Výsledky vyhledávání - "Mathematical oncology"

Akademický článek

Mathematical Modeling of Cancer Progression

Autor: Tahmineh Azizi

Publikováno v: AppliedMath, Vol 4, Iss 3, Pp 1065-1079 (2024)

Cancer, a complex disease characterized by uncontrolled cell growth and metastasis, remains a formidable challenge to global health. Mathematical modeling has emerged as a critical tool to elucidate the underlying biological mechanisms driving tumor

Externí odkaz: https://doaj.org/article/99c093ebbdd14b0883a758da9cfac3b5

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Akademický článek

A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin

Autor: Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, David A. Hormuth II, Sophia Ty, Amy Brock, Thomas E. Yankeelov

Publikováno v: Cancer Biology & Therapy, Vol 25, Iss 1 (2024)

Tumor heterogeneity contributes significantly to chemoresistance, a leading cause of treatment failure. To better personalize therapies, it is essential to develop tools capable of identifying and predicting intra- and inter-tumor heterogeneities. Bi

Externí odkaz: https://doaj.org/article/0e280a58802b47fcb80eb711f4c69ab3

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Akademický článek

Quantifying the impact of metronomic chemotherapy chemo-switch regimen and the sequencing of chemotherapy and radiotherapy on pancreatic ductal adenocarcinoma treatment

Autor: Wang, Xu ^a, Chen, Xi ^b, Zhu, Jinhui ^b, Li, Sheng ^{a, ⁎}

Publikováno v: In Journal of Theoretical Biology 21 February 2025 599

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Akademický článek

Mathematical model of MMC chemotherapy for non-invasive bladder cancer treatment

Autor: Marom Yosef, Svetlana Bunimovich-Mendrazitsky

Publikováno v: Frontiers in Oncology, Vol 14 (2024)

Mitomycin-C (MMC) chemotherapy is a well-established anti-cancer treatment for non-muscle-invasive bladder cancer (NMIBC). However, despite comprehensive biological research, the complete mechanism of action and an ideal regimen of MMC have not been

Externí odkaz: https://doaj.org/article/1501ca445c834c37a35b724d7ee9a1b3

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Akademický článek

An adaptive information-theoretic experimental design procedure for high-to-low fidelity calibration of prostate cancer models

Autor: Heyrim Cho, Allison L. Lewis, Kathleen M. Storey, Anna C. Zittle

Publikováno v: Mathematical Biosciences and Engineering, Vol 20, Iss 10, Pp 17986-18017 (2023)

The use of mathematical models to make predictions about tumor growth and response to treatment has become increasingly prevalent in the clinical setting. The level of complexity within these models ranges broadly, and the calibration of more complex

Externí odkaz: https://doaj.org/article/199c43dff50e464490068ca330bc31ef

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Akademický článek

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas

Autor: Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox

Publikováno v: Frontiers in Artificial Intelligence, Vol 6 (2023)

We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipatory personalized treatment that accounts for uncertainties in the und

Externí odkaz: https://doaj.org/article/0033dc2ccbbf4cf4b2bfb36a88972137

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