We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App

Faster, More Accurate Blood Flow Simulation to Revolutionize Treatment of Vascular Diseases

By HospiMedica International staff writers
Posted on 22 Feb 2024
Print article
Image: Vascular flow modeling exemplar; intracranial aneurysm flow, treatment and thrombosis (Photo courtesy of University of Leeds)
Image: Vascular flow modeling exemplar; intracranial aneurysm flow, treatment and thrombosis (Photo courtesy of University of Leeds)

The field of vascular flow modeling is vital for understanding and treating vascular diseases, but traditionally, these methods require extensive labor and computation. Now, researchers have made groundbreaking advancements in the simulation of blood flow within the complex vascular system. These advancements offer the potential to revolutionize medical treatments and the development of devices for vascular diseases.

The research team, led by The University of Manchester (Manchester, UK), evaluated cutting-edge techniques that make the simulation process faster but still maintain the required accuracy for such important applications. They discovered that Reduced Order Modeling (ROM), which simplifies computational complexity, can be selectively applied to accurately hasten different types of vascular flow modeling. Additionally, they found that Machine Learning could address limitations in ROM or even introduce completely new simulation methods applicable to a broad range of vascular flow modeling challenges. These developments could be transformative for the field of vascular medicine.

Moreover, this research underscores the importance of these accelerated simulation methods for in-silico trials. These virtual simulations are crucial in developing and gaining regulatory approval for new medical devices. By employing these accelerated techniques, in-silico trials can be carried out with a level of speed and precision previously unattainable, potentially eliminating the need for traditional clinical trials, which are often costly and time-consuming. The research also calls for a collective effort to create a benchmarking framework for simulation acceleration methods. Such a framework would provide standardized metrics to measure accuracy and efficiency across different simulation techniques, fostering transparency and comparability in this rapidly evolving area.

“The potential ramifications are immense - from the development of enhanced medical devices that can be custom-fitted to individual patient anatomy, to providing real-time insights during surgical procedures, advancements in these techniques could improve patient outcomes and the standard of care,” said Professor Alex Frangi, Bicentennial Turing Chair in Computational Medicine.

Related Links:
The University of Manchester 

Gold Member
Solid State Kv/Dose Multi-Sensor
Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Silver Member
Compact 14-Day Uninterrupted Holter ECG
Glassware Washer
Tiva 10-1VL

Print article


Surgical Techniques

view channel
Image: The endoscopic device can 3D image the stiffness of individual biological cells and complex organisms (Photo courtesy of University of Nottingham)

World’s First Microscopic Probe to Revolutionize Early Cancer Diagnosis

In the early stages of cancer, the cells are significantly softer than normal cells, which facilitates their movement through small spaces and contributes to the rapid spread of the disease, a process... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.