A5002406655- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- Parkinson's Disease Mechanisms and Treatments
- Alzheimer's disease research and treatments
- Single-cell and spatial transcriptomics
- Dementia and Cognitive Impairment Research
- Gene Regulatory Network Analysis
- Neurological disorders and treatments
- Amyotrophic Lateral Sclerosis Research
- Microbial Metabolic Engineering and Bioproduction
- Neural Networks and Applications
- Protein Structure and Dynamics
- Gene expression and cancer classification
- Health, Environment, Cognitive Aging
- Neuroscience, Education and Cognitive Function
- Mitochondrial Function and Pathology
- Endoplasmic Reticulum Stress and Disease
- Image and Signal Denoising Methods
- Neuroinflammation and Neurodegeneration Mechanisms
- Advanced Chemical Sensor Technologies
- Online and Blended Learning
- Functional Brain Connectivity Studies
- Machine Learning in Healthcare
- Teaching and Learning Programming
- Genetics, Bioinformatics, and Biomedical Research
Ionian University
2016-2025
Research Academic Computer Technology Institute
2009
Aristotle University of Thessaloniki
2009
Hellenic Open University
2001-2007
National Technical University of Athens
1998-2001
Technical University of Denmark
2000
University of Aveiro
2000
This study examines the clinical decision support systems in healthcare, particular about prevention, diagnosis and treatment of respiratory diseases, such as Asthma chronic obstructive pulmonary disease. The empirical pulmonology a representative sample (n = 132) attempts to identify major factors that contribute these diseases. Machine learning results show disease’s case, Random Forest classifier outperforms other techniques with 97.7 per cent precision, while most prominent attributes...
Since December 2019, the coronavirus disease has significantly affected millions of people. Given effect this on pulmonary systems humans, there is a need for chest radiographic imaging (CXR) monitoring and preventing further deaths. Several studies have been shown that Deep Learning models can achieve promising results COVID-19 diagnosis towards CXR perspective. In study, five deep learning were analyzed evaluated with aim identifying from X-ray images. The scope study to highlight...
This article investigates the uses and gratifications of popular social networking site Facebook. In exploratory stage, 70 users generated phrases to describe manner they used Interestingly, some not only described uses, but also mentioned how perceive these uses. These were coded into 14 items clustered four factors. The principal component analysis that was conducted in third stage study, which addressed 222 Facebook users, verified validity factors: Social Connection, Network Surfing,...
Research investigating treatments and interventions for cognitive decline fail due to difficulties in accurately recognizing behavioral signatures the presymptomatic stages of disease. For this validation study, we took our previously constructed digital biomarker-based prognostic models focused on generalizability robustness models.We validated characterizing subjects using biomarkers a longitudinal, multi-site, 40-month prospective study collecting data memory clinics, general practitioner...
Data-driven analysis and characterization of molecular phenotypes comprises an efficient way to decipher complex disease mechanisms. Using emerging next generation sequencing technologies, important disease-relevant outcomes are extracted, offering the potential for precision diagnosis therapeutics in progressive disorders. Single-cell RNA (scRNA-seq) allows inherent heterogeneity between individual cellular environments be exploited provides one most promising platforms quantifying...
Abstract Educational webcasts have enhanced the value of training procedures in institutions and business organizations. In this study, variables from Unified Theory Acceptance Use Technology, Social Cognitive Planed Behavior were chosen as important predictors e‐Learning tools acceptance. This hybrid framework aims to verify effect selected key on webcast Moreover, experience learners' intention adopt is explored, well moderating relationships between webcasts. Responses 248 webcast‐based...
Analysis of blood-based indicators brain health could provide an understanding early disease mechanisms and pinpoint possible intervention strategies. By examining lipid profiles in extracellular vesicles (EVs), secreted particles from all cells, including astrocytes neurons, circulating clinical samples, important insights regarding the brain’s composition can be gained. Herein, a targeted lipidomic analysis was carried out EVs derived plasma samples after removal lipoproteins individuals...
The pilot phase of the Greek Interventional Geriatric Initiative to Prevent Cognitive Impairment and Disability (GINGER) aims assess feasibility a multi-level dementia risk reduction intervention in individuals with subjective cognitive decline (SCD) over six-month period. study design incorporates comprehensive set trans-disciplinary assessments interventions multiple centers across Greece. Individuals 55 years or older complaints who do not fulfill criteria for either mild impairment are...
Parkinson’s disease (PD) is a progressive neurodegenerative disorder associated with dysfunction of dopaminergic neurons in the brain, lack dopamine and formation abnormal Lewy body protein particles. PD an idiopathic nervous system, characterized by motor nonmotor manifestations without discrete onset symptoms until substantial loss has already occurred, enabling early diagnosis very challenging. Sensor-based platforms have gained much attention clinical practice screening various...
Abstract The B cell receptor immunoglobulin (Ig) gene repertoires of marginal zone (MZ) lymphoproliferations were analyzed in order to obtain insight into their ontogenetic relationships. Our cohort included cases with MZ lymphomas ( n = 488), i.e. splenic (SMZL), nodal (NMZL) and extranodal (ENMZL), as well provisional entities 76), according the WHO classification. most striking Ig repertoire skewing was observed SMZL. However, restrictions also identified all other studied, particularly...
Alzheimer’s disease (AD) represents one of the most important healthcare challenges current century, characterized as an expanding, “silent pandemic”. Recent studies suggest that peripheral immune system may participate in AD development; however, molecular components these cells remain poorly understood. Although single-cell RNA sequencing (scRNA-seq) offers a sufficient exploration various biological processes at cellular level, number existing works is limited, and no comprehensive...
OPINION article Front. Comput. Neurosci., 05 January 2024 Volume 17 - 2023 | https://doi.org/10.3389/fncom.2023.1323182
Abstract Educational webcasts are nowadays widely used by many organizations and institutions all over the world. However, educational effectiveness of when as an autonomous method is yet to be explored. In this paper, clarification certain issues concerning their attempted. Following specific instructions, webcast was developed, then a between group evaluation experiment conducted. The compared traditional learning webcast. A total 66 gymnasium (middle school) students were placed in two...
In this paper we describe the design and implementation of SquareAR, an Augmented Reality authoring application which enables virtual restoration public, unexploited, spaces in cities. The aim is to involve local residents into decision making process that affects their everyday life intuitive user friendly manner. We also evaluate discuss potential extensions applications different contexts.
In recent years, online laboratories have become highly integrated into the educational process due to development of distance learning tools as well pandemic. As part a master's degree program in bioinformatics and neuroinformatics, academic years 2020-2021 2021-2022, mandatory module "Laboratory Education (LE)" included 9 labs special session took place online. For evaluation LE survey was carried out among participants on issues satisfaction with each lab, knowledge they acquired,...
Mild Cognitive Impairment (MCI) is a cognitive state frequently observed in older adults, characterized by significant alterations memory, thinking, and reasoning abilities that extend beyond typical decline. It worth noting around 10–15% of individuals with MCI are projected to develop Alzheimer’s disease, effectively positioning as an early stage Alzheimer’s. In this study, novel approach presented involving the utilization eXtreme Gradient Boosting predict onset disease during stage. The...