1-Digging for Significant Genes in Microarray Expression Data Based on Systematic Sampling and Hierarchal Clustering Algorithm
2-A DSS for predicting Lymphoma in primary Sjogren's Syndrome
patients
3-Decision Support System for Breast Cancer Detection Using
Biomarker Indicators
4-Hepatocellular Carcinoma Detection Using Machine Learning
Techniques
5-Web-based Decision Support System for Coronary Heart Disease
Diagnosis
6-A Decision Support System for the Prediction of Drug
Predisposition through Personality Traits
7-Development of a diagnostic tool for balance disorders based on
machine learning techniques
8-Systems Approaches in the Common Metabolomics in Acute
Lymphoblastic Leukemia and Rhabdomyosarcoma Cells: A
Computational Approach 9-Bioinformatics Analyses of Spatial Peripheral Circadian Clock-
Mediated Gene Expression of Glucocorticoid Receptor-related Genes
10-Machine Learning for Autistic Spectrum Disorder Risk Screening
11-Mobile Application for Monitoring and Preventing Cognitive
Decline through Lifestyle Intervention
12-Virtual Reality Zoo Therapy for Alzheimer's Disease Using Real-time
Gesture Recognition
13-Validation of the Greek Version of Social Media Disorder Scale
14-Adiponectin and its Effects on Acute Leukemia Cells: An Experimental
and Bioinformatics Approach
15-Nature and quantum inspired procedures - a short literature review 16-Handling the cellular complex systems in Alzheimer's disease
through a graph mining approach
17-Debunking the neuromyth of learning style
18-Expert characteristics: implications for expert systems
19-Improving the Run-Time of Space E cient n-gram Data Structures
using Apache Spark
20-Development of a protein biochip platform for Parkinson's
disease
21-The Cultural adaptation of the iSupportDementia in Greece
22-The use of data collection and big data analysis in
Neurodegenerative disease prevention
23-Fractal Dynamics in the RR Interval of Craniopharyngioma
and Adrenal Tumor in Adolescence
24-Bioinformatics approaches for Parkinson's disease in
clinical practice: Data- driven biomarkers and
pharmacological treatment 25-Emerging Machine Learning techniques for modelling
cellular complex systems in Alzheimer's disease
26-Cognitive Enhancement Through Mathematical Problem Solving
27-Cognitive tasks of an information system for memory training and
cognitive enhancement using mobile devices
28-An application for exploring visual perception. A pilot
neuroeducational study
29-Genes Classification Based on Multi Class SVMs with Systematic
Sampling and Hierarchical Clustering (SSHC) Algorithm
30-Multinetwork motor learning as a model for dance in
neurorehabilitation
31-Controlling the chimera form in the Leaky Integrate-and-Fire
model 32-Qualitative differences between the Semi-separable and the
"Almansi type" Stokes stream function expansions in the study of
biological fluids.
33-A multiscale mathematical model for tumor growth, incorporating the
GLUT1 expression
About the Author: Professor Panagiotis Vlamos is the Chairman of the University Research Center of the Ionian University and Director of the Laboratory of Bioinformatics and Human Electrophysiology (BiHELab) of the Ionian University. He completed his undergraduate studies in Mathematics at the University of Athens and obtained his Doctorate in Mathematics from the National Technical University of Athens.
He has received many awards and has authored more than 250 papers in scientific journals and conference proceedings, as well as 16 educational books. BiHELab's goal is to help bridge the translation gap from data to models and from models to drug discovery and personalized therapy, promoting collaborations and developing novel approaches to biological and clinical problems, using high-performance computational methods.
Professor Panagiotis Vlamos is a pioneer at the evaluation, improvement and application of digital and computational biomarkers, while he first introduced the notion of meta-biomarkers.