Overview

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.

Full Product Details

Author:   Panayiotis Vlamos
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   1338
Weight:   0.588kg
ISBN:  

9783030787776

ISBN 10:   303078777
Pages:   288
Publication Date:   21 December 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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  

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Author Information

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.

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