Georgios S Stamatakos

Georgios S Stamatakos
National Technical University of Athens | NTUA · School of Electrical and Computer Engineering

PhD, MSc, Dip(MSc)Eng
Research Prof & Director, In Silico Oncology & In Silico Medicine Group, ICCS, SECE, NTUA. Father of in silico medicine.

About

186
Publications
17,411
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1,910
Citations
Citations since 2016
38 Research Items
685 Citations
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2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120
Introduction
I am dedicated to the shaping, the advancement and the clinical translation of the new scientific and technological discipline of in silico oncology and more broadly in silico medicine. The proposed notion and system of the Onosimulator, aiming at individualized treatment optimization and the conduction of clinical research (e.g clinical trials) in silico via multiscale mechanistic modelling, artificial intelligence, biostatistics and software engineering is the focus of my group's research.
Additional affiliations
July 2019 - present
National Technical University of Athens - School of Electrical and Computer Engineering - Institute of Communication and Computer Systems (In Silico Oncology and In Silico Medicine Group) & Medical School, University of Saarland
Position
  • Professor
February 2016 - present
National Technical University of Athens
Position
  • Professor
October 2014 - present
National Technical University of Athens
Position
  • Teaching of the new postgraduate course (705) MULTISCALE CANCER MODELLING (MSCM) AND IN SILICO MEDICINE
Description
  • GS has formulated the globally first postgraduate course on in silico medicine: "MSCM and In Silico Medicine" http://www.vph-institute.org/news/new-postgraduate-subject-on-multiscale-cancer-modelling-and-in-silico-medicine-mscm-ism.html
Education
September 1991 - February 1997
National Technical University of Athens
Field of study
  • Physics (Theoretical Biophysics)
October 1987 - September 1988
University of Strathclyde
Field of study
  • Bioengineering
October 1981 - March 1987
National Technical University of Athens
Field of study
  • Electrical (and Computer) Engineering

Publications

Publications (186)
Article
Full-text available
The concept of in silica radiation oncology is clarified in this paper. A brief literature review points out the principal domains in which experimental, mathematical, and three-dimensional (3-D) computer simulation models of tumor growth and response to radiation therapy have been developed. Two paradigms of 3-D simulation models developed by our...
Article
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This paper outlines the major components and function of the Technologically Integrated Oncosimulator developed primarily within the ACGT (Advancing Clinico Genomic Trials on Cancer) project. The Oncosimulator is defined as an information technology system simulating in vivo tumor response to therapeutic modalities within the clinical trial context...
Article
Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of dat...
Conference Paper
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Our study uses AI methodologies to explore a retroscpective data set of 200 breast cancer survivors from the the Davidoff Center at Rabin Medical Center, Israel, focusing on two different tasks: A. To identify subgroups of patients regarding their Mental Status, Quality of Life and Functionality, using measurements of indicative psychosocial variab...
Presentation
Full-text available
A brief historical tracing of the global emergence of the new scientific, technological and progressively clinical domain of in silico medicine in Greece is presented.
Article
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Background. Identifying and understanding modifiable factors for the well-being of cancer patients is critical in survivorship research. We studied variables associated with the exercise habits of breast cancer patients and investigated if the achievement of exercise recommendations was associated with enhanced quality of life and/or psychological...
Article
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The role of self-efficacy to cope with breast cancer as a mediator and/or moderator in the relationship of trait resilience to quality of life and psychological symptoms was examined in this study. Data from the BOUNCE Project (https://www.bounce-project.eu/) were used. Women diagnosed with and in treatment for breast cancer (N = 484), from four co...
Article
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We aimed to (a) investigate the interplay between depression, symptoms and level of functioning, and (b) understand the paths through which they influence health related quality of life (QOL) during the first year of rehabilitation period of early breast cancer. A network analysis method was used. The population consisted of 487 women aged 35–68 ye...
Preprint
BACKGROUND Despite the continued progress of medicine, dealing with breast cancer is becoming a major socio-economic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer, but also on the patient's socio-demographic and psychological characte...
Article
Background: Despite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient's sociodemographic and psychological character...
Article
Full-text available
Objective The main objective of this prospective multicenter study was to examine whether illness representations of control, affect, and coping behaviors mediate the effects of self‐efficacy to cope with cancer on psychological symptoms and overall quality of life, in breast cancer patients. Method Data from 413 women (Mean age=54.87; SD=8.01), c...
Article
Full-text available
Background: the aim of this study is to perform an external validation for the Candiolo nomogram, a predictive algorithm of biochemical and clinical recurrences in prostate cancer patients treated by radical Radiotherapy, published in 2016 on the journal "Radiation Oncology". Methods: 561 patients, treated by Radiotherapy with curative intent be...
Presentation
Full-text available
A brief outline of the mission and the research and teaching activities of the In Silico Oncology and In Silico Medicine Group (ISO&ISM_G) , Institute of Communication and Computer Systems (ICCS), School of Electrical and Computer Engineering (SECE), National Technical University of Athens (NTUA) that I direct.
Preprint
Full-text available
Background the aim of this study is to perform an external validation for the Candiolo nomogram, a predictive algorithm of biochemical and clinical recurrences in prostate cancer patients treated by radical Radiotherapy, published in 2016 on the journal “Radiation Oncology”. Methods 561 patients, treated by Radiotherapy with curative intent between...
Conference Paper
Full-text available
The practical goal of this work is to develop a “bottomup” multiscale (tri-scale) mathematical model of glioma growth, invasion and survival of cells following radiation that would serve as the core of the “Continuous Mathematics Based GBM Oncosimulator.”. It is an extension of the model for untreated glioma growth, described in previous papers to...
Article
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Following publication of the original article [1], the authors noticed that the following errors were introduced by pdf/html formatting issues.
Article
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Background: Contemporary biological observations have revealed a large variety of mechanisms acting during the expansion of a tumor. However, there are still many qualitative and quantitative aspects of the phenomenon that remain largely unknown. In this context, mathematical and computational modeling appears as an invaluable tool providing the m...
Article
Background/aim: The need for more effective treatment modalities that can improve the clinical outcome of patients with glioblastoma multiforme remains imperative. Dendritic cell vaccination is a fast-developing treatment modality, currently under exploration. Functional immune cell subpopulations may play a role in the final outcome. Materials a...
Article
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Apart from offering insight into the biomechanisms involved in cancer, many recent mathematical modeling efforts aspire to the ultimate goal of clinical translation, wherein models are designed to be used in the future as clinical decision support systems in the patient-individualized context. Most significant challenges are the integration of mult...
Conference Paper
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Development, clinical adaptation and partial clinical validation of multiscale cancer hypermodels developed by different modelling groups were three of the major tasks of the recently completed large scale EU-US research project CHIC on in silico oncology. The main goal of the project, of which the outcome was rated as “excellent” by the European C...
Conference Paper
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Introduction - Medicine is undergoing a paradigm shift from phenotyping to genotyping. In parallel system approaches to disease, new computational and mathematical tools, modelling and visualization technologies together with heterogeneous data from clinical and basic science are able to path the way to precision and predictive medicine
Conference Paper
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We are very pleased to introduce the proceedings of the Virtual Physiological Human Conference (VPH2018), which collect the abstracts of all the presentations involved in the Conference. The Conference held its 5th meeting in Zaragoza, Spain, during September 5-7th, 2018. This scientific conference focused on "VPH for InSilico Medicine", dealing wi...
Article
Efficient use of Virtual Physiological Human (VPH)-type models for personalized treatment response prediction purposes requires a precise model parameterization. In the case where the available personalized data are not sufficient to fully determine the parameter values, an appropriate prediction task may be followed. This study, a hybrid combinati...
Article
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Glioblastoma remains a clinical challenge in spite of years of extensive research. Novel approaches are needed in order to integrate the existing knowledge. This is the potential role of mathematical oncology. This paper reviews mathematical models on glioblastoma from the clinical doctor’s point of view, with focus on 3D modeling approaches of rad...
Article
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DC-vaccination integrated in multimodal temozolomid-based treatment for patients with GBM prolong OS in a fraction of patients. Biomarkers predicting outcome after active specific immunotherapy, however, fail. Blood samples from 134 adults, randomized for DC-vaccination during or after TMZ maintenance (TMZm), were taken before and after radiochemot...
Chapter
Glioblastoma (GB) implies a devastating prognosis with an average survival of 14–16 months using the current standard of care treatment [1]. GB is the most frequent malignant tumour originating from the brain parenchyma, and it is characterised by a marked intratumoural heterogeneity, proneness to infiltrate throughout the brain parenchyma, robust...
Article
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A novel explicit triscale reaction-diffusion numerical model of glioblastoma multiforme tumor growth is presented. The model incorporates the handling of Neumann boundary conditions imposed by the cranium and takes into account both the inhomogeneous nature of human brain and the complexity of the skull geometry. The finite-difference time-domain m...
Article
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The plethora of available disease prediction models and the ongoing process of their application into clinical practice – following their clinical validation – have created new needs regarding their efficient handling and exploitation. Consolidation of software implementations, descriptive information, and supportive tools in a single place, offeri...
Preprint
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During the last decades, medical observations and multiscale data concerning tumor growth are mounting. At the same time, contemporary imaging techniques well established in clinical practice, provide a variety of information on real-time, in-vivo tumor growth. Mathematical and in-silico modeling has been widely recruited to provide means for furth...
Conference Paper
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The large scale integrating Euro-American research project CHIC (“Computational Horizons in Cancer: Developing Meta- and Hyper-Multiscale Models and Respositories for In Silico Oncology”) [1] which is funded by the European Commission aims at developing an efficient and robust scientific and technological framework able to support the development o...
Article
Full-text available
The 5-year survival of non-small cell lung cancer patients can be as low as 1% in advanced stages. For patients with resectable disease, the successful choice of preoperative chemotherapy is critical to eliminate micrometastasis and improve operability. In silico experimentations can suggest the optimal treatment protocol for each patient based on...
Article
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Background: The adoption in oncology of Clinical Decision Support (CDS) may help clinical users to efficiently deal with the high complexity of the domain, lead to improved patient outcomes, and reduce the current knowledge gap between clinical research and practice. While significant effort has been invested in the implementation of CDS, the upta...
Article
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Background Antiangiogenic agents have been recently added to the oncological armamentarium with bevacizumab probably being the most popular representative in current clinical practice. The elucidation of the mode of action of these agents is a prerequisite for personalized prediction of antiangiogenic treatment response and selection of patients wh...
Article
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As in many cancer types, the G1/S restriction point (RP) is deregulated in Acute Lymphoblastic Leukemia (ALL). Hyper-phosphorylated retinoblastoma protein (hyper-pRb) is found in high levels in ALL cells. Nevertheless, the ALL lymphocyte proliferation rate for the average patient is surprisingly low compared to its normal counterpart of the same ma...
Article
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Intensive glioma tumor infitration into the surrounding normal brain tissues is one of the most critical causes of glioma treatment failure.To quantitatively understand and mathematically simulate this phenomenon, several diffsion-based mathematical models have appeared in the literature.The majority of them ignore the anisotropic character of diff...
Conference Paper
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Over the previous years, semantic metadata have largely contributed to the management, exchange and querying of health-related data, including mathematical and computational disease simulation model descriptions, implementations and output results. In this paper, we present a proposal for an abstract semantic metadata infrastructure layout, indicat...
Conference Paper
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The goal of this article is to present basic scientific principles and core algorithms of the simulation module of the CERvical cancer ONCOsimulator (CERONCO) developed within the context of the DrTherapat project (FP7-ICT-600852). CERONCO simulates the response of cervical tumours to radiotherapy treatment (external beam radiotherapy followed by b...
Conference Paper
A couple of multiscale spatiotemporal simulation models of glioblastoma multiforme (GBM) growth and invasion into the surrounding normal brain tissue is presented. Both models are based on a continuous and subsequently finite mathematical approach centered around the non-linear partial differential equation of diffusion-reaction referring to glioma...
Conference Paper
Full-text available
This paper briefly outlines the aim, the objectives, the architecture and the main building blocks of the ongoing large scale integrating transatlantic research project CHIC (http://chic-vph.eu/).
Conference Paper
The aim of this paper is to present the development of a multi-scale and multiphysics approach to tumor growth. An existing biomodel used for clinical tumor growth and response to treatment has been coupled with a biomechanical model. The macroscopic mechanical model is used to provide directions of least pressure in the tissue, which drives the ge...
Article
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Significant Virtual Physiological Human (VPH) efforts and projects have been concerned with cancer modeling, especially in the European Commission Seventh Framework research programme, with the ambitious goal to approach personalized cancer simulation based on patient-specific data and thereby optimize therapy decisions in the clinical setting. How...
Article
This paper presents a brief outline of the notion and the system of oncosimulator in conjunction with a high level description of the basics of its core multiscale model simulating clinical tumor response to treatment. The exemplary case of lung cancer preoperatively treated with a combination of chemotherapeutic agents is considered. The core onco...
Article
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This paper discusses the need for interconnecting computational cancer models from different sources and scales within clinically relevant scenarios to increase the accuracy of the models and speed up their clinical adaptation, validation, and eventual translation. We briefly review current interoperability efforts drawing upon our experiences with...
Data
This short VIDEO demonstrates a four dimensional, discrete mathematics based, top-down simulation of tumor response to two radiation therapy scenarios according to the predictions of an in silico model described mainly in the following two publications: 1.G S Stamatakos, V P Antipas, N K Uzunoglu, R G Dale, “A four-dimensional computer simulation...
Conference Paper
Improving the initial diagnosis and the assessment of response to treatment in malignant gliomas, while avoiding invasive methods as much as justifiable, is one major aspect actual research is focusing on. Imaging studies are used to calculate tumor volume and define vital, necrotic and cystic areas within a tumor. Though the visual interpretation...
Conference Paper
Full-text available
I. INTRODUCTION Cancer is a natural phenomenon and consequently is amenable to mathematical and computational description. Clinically driven complex multi-scale cancer models are capable of producing realistic spatio-temporal and patient-specific simulations of commonly-used clinical interventions such as radio-chemotherapy. Clinical data-processi...
Conference Paper
Full-text available
In this paper, a previous continuum approach describing vascular tumor growth under angiogenic signaling is developed and extended via the inclusion of bevacizumab pharmacokinetics. The modeling approach to the problem addressed includes inter alia the building of the model (selection of equations, related assumptions, coupling with a pharmacokinet...
Conference Paper
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The Continuous Mathematics Based Glioblastoma Oncosimulator is a platform for simulating, investigating, better understanding, and exploring the natural phenomenon of glioma tumor growth. Modelling of the diffusive-invasive behaviour of glioma tumour growth may have considerable therapeutic implications. A crucial component of the corresponding com...