Positive impulsive control of tumor therapy—a cyber-medical approach
Chemotherapy optimization based on mathematical models is a promising direction of
personalized medicine. Personalizing, thus optimizing treatments, may have multiple …
personalized medicine. Personalizing, thus optimizing treatments, may have multiple …
Experimental data-driven tumor modeling for chemotherapy
Mathematical models of tumor growth in response to chemotherapy are crucial for therapy
optimization and outcome. We create a relatively simple tumor growth model describing the …
optimization and outcome. We create a relatively simple tumor growth model describing the …
Experimental Closed‐Loop Control of Breast Cancer in Mice
Cancer therapy optimization is an issue that can be solved using the control engineering
approach. An optimal therapy generation algorithm is presented and tested using a tractable …
approach. An optimal therapy generation algorithm is presented and tested using a tractable …
In silico chemotherapy optimization with genetic algorithm
The combination of medicine with engineering has great potential. The currently used
chemotherapy treatments usually use maximal tolerable doses, which can lead to harmful …
chemotherapy treatments usually use maximal tolerable doses, which can lead to harmful …
Indirect supervised fine-tuning of a tumor model parameter estimator neural network
Personalized therapy based on mathematical foundations is a promising method for treating
various types of cancer. By identifying the parameters of mathematical equations, we could …
various types of cancer. By identifying the parameters of mathematical equations, we could …
State and parameter estimation of a mathematical carcinoma model under chemotherapeutic treatment
One challenging aspect of therapy optimization and application of control algorithms in the
field of tumor growth modeling is the limited number of measurable physiological signals …
field of tumor growth modeling is the limited number of measurable physiological signals …
Comparison of artificial neural network and anfis for parameter estimation of a tumor model
Cyber-medical systems are revolutionizing medicine. Mathematical therapy optimization is
one of the main pioneering results of cyber-medical system approach. Mathematical therapy …
one of the main pioneering results of cyber-medical system approach. Mathematical therapy …
Model predictive fuzzy control in chemotherapy optimization
Nowadays clinical therapies in chemotherapy sessions are generalized for patients,
therefore we are working to provide a personalized drug plan to help reduce the drug …
therefore we are working to provide a personalized drug plan to help reduce the drug …
Tumor model parameter estimation for therapy optimization using artificial neural networks
M Puskás, DA Drexler - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Therapy optimization and personalization in cancer treatment requires reliable mathematical
models. A key issue in personalization is the identification of the model parameters. We …
models. A key issue in personalization is the identification of the model parameters. We …
Parameter estimation from realistic experiment scenario using artificial neural networks
One of the promising directions in future medicine is the optimization of therapies based on
mathematical and engi-neering methods, with which the treatment can be personalized. In …
mathematical and engi-neering methods, with which the treatment can be personalized. In …