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Tamed Cancer

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Personalized Cancer Therapy by Model based Optimal Robust Control Algorithm

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... ver más

31/10/2021

OBUDA UNIVERSITY U...

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

OBUDAI EGYETEM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 3 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-10-31

ERC-StG-2015: ERC Starting Grant Scope:Objectives

I+D

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

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3 Participantes

OBUDA UNIVERSITY UNIVERSITAS...

917.93K€ | Lider

SDAE (SOCIEDAD DIGITAL DE AU...

862.02K€ | Participante

SEMMELWEIS UNIVERSITY

97.98K€ | Participante

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Duración del proyecto: 64 meses Fecha Inicio: 2016-06-16
Fecha Fin: 2021-10-31

Líder del proyecto

OBUDAI EGYETEM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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