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Piermario Vitullo

As seen in: BioRxiv
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Articles

[2512.10792] Physics-Informed Learning of Microvascular Flow Models using Graph Neural Networks

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By Piermario Vitullo, Thomas A Ventimiglia, Andreas Linninger, Paolo Zunino
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Microvascular morphology affects radiotherapy outcomes: a computational study

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By Luca Possenti, Paolo Zunino, Piermario Vitullo, Alessandro Cicchetti
| BioRxiv
Abstract Radiotherapy (RT) is the most common cancer treatment, and hypoxia is one of the main causes of resistance to RT. We investigate how microvascular morphology affects radiation therapy results, exploring the role of the microvasculature. Several computational models have been developed to analyze microvascular oxygen delivery. However, few of these models have been applied to study RT and the microenvironment.
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