Tamed Cancer SIGNED
Personalized Cancer Therapy by Model-based Optimal Robust Control Algorithm
Total Cost €
0EC-Contrib. €
0Partnership
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Project "Tamed Cancer" data sheet
The following table provides information about the project.
| Coordinator |
OBUDAI EGYETEM
Organization address contact info |
| Coordinator Country | Hungary [HU] |
| Project website | http://physcon.uni-obuda.hu/ |
| Total cost | 1˙015˙900 € |
| EC max contribution | 1˙015˙900 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2015-STG |
| Funding Scheme | ERC-STG |
| Starting year | 2016 |
| Duration (year-month-day) | from 2016-07-01 to 2021-06-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | OBUDAI EGYETEM | HU (BUDAPEST) | coordinator | 917˙925.00 |
| 2 | SEMMELWEIS EGYETEM | HU (BUDAPEST) | participant | 97˙975.00 |
Map
Project objective
Imagine if tumor growth would be reduced and then kept in a minimal and safe volume in an automated manner and in a personalized way, i.e. cancer drug would be injected using a continuous therapy improving the patient’s quality of life. By control engineering approaches it is possible to create model-based strategies for health problems. Artificial pancreas is an adequate example for this, where by continuous glucose measurement device and insulin pump it is possible to improve diabetes treatment. Gaining expertise from this problem, the current proposal focuses on taming the cancer by developing an engineering-based medical therapy. The interdisciplinary approach focuses on modern robust control algorithm development in order to stop the angiogenesis process (i.e. vascular system development) of the tumor; hence, to stop tumor growth, maintaining it in a minimal, “tamed” form. This breakthrough concept could revitalize cancer treatment. It is the right time to do it as some investigations regarding tumor growth modeling have been already done; now, it should be refined by model identification tools and validated on animal trials. The benefit of robust control was already demonstrated in artificial pancreas; hence, it could be adapted to cancer research. The result could end with a personalized healthcare approach for drug-delivery in cancer, improving quality of life, optimizing drug infusion and minimizing treatment costs. This interdisciplinary approach combines control engineering with mathematics, computer science and medical sciences. As a result, the model-based robust control approach envisage refining the currently existing tumor growth modeling aspects, design an optimal control algorithm and extend it by robust control theory to guarantee its general applicability. Based on our research background, validation will be done first in a manually controlled way, but then in an automatic mode to propose it for further human investigations.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2017 |
Dániel András Drexler, Johanna Sápi, Levente Kovács Modeling of Tumor Growth Incorporating the Effects of Necrosis and the Effect of Bevacizumab published pages: 1-10, ISSN: 1076-2787, DOI: 10.1155/2017/5985031 |
Complexity 2017 | 2019-06-19 |
| 2017 |
Róbert Pethes, Tamás Ferenci, Levente Kovács Infectious Hospital Agents: A HAI Spreading Simulation Framework published pages: 95-110, ISSN: 1785-8860, DOI: 10.12700/APH.14.1.2017.1.7 |
Acta Polytechnica Hungarica 14/1 | 2019-06-19 |
| 2017 |
Johanna Sápi, Dániel András Drexler, Levente Kovács Potential Benefits of Discrete-Time Controller-based Treatments over Protocol-based Cancer Therapies published pages: 11-23, ISSN: 1785-8860, DOI: 10.12700/APH.14.1.2017.1.2 |
Acta Polytechnica Hungarica 14/1 | 2019-06-19 |
| 2017 |
Levente Kovács, Zoltán Sápi, Dániel A. Drexler, Johanna Sápi Taming Cancer: Is it Possible? published pages: 137, ISSN: , DOI: |
BIT\'s 10th Annual World Cancer Congress 2017 | 2019-06-19 |
| 2017 |
Dávid Csercsik, Johanna Sápi, Levente Kovács A bicompartmental dynamic tumor growth model * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681). Dávid Csercsik received funding from the Hungarian National Fund (OTKA NF-104706). published pages: 12216-12221, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.2119 |
IFAC-PapersOnLine 50/1 | 2019-06-19 |
| 2017 |
Tamás Ferenci, Johanna Sápi, Levente Kovács Modelling Tumor Growth under Angiogenesis Inhibition with Mixed-Effects Models published pages: 221-234, ISSN: 1785-8860, DOI: 10.12700/APH.14.1.2017.1.15 |
Acta Polytechnica Hungarica 14/1 | 2019-06-19 |
| 2017 |
Dániel András Drexler, Johanna Sápi, Levente Kovács Optimal discrete time control of antiangiogenic tumor therapy * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681). D.A. Drexler was also supported by a Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Programme, FP7-PEOPLE-2012-IRSES-316338. published pages: 13504-13509, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.2337 |
IFAC-PapersOnLine 50/1 | 2019-06-19 |
| 2017 |
Levente Kovács Linear parameter varying (LPV) based robust control of type-I diabetes driven for real patient data published pages: 199-213, ISSN: 0950-7051, DOI: 10.1016/j.knosys.2017.02.008 |
Knowledge-Based Systems 122 | 2019-06-19 |
| 2017 |
Dániel András Drexler, Johanna Sápi, Levente Kovács Positive nonlinear control of tumor growth using angiogenic inhibition * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681). published pages: 15068-15073, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.2522 |
IFAC-PapersOnLine 50/1 | 2019-06-19 |
| 2017 |
Levente Kovács Cyber-Medical Systems: the Digitalized Healthcare Approach and Its Trends published pages: 1-2, ISSN: , DOI: |
MACRo 2017: 6th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics | 2019-06-19 |
| 2016 |
Miklós Biró, József Klespitz, Johannes Gmeiner, Christa Illibauer, Levente Kovács Towards Automated Traceability Assessment through Augmented Lifecycle Space published pages: 94-105, ISSN: 1865-0929, DOI: 10.1007/978-3-319-44817-6_8 |
COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE 633 | 2019-06-19 |
| 2017 |
Levente Kovács A robust fixed point transformation-based approach for type 1 diabetes control published pages: 2481-2493, ISSN: 0924-090X, DOI: 10.1007/s11071-017-3598-7 |
Nonlinear Dynamics 89/4 | 2019-06-19 |
| 2018 |
Dániel A. Drexler, Johanna Sápi, Levente Kovács H∞ control of nonlinear systems with positive input with application to antiangiogenic therapy published pages: 146-151, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.11.096 |
IFAC-PapersOnLine 51/25 | 2019-03-20 |
| 2018 |
Bence Czakó, Levente Kovács Nonlinear Model Predictive Control Using Robust Fixed Point Transformation-Based Phenomena for Controlling Tumor Growth published pages: 49, ISSN: 2075-1702, DOI: 10.3390/machines6040049 |
Machines 6/4 | 2019-03-13 |
| 2018 |
Bence G. Czakó, Johanna Sápi, Levente Kovács Optimal PID Based Computed Torque Control of Tumor Growth Models ⎠âŽThis project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 679681). B.G. Czak was supported by the UNKP-17-2/I. New National Excellence Program of the Ministry of Human Capacities. published pages: 900-905, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.06.109 |
IFAC-PapersOnLine 51/4 | 2019-03-11 |
| 2018 |
Levente Kovács, György Eigner A TP-LPV-LMI based control for Tumor Growth Inhibition published pages: 155-160, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.11.146 |
IFAC-PapersOnLine 51/26 | 2019-03-11 |
| 2019 |
Dávid Csercsik, Levente Kovács Dynamic Modeling of the Angiogenic Switch and Its Inhibition by Bevacizumab published pages: 1-18, ISSN: 1076-2787, DOI: 10.1155/2019/9079104 |
Complexity 2019 | 2019-03-11 |
| 2018 |
Dániel András Drexler, Ilona Nagy, Valery Romanovski, János Tóth, Levente Kovács Qualitative analysis of a closed-loop model of tumor growth control published pages: 329-334, ISSN: , DOI: |
IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI 2018) | 2019-03-20 |
| 2018 |
Levente Kovács, György Eigner, József K. Tar, Imre Rudas Robust Fixed Point Transformation based Proportional-Derivative Control of Angiogenic Tumor Growth published pages: 894-899, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.06.110 |
IFAC-PapersOnLine 51/4 | 2019-03-18 |
| 2018 |
Levente Kovács, G. Eigner Tensor Product Model Transformation-based Parallel Distributed Control of Tumor Growth published pages: , ISSN: 1785-8860, DOI: 10.12700/aph.15.3.2018.3.7 |
Acta Polytechnica Hungarica 15/3 | 2019-03-11 |
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