GeNeDis 2022

Computational Biology and Bioinformatics
1. Auflage 2023
ISBN: 978-3-031-31981-5
Verlag: Springer International Publishing

Buch, Englisch, 315 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 823 g

Reihe: Advances in Experimental Medicine and Biology

The 5 World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2022) 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.

Zielgruppe

Research

Autoren/Hrsg.

Vlamos, Panagiotis

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

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

Über Autor(innen)

Professor Panagiotis Vlamos is the Chairman of the University Research Centre and Director of the Bioinformatics and Human Electrophysiology Laboratory (BiHELab) of the Ionian University. His main research interests are Mathematical Modelling, Bioinformatics and Computational Neuroscience.