What is it about?
This research is a part of our ongoing work on using tiny bubbles called extracellular vesicles (EVs) for cancer diagnosis and treatment. We've created a mathematical model to understand how blood vessels in tumors interact with cancer cells and healthy cells. We built this in silico model on using COMSOL Multiphysics. We have taken into account all the boundary conditions to see how blood vessels, tumor tissue, and healthy tissue all interact with each other.
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Why is it important?
Our project offers an innovative way to detect very small tumors, which can't be seen well with regular medical imaging modalities. We found that the speed at which EVs enter the bloodstream depends a lot on how big the tumor is. This is because these particles diffuse differently in healthy and tumor tissues.
Perspectives
We think this research could be useful for creating special biosensors that can be put inside the body to keep an eye on how the tumor is changing over time. These biosensors could use the behavior of EVs to tell us what's happening with the tumor, helping with early detection and monitoring.
Martin Damrath
Norwegian University of Science and Technology
Read the Original
This page is a summary of: In Silico Model for Tumor Diagnosis based on Bloodstream Penetrating Extracellular Vesicles, September 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3576781.3608719.
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