The 4th World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2020) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding computational biology and bioinformatics.
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 Sjogrens 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 lucocorticoid 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 Alzheimers
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 Alzheimers 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 Parkinsons 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 Parkinsons disease in
clinical practice: Data- driven biomarkers and pharmacological treatment.-
25-Emerging Machine Learning techniques for modelling cellular complex
systems in Alzheimers 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 theGLUT1 expression.
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.
