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Tamed Cancer SIGNED

Personalized Cancer Therapy by Model-based Optimal Robust Control Algorithm

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Tamed Cancer" data sheet

The following table provides information about the project.

Coordinator
OBUDAI EGYETEM 

Organization address
address: BECSI UT 96 B
city: BUDAPEST
postcode: 1034
website: www.uni-obuda.hu

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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.

# participants  country  role  EC contrib. [€] 
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
List of publications.
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 ⁎ ⁎This 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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