A novel numerical and artificial intelligence based approach to study anti-angiogenic drugs: endostatin
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Publication:2109887
DOI10.1016/j.apm.2021.12.033zbMath1505.92061OpenAlexW4206812377MaRDI QIDQ2109887
Publication date: 21 December 2022
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2021.12.033
Artificial neural networks and deep learning (68T07) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)
Cites Work
- Numerical simulation of the inhibitory effect of angiostatin on metastatic tumor angiogenesis and microenvironment
- Numerical simulation of inhibiting effects on solid tumour cells in anti-angiogenic therapy: application of coupled mathematical model of angiogenesis with tumour growth
- Simulation of tumor microvasculature and microenvironment response to anti-angiogenic treatment by angiostatin and endostatin
- A new mathematical model for optimizing the combination between antiangiogenic and cytotoxic drugs in oncology
- Initiation of slime mold aggregation viewed as an instability
- Continuous and discrete mathematical models of tumor-induced angiogenesis
- Mathematical biology. Vol. 1: An introduction.
- A pharmacologically based multiscale mathematical model of angiogenesis and its use in investigating the efficacy of a new cancer treatment strategy
- Mathematical modelling of dynamic adaptive tumour-induced angiogenesis: clinical implications and therapeutic targeting strategies
- Mathematical modelling of the influence of blood rheological properties upon adaptative tu\-mour-induced angiogenesis
- Mathematical Modelling of Tumour Invasion and Metastasis
- A gradient-driven mathematical model of antiangiogenesis
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