/Multisociety Acute PE Guideline
-
Mar 18, 2026, 16:19Cedric Hermans: Unleashing the Potential of Physical Activity in Hemophilia A Patients
-
Mar 18, 2026, 16:17Asif Mushtaq: Managing Cardiac Surgery with Cardiopulmonary Bypass in Hemophilia
-
Mar 18, 2026, 16:15Amir Kraitzer: Engineering Hemocompatible Surfaces to Overcome Thrombosis in Medical Devices
-
Mar 18, 2026, 16:11Hemant Sharma: Advancing Neonatal Care with New Strategies to Prevent IVH
-
Mar 18, 2026, 16:09Yves Bikorimana: How a Simple Temperature Change Can Trigger Antibody-Mediated Destruction of RBCs
-
Mar 18, 2026, 16:07Scott Isaacs: Optimizing Brain Vitality and Slowing Neurodegeneration Through Daily Habits