A5048125143- Mathematical Biology Tumor Growth
- Gene Regulatory Network Analysis
- Cancer Cells and Metastasis
- Glioma Diagnosis and Treatment
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Microtubule and mitosis dynamics
- Autonomous Vehicle Technology and Safety
- Photorefractive and Nonlinear Optics
- 3D Printing in Biomedical Research
- Cell Image Analysis Techniques
- Video Surveillance and Tracking Methods
- Advanced Memory and Neural Computing
- Cellular Mechanics and Interactions
- AI in cancer detection
- Photoacoustic and Ultrasonic Imaging
- Action Observation and Synchronization
- Cultural Heritage Materials Analysis
- Optical Coatings and Gratings
- Spectroscopy Techniques in Biomedical and Chemical Research
- Optical Imaging and Spectroscopy Techniques
- Machine Learning in Bioinformatics
Foundation for Research and Technology Hellas
2015-2025
FORTH Institute of Electronic Structure and Laser
1998-2021
University of Crete
2008-2021
FORTH Institute of Computer Science
2002-2015
Forthnet (Greece)
2006
Abstract Adjuvant Temozolomide is considered the front-line Glioblastoma chemotherapeutic treatment; yet not all patients respond. Latest trends in clinical trials usually refer to Doxorubicin; it can lead severe side-effects if administered high doses. While prognosis remains poor, little known about combination of two chemotherapeutics. Patient-derived spheroids were generated and treated with a range Temozolomide/Doxorubicin concentrations either as monotherapy or combination. Optical...
The massive amount of human biological, imaging, and clinical data produced by multiple diverse sources necessitates integrative modeling approaches able to summarize all this information into answers specific questions. In paper, we present a hypermodeling scheme combine models cancer aspects regardless their underlying method or scale. Describing tissue-scale cell proliferation, biomechanical tumor growth, nutrient transport, genomic-scale aberrant metabolism, cell-signaling pathways that...
The application of accurate cancer predictive algorithms validated with experimental data is a field concerning both basic researchers and clinicians, especially regarding highly aggressive form cancer, such as Glioblastoma. In an aim to enhance prediction accuracy in realistic patient-specific environments, accounting for inter- intratumoral heterogeneity, we use patient-derived Glioblastoma cells from different patients. We focus on cell proliferation using vitro experiments estimate...
Metabolic interactions involve the exchange of metabolic products among microbial species. Most microbes live in communities and usually rely on to increase their supply for nutrients better exploit a given environment. Constraint-based models have successfully analyzed cellular metabolism described genotype-phenotype relations. However, there are only few studies genome-scale multi-species interactions. Based approaches, we present graph-theoretic approach together with model order explore...
The regulation policies implemented, the characteristics of vaccines, and evolution virus continue to play a significant role in progression SARS-CoV-2 pandemic. Numerous research articles have proposed using mathematical models predict outcomes different scenarios, with aim improving awareness informing policy-making. In this work, we propose an expansion classical SEIR epidemiological model that is designed fit complex data COVID-19. includes compartments for vaccinated, asymptomatic,...
Abstract Glioblastoma cells adopt migration strategies to invade into the brain parenchyma ranging from individual collective mechanisms, whose role and dynamics are not yet fully understood. In this work, we explore heterogeneity recapitulate its invasive patterns both in vitro , by utilizing primary along with U87MG cell line, silico adopting discrete, cell-based mathematics. cultured three-dimensionally an ECM-like substrate. The spheroids a novel cohesive pattern, mimicking perivascular...
The massive amount of human biological, imaging and clinical data produced by multiple diverse sources, necessitates integrative modeling approaches able to summarize all this information into answers specific questions. In paper, we present a hypermodeling scheme combine models cancer aspects regardless their underlying method or scale. Describing tissue-scale cell proliferation, biomechanical tumor growth, nutrient transport, genomic-scale aberrant metabolism, signaling pathways that...
Modeling tumor growth has proven a very challenging problem, mainly due to the fact that tumors are highly complex systems involve dynamic interactions spanning multiple scales both in time and space. The desire describe various given rise modeling approaches use continuous discrete variables, known as hybrid approaches. This work refers model on 2D square lattice focusing cell movement dynamics they play an important role morphology, invasion metastasis considered indicators for stage of...
Significant Virtual Physiological Human efforts and projects have been concerned with cancer modeling, especially in the European Commission Seventh Framework research program, ambitious goal to approach personalized simulation based on patient-specific data thereby optimize therapy decisions clinical setting. However, building realistic silicopredictive models targeting practice requires interactive, synergetic approaches integrate currently fragmented emanating from systems biology...
Tumor is characterized by extensive heterogeneity with respect to its microenvironment and genetic composition. We extend a previously developed monoclonal continuous spatial model of tumor growth account for polyclonal cell populations investigate the interplay between more proliferative invasive phenotype under different conditions. The simulations demonstrate transition from dominance resembling malignant progression show time period where both subpopulations are abundant. As dominant...
Tumours are complex, dynamic and adaptive biological systems characterized by high heterogeneity at genetic, epigenetic, phenotypic, as well tissue-micro-environmental level. In this work, utilizing cellular automata methods, we focus on intrinsic with respect to cell-cycle duration explore whether what extent affects cancer cell growth dynamics, when cytotoxic treatment is applied. We assume that acts cells specifically during mitosis compare it a (cell-cycle non-specific) randomly...
Anti-cancer therapy efficacy in solid tumors mainly depends on drug transportation through the vasculature system and extracellular matrix, diffusion gradients clonal heterogeneity within tumor mass, as well responses of individual cells to drugs their interactions with each other local microenvironment. In this work, we develop a mathematical predictive model for growth response based 3D spheroids experiments that possess several vivo features are considered better screening. The takes into...
The development of label-free non-destructive techniques to be used as diagnostic tools in cancer research is great importance for improving the quality life millions patients. Previous studies have demonstrated that Third Harmonic Generation (THG) imaging could differentiate malignant from benign unlabeled human breast biopsies and distinguish different grades cancer. Towards application such technologies clinic, present report, a deep learning technique was applied THG images recorded...
Glioblastoma multiforme is the most aggressive type of glioma and common malignant primary intra-axial brain tumor. In an effort to predict evolution disease optimize therapeutical decisions, several models have been proposed for simulating growth pattern glioma. One latest incorporates cell proliferation invasion, angiogenic net rates, oxygen consumption, vasculature. These factors, particularly oxygenation levels, are considered fundamental factors tumor heterogeneity compartmentalization....
Glioblastoma is the most malignant brain tumor among adults. Despite multimodality treatment, it remains incurable, mainly because of its extensive heterogeneity and infiltration in parenchyma. Recent evidence indicates dysregulation expression Promyelocytic Leukemia Protein (PML) primary samples. PML implicated various ways cancer biology. In brain, participates physiological migration neural progenitor cells, which have been hypothesized to serve as cell origin Glioblastoma. The role...
Advances in machine vision techniques have led to algorithms and integrated systems that can be applied transportation engineering improve surveillance control. Despite these advances, certain problems the effective integration of machine-vision based at complex intersections freeway sections still remain. These are related increasing system performance identification, analysis, detection traffic state real time. This work examines feasibility providing transformed visual input existing...
Cancer cells inefficiently produce energy through glycolysis even in ample oxygen, a phenomenon known as "aerobic glycolysis". A characteristic of the rapid and incomplete catabolism glucose is secretion lactate. Genome-scale metabolic models have been recently employed to describe glycolytic phenotype highly proliferating human cancer cells. genotype-phenotype relations revealing full extent capabilities genotypes under various environmental conditions. The importance these approaches...
During the last decades, especially via EU initiative related to Virtual Physiological Human, significant progress has been made in advancing "in-silico" computational models produce accurate and reliable tumor growth simulations. However, currently most attempts validate outcome of are either done in-vitro or ex-vivo after resection. In this work, we incorporate information provided by fluorescence molecular tomography performed in-vivo into a mathematical model that describes growth. The...
1. Silantyev AS, Falzone L, Libra M, et al. Current and future trends on diagnosis prognosis of glioblastoma: from molecular biology to proteomics. Cells. 2019;8(8):863. doi:10.3390/cells8080863. CrossRef Google Scholar