A5020990494- EEG and Brain-Computer Interfaces
- Mathematical Biology Tumor Growth
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Cancer Cells and Metastasis
- Gene Regulatory Network Analysis
- Glioma Diagnosis and Treatment
- Medical Image Segmentation Techniques
- MRI in cancer diagnosis
- Advanced Mathematical Modeling in Engineering
- Blind Source Separation Techniques
- Scientific Computing and Data Management
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Neuroscience and Neural Engineering
- Cell Image Analysis Techniques
- Cancer Genomics and Diagnostics
- Computational Drug Discovery Methods
- Gaze Tracking and Assistive Technology
- IoT and Edge/Fog Computing
- AI in cancer detection
- Advanced Neuroimaging Techniques and Applications
- Optical Imaging and Spectroscopy Techniques
- Context-Aware Activity Recognition Systems
- Neural Networks and Applications
Foundation for Research and Technology Hellas
2016-2025
Czech Academy of Sciences, Institute of Computer Science
2010-2024
FORTH Institute of Computer Science
2007-2022
FORTH Institute of Electronic Structure and Laser
2009-2022
University of Crete
2004-2022
Foundation for Biomedical Research
2021
Institute of Molecular Biology and Biotechnology
2018
Science and Technology Park of Crete
2011-2015
Hella (Germany)
2015
Technical University of Crete
2006-2011
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...
A major challenge related to caring for patients with chronic conditions is the early detection of exacerbations disease. Medical personnel should be contacted immediately in order intervene time before an acute state reached, ensuring patient safety. This paper proposes approach ambient intelligence (AmI) framework supporting real-time remote monitoring diagnosed congestive heart failure (CHF). Its novelty integration of: (i) personalized health status and risk stage; (ii) intelligent...
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...
Medically oriented Brain Computer Interfaces (BCIs) have been proposed as a promising approach addressed to individuals suffering from severe paralysis. Steady-State Visual Evoked Potentials (SSVEPs) in particular proven successful many different applications, achieving high information throughput with short or even no training. However, efficient electric wheelchair navigation combining accuracy and comfort is still not demonstrated. In this paper, we propose the use of an SSVEP-based...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Epilepsy is one of the most common brain disorders and may result in dysfunction cognitive disturbances. Epileptic seizures usually begin childhood without being accommodated by damage are tolerated drugs that produce no dysfunction. In this study, function evaluated children with mild epileptic controlled antiepileptic drugs. Under prism, we propose a concise technical framework combining...
The advancements in healthcare practice have brought to the fore need for flexible access health-related information and created an ever-growing demand design development of data management infrastructures translational personalized medicine. In this paper, we present solution implemented MyHealthAvatar EU research project, a project that attempts create digital representation patient's health status. platform is capable aggregating several knowledge sources relevant provision individualized...
Due to the advent of novel technologies and digital opportunities allowing simplify user lives, healthcare is increasingly evolving towards digitalization. This represent a great opportunity on one side but it also exposes organizations multiple threats (both not) that may lead an attacker compromise security medial processes potentially patients' safety. Today technical cybersecurity countermeasures are used protect confidentiality, integrity availability data information systems -...
This work aims to provide information, guidelines, established practices and standards, an extensive evaluation on new promising technologies for the implementation of a secure information sharing platform health-related data. We focus strictly technical aspects specifically health studying innovative techniques within health-care domain, we describe our solution evaluate use blockchain methodologically integrating implementation. To do so, analyze concept PANACEA project that facilitates...
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,...
QRS detection performance can depend on the type of noise present in each lead involved overall processing. A common approach to is based a enhanced signal obtained from derivatives pre-filtered leads. However, pre-filtering cannot be able perform complete rejection and use enhance as well. In many cases occurs only one addition noisy decreases performances detector. For this reason estimation channel, providing information for channel inclusion or building signal, improve The results have...
The challenge of modelling cancer presents a major opportunity to improve our ability reduce mortality from malignant neoplasms, treatments and meet the demands associated with individualization care needs. This is central motivation behind ContraCancrum project. By developing integrated multi-scale models, expected contribute advancement in silico oncology through optimization treatment patient-individualized context by simulating response various therapeutic regimens. aim present paper...
This paper presents the implementation of a smart environment that employs Ambient Intelligence technologies in order to augment typical hospital room with features assist both patients and medical staff. In this various wireless wired sensor have been integrated, allowing patient control interact facilities, while clinically oriented interface allows for vital sign monitoring. The developed applications are presented from patient’s doctor’s perspective, offering different services depending...
This study investigates the discrimination between calm, exciting positive and negative emotional states using EEG signals. Towards this direction, a publicly available dataset from eNTERFACE Workshop 2006 was used having as stimuli emotionally evocative images. At first, features were extracted based on literature review. Then, computational framework is proposed machine learning techniques, performing feature selection classification into two at time states. The procedure described in...
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...