3D-Printed Blood Vessels & Stroke Research – Australia | Xinhua

by Grace Chen

Australian Researchers 3D print “Artery on a Chip” to Accelerate Stroke Research

A groundbreaking 3D printing technique developed in Australia is enabling scientists to create remarkably accurate replicas of human blood vessels in just two hours,offering a new pathway to understanding and potentially preventing strokes. The innovation promises to revolutionize stroke research and drug growth, while together reducing reliance on animal testing.

Unveiling the “Artery on a Chip”

Engineers at the University of Sydney have created a device dubbed “artery on a chip,” which utilizes 3D printing to construct blood vessels on glass substrates. These miniature vessels faithfully mimic both the anatomical structure and the complex fluid dynamics of blood flow within the human body. This provides an unprecedented tool for investigating the underlying causes of stroke, according to a release from the University on Wednesday.

Did you know? – Stroke is a leading cause of long-term disability, affecting millions globally. Rapid diagnosis and treatment are critical for minimizing brain damage and improving patient outcomes.

Addressing a Critical Gap in Stroke Prediction

Despite advancements in diagnosing cardiovascular diseases, a significant challenge remains: the inability to predict the early events that trigger blood clot formation in carotid arteries. This new technology directly addresses this gap, offering a platform to study these critical processes in a controlled environment.

“We’re not just printing blood vessels — we’re printing hope for millions at risk of stroke worldwide,” stated a PhD candidate from the University of Sydney’s School of Biomedical Engineering. The ultimate goal is to deliver personalized vascular medicine to those in need.

From CT Scans to Miniature Models

The research team leverages CT scans from stroke patients to generate precise, miniature 3D models of carotid arteries. These models are scaled down from a typical size of 5-7 millimeters to just 200-300 micrometers,dramatically reducing manufacturing time from 10 hours to a mere two. This accelerated process allows for rapid prototyping and experimentation.

Pro tip: – 3D bioprinting is a rapidly evolving field with potential applications beyond stroke research, including organ and tissue engineering, and personalized drug testing.

Real-Time Observation of Blood Clot Formation

The technology allows researchers to observe, in real-time and under a microscope, the formation of blood clots and the behavior of platelets – essential components in the clotting process that can lead to stroke. This detailed observation provides invaluable insights into the mechanisms driving clot formation.

The Role of Blood Flow Friction

The study revealed a crucial role for friction and force generated by blood flow against the vessel lining in regulating platelet movement and,consequently,clotting. This phenomenon is especially relevant in conditions like high blood pressure and atherosclerosis, a disease characterized by plaque buildup in the arteries.

The Future: AI-Powered Stroke Prediction

Looking ahead, the researchers plan to integrate artificial intelligence with the biofabric

Here’s a breakdown answering the requested questions:

Why: The research aims to improve stroke prediction, understanding, and treatment by creating accurate replicas of human blood vessels. It also seeks to reduce reliance on animal testing.

Who: Researchers at the University of Sydney, specifically engineers and a PhD candidate from the School of biomedical Engineering, developed the “artery on a chip” technology.Stroke patients provided CT scans used in the modeling process.

What: The innovation is a 3D-printed “artery on a chip” – a miniature replica of human carotid arteries created from patient CT scans. It allows for real-time observation of blood clot formation and platelet behavior.

How did it end? The research is ongoing. The team is currently working on integrating artificial intelligence to enhance stroke prediction capabilities. The current stage involves successful creation and observation using the 3D printed models.

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