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_posts/2025-05-14-biodynamo-cart-simulation.md

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@@ -29,7 +29,7 @@ of microenvironmental factors like hypoxia, regulatory T-cells, and immunosuppre
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This project represents an exciting opportunity to apply my dual academic background in mathematics and computer engineering to a highly impactful domain: cancer immunotherapy.
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My interest in oncology and CAR-T treatments deepened significantly after attending a course on Mathematical Modeling and Data Analysis in Oncology, taught by researchers from the Mathematical Oncology Laboratory" ([MôLAB](https://www.researchgate.net/lab/Mathematical-Oncology-Laboratory-MoLAB-Victor-M-Perez-Garcia)) team at the University of Cádiz. During this course, I was introduced to the fundamentals of immunotherapy and CAR-T cell dynamics, and became fascinated by the potential of mathematical and computational tools to contribute to this area.
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My interest in oncology and CAR-T treatments deepened significantly after attending a course on Mathematical Modeling and Data Analysis in Oncology, taught by researchers from the Mathematical Oncology Laboratory" ([MôLAB](https://molab.es/)) team at the University of Cádiz. During this course, I was introduced to the fundamentals of immunotherapy and CAR-T cell dynamics, and became fascinated by the potential of mathematical and computational tools to contribute to this area.
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I believe that building a scalable, open-source simulation of CAR-T therapy can become a valuable resource for scientists and clinicians worldwide, helping them to better understand and optimize treatment strategies considering the complex landscape of solid tumors.
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