Bioinformatics and Biomedical Engineering: 8th International Work-Conference, IWBBIO 2020, Granada, Spain, May 6–8, 2020, Proceedings (Lecture Notes in Computer Science Book 12108)

This volume constitutes the proceedings of the 8th International Work-Conference on IWBBIO 2020, held in Granada, Spain, in May 2020. The total of 73papers presented in the proceedings, was carefully reviewed and selected from 241 submissions. The papers are organized in topical sections as follows: Biomarker Identification; Biomedical Engineering; Biomedical Signal Analysis; Bio-Nanotechnology; Computational Approaches for Drug Design and Personalized Medicine; Computational Proteomics and Protein-Protein Interactions; Data Mining from UV/VIS/NIR Imaging and Spectrophotometry; E-Health Technology, Services and Applications; Evolving Towards Digital Twins in Healthcare (EDITH); High Performance in Bioinformatics; High-Throughput Genomics: Bioinformatic Tools and Medical Applications; Machine Learning in Bioinformatics; Medical Image Processing; Simulation and Visualization of Biological Systems. -- Provided by publisher Preface Organization Contents Biomarker Identification Identification of Coding Regions in Prokaryotic DNA Sequences Using Bayesian Classification Abstract 1 Introduction 2 The Proposed Gene Detection Algorithm 2.1 Mathematical Description 3 Simulation Results and Analysis 4 Conclusions References Identification of Common Gene Signatures in Microarray and RNA-Sequencing Data Using Network-Based Regularization 1 Introduction 1.1 Background 2 Methodology 2.1 Data Sources 2.2 Data Preparation and Preprocessing 2.3 Data Integration 2.4 Sparse Logistic Regression 2.5 Learning Process 2.6 Differential Gene Expression Analysis 2.7 Survival Analysis 3 Results and Discussion 4 Conclusions References Blood Plasma Trophic Growth Factors Predict the Outcome in Patients with Acute Ischemic Stroke 1 Introduction 1.1 BDNF 1.2 VEGF 2 Materials and Methods 2.1 Sampling 2.2 Data Analysis 3 Results 3.1 Cluster 1 3.2 Cluster 2 3.3 Clusters 3 and 4 4 Discussion and Conclusion References Analyzing the Immune Response of Neoepitopes for Personalized Vaccine Design Abstract 1 Introduction 2 Methodology 3 Results 4 Discussion Acknowledgements References A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability Abstract 1 Introduction 2 Materials and Methods 2.1 Generating the Gene-Gene Interaction Network 2.2 Searching for an Optimally-Dense Subnet for Each Seed Gene 2.3 Evaluating the Predictive Power of a Subnet 2.4 Searching for an Optimal Set of Subnets for Classification by Weighted Voting 3 Results and Discussion 3.1 Classification Performances on CT 3.2 Classification Performance on HT 3.3 Classification Performances on CT_HT 4 Conclusion and Future Work Acknowledgements References Biomedical Engineering Effects of the Distribution in Space of the Velocity-Inlet Condition in Hemodynamic Simulations of the Thoracic Aorta 1 Introduction 2 Problem Definition and Numerical Methodology 3 Deterministic Results: Comparison Between In-vivo Measured Velocity Inlet and Plug Flow 4 Uncertainty Quantification Methodology and Choice of the Distribution of the Uncertain Parameter 5 Analysis of the Stochastic Results 6 Conclusions References Coupled Electro-mechanical Behavior of Microtubules Abstract 1 Introduction 2 Continuum Model with Piezoelectricity 3 Results and Discussion 4 Conclusion Acknowledgments References Comparison of Corneal Morphologic Parameters and High Order Aberrations in Keratoconus and Normal Eyes Abstract 1 Introduction 2 Patients and Methods 2.1 Patients 2.2 Methods 2.3 Statistical Analysis 3 Results 4 Discussion 5 Conclusion Funding References Graph Databases for Contact Analysis in Infections Using Spatial Temporal Models 1 Introduction 2 Related Work 3 Spatial and Temporal Models 4 Case of Use 4.1 Epidemiology Queries 4.2 Implementation and Results 5 Conclusions References Window Functions in Rhythm Based Biometric Authentication Abstract 1 Introduction 2 Short-Time Fourier Transformations 2.1 Window Functions 3 Experiments 3.1 Training Set 3.2 Preprocessing 3.3 Determining Optimal Window Size 3.4 Postprocessing 3.5 Training by One-Class SVM 4 Results 5 Conclusion and Discussion Acknowledgement References Relationships Between Muscular Power and Bone Health Parameters in a Group of Young Lebanese Adults Abstract 1 Introduction 2 Materials and Methods 2.1 Subjects and Study Design 2.2 Anthropometrical Measurements and Body Composition 2.3 Bone Variables 2.4 Physical Performance Variables 2.5 Statistical Analysis 3 Results 3.1 Clinical Characteristics and Bone Data and Physical Performance Variables of the Study Population 3.2 Correlations Between Clinical Characteristics and Bone Data in Men 3.3 Correlations Between Physical Performance Variables and Bone Data in Men 3.4 Correlations Between Clinical Characteristics and Bone Data in Women 3.5 Correlations Between Physical Performance Variables and Bone Data in Women 3.6 Multiple Linear Regression Models in Men 3.7 Multiple Linear Regression Models in Women 4 Discussion 5 Conclusion Conflicts of Interest References Biomedical Signal Analysis Thermal Behavior of Children During American Football Sports Training Abstract 1 Introduction 2 Materials and Methods 2.1 Factors to Consider When Taking Thermographic Images 2.2 Training Plan 2.3 Analysis of Thermographic Images 3 Results 4 Discussion 5 Conclusion Acknowledgements References Positioning Algorithm for Arterial Blood Pressure Pneumatic Sensor 1 Positioning of ABP Pneumatic Sensor 2 MCA Methodology for Estimating the Value of Quasi–periodicity of Biomedical Signal Patterns 2.1 Cohen Class Time-Frequency Representations 2.2 Synthesis of Specialized MCA Representation for Estimating the Value of Quasi–periodicity 2.3 Specialized MCA Representation Improvements for Analysing the ABP Signals 3 Positioning Algorithm for Arterial Blood Pressure Pneumatic Sensor 4 Conclusions References An Approach to Detecting and Eliminating Artifacts from the Sleep EEG Signals Abstract 1 Introduction 2 Sources and Nature of Artifacts 3 Database 4 Detection of Artifacts 4.1 DC Artifacts 4.2 Slow Ondulations Artifacts 4.3 EOG Artifacts 5 Artifact Removal 6 Conclusion References Bio-Nanotechnology New Genomic Information Systems (GenISs): Species Delimitation and IDentification Abstract 1 Introduction 2 GenIS: A New Framework for Indexing Genomic Sequences 3 A Molecular Definition of Biological “Species” and “Genus” 4 Conclusions and Future Work Acknowledgements References Production of 3D-Printed Tympanic Membrane Scaffolds as a Tissue Engineering Application Abstract 1 Introduction 2 Materials and Methods 2.1 Materials 2.2 Preparation of the Solutions 2.3 Design and Fabrication of the 3D Printed Scaffolds 2.4 Characterization of the Physical Properties of Solutions 2.5 Fourier Transform Infrared Spectroscopy (FT-IR) 2.6 Scanning Electron Microscopy (SEM) 2.7 Tensile Properties 2.8 MTT Test and Cell Attachment Analysis 3 Results and Discussion 4 Conclusion Acknowledgments References Controlled Release of Metformin Loaded Polyvinyl Alcohol (PVA) Microbubble/Nanoparticles Using Microfluidic Device for the Treatment of Type 2 Diabetes Mellitus Abstract 1 Introduction 2 Materials and Methods 3 Results and Discussion 4 Conclusions References Patch-Based Technology for Corneal Microbial Keratitis Abstract 1 Introduction 2 Materials and Method 2.1 Materials 2.2 Production of the 13% PVA/0.5% GEL Composites 2.3 Production of the 13% PVA/0.5% GEL/5%Propolis Composites 2.4 Electrospinning Settings 2.5 Characterization of the 13% PVA/0.5% GEL Composites 3 Results and Discussions 3.1 SEM Analysis 3.2 FTIR Spectroscopy 3.3 Antibacterial Activity 4 Conclusions References Computational Approaches for Drug Design and Personalized Medicine MARCO Gene Variations and Their Association with Cardiovascular Diseases Development: An In-Silico Analysis Abstract 1 Introduction 2 Materials and Methods 2.1 Dataset for Genomic Analysis 2.2 SNPs Detection and Protein Sequence Extraction for Functional Analysis 2.3 Selection and Analysis of the Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) 2.4 Proteins’ 3D Structure Modeling 3 Results 3.1 nsSNPs Retrieval 3.2 Computational Analysis of the Deleterious nsSNPs 3.3 Homology Modeling 4 Discussion 5 Conclusion Acknowledgement References Computational Approaches for Drug Design: A Focus on Drug Repurposing 1 Introduction 2 Current Challenges in Drug Development 3 Computational Approaches to Drug Design 4 Drug Repurposing 4.1 Transcription Signatures-Based Approaches 4.2 Text Mining-Based Approaches 4.3 Network-Based Approaches 4.4 Integrative Approaches 5 Bioinformatics and the Future of Medicine References Computational Proteomics and Protein-Protein Interactions Comorbidity Network Analyses of Global Rheumatoid Arthritis and Type 2 Diabetes Reveal IL2 & IL6 as Common Role Players Abstract 1 Introduction 2 Materials and Methods 2.1 Collection of Susceptibility Genes 2.2 Construction of Protein-Protein Interaction Network (Interactomes) 2.3 Centrality Measure Analysis 2.4 Pathway Analysis of Implicated Genes 3 Results 3.1 Interactome Construction from Lists of Susceptibility Genes 3.2 Centrality and Pathway Analysis 4 Discussion 5 Conclusion Contributions References Variant Analysis from Bacterial Isolates Affirms DnaK Crucial for Multidrug Resistance Abstract 1 Introduction 2 Methods and Materials 2.1 Data Collection 2.1.1 Protein and Gene Sequences 2.1.2 Bacterial Sequences from Infected Patients 2.1.3 Reference Genomes Protein Interaction Datasets 2.2 Network Analyses 2.3 Phylogenetic Tree Reconstruction 2.4 Next Generation Sequencing Data Analysis 2.5 Candidate Protein and Ligand Docking 3 Results 3.1 Phylogenetic Analysis 3.2 Network Analyses 3.3 Genomic Polymorphism 3.4 Docking Analysis 4 Discussion 5 Conclusion References Topological Analysis of Cancer Protein Subnetwork in Deubiquitinase (DUB) Interactome Abstract 1 Introduction 2 Methods 2.1 Construction of DUB Interactome 2.2 Extraction of Cancer Protein Subnetwork from DUB Interactome 2.3 Networks Analysis 3 Result and Discussion 3.1 Datasets 3.2 The DUB Interactome 3.3 Cancer Protein Subnetwork 3.4 Cancer Protein Subnetwork has Weaker Clustering Coefficient, Lower Betweenness Centrality and Higher Closeness Centrality 3.5 Comparison with Randomized Network 4 Conclusions and Future Perspectives Acknowledgement References Graph Based Automatic Protein Function Annotation Improved by Semantic Similarity 1 Introduction 2 Method 2.1 Function Annotation Using GrAPFI 2.2 Pruning Prediction Set Using Functional Similarity Score 2.3 Aggregation of Scores 3 Experiments and Result Analysis 3.1 Datasets 3.2 Result Analysis 4 Conclusion References Data Mining from UV/VIS/NIR Imaging and Spectrophotometry Cancer Detection Based on Image Classification by Using Convolution Neural Network Abstract 1 Introduction 1.1 General Overview 1.2 Motivation 1.3 Importance 2 The Problem 3 Materials and Methods 3.1 Input Data 3.2 How Convolutional Network Works 4 Solution to the Main Problem 5 Conclusion and Future Work Acknowledgment References Steps to Visible Aquaphotomics 1 Introduction 2 Absorption Spectra of Liquid Water in VIS-NIR Region. Aquaphotomics Approach 3 Extension of Aquaphotomics Approach to the Visible Range and Preliminary Results 4 Experimental Setup 5 Results and Discussion 6 Conclusion References Automatic Calibration, Acquisition, and Analysis for Color Experiments 1 Introduction 2 Setup 2.1 Lights 2.2 Control and Sensors 2.3 Camera 3 Methods 3.1 White Balance 3.2 Brightness and Contrast 3.3 Analysis 4 Results and Discussion 5 Conclusion References Classification of Fish Species Using Silhouettes 1 Introduction 2 Experimental Setup 3 Methods 3.1 Linear Separability 3.2 Modification of Discrimination Function 4 Results and Discussion 4.1 Classifier Training According to Discrimination Function 4.2 Classifier Testing 5 Conclusion References E-Health Technology, Services and Applications Spa-neg: An Approach for Negation Detection in Clinical Text Written in Spanish 1 Introduction 2 Related Works 2.1 Negation Detection in Clinical Text Written in Spanish 3 Exploratory Data Analysis of the Negation 3.1 Datasets 3.2 Results from Dataset 1 3.3 Results from Dataset 2 4 Proposal for Negation Detection in Clinical Texts 4.1 Negation Indicators 4.2 Negation Detection Component 4.3 Scope Calculation 5 Experiments and Validation 6 Conclusions and Future Work References In-Bed Posture Classification from Pressure Mat Sensors for the Prevention of Pressure Ulcers Using Convolutional Neural Networks 1 Introduction 1.1 Related Works 2 Methodology 2.1 Limited Dataset from Pressure Mat Sensors 2.2 Fuzzy Processing of Pressure Mat Sensor Data 2.3 Data Augmentation 2.4 Design of the Convolutional Neural Network 3 Results 3.1 Dataset Description 3.2 Dataset Pre-processing: Fuzzy Visual Representation and Data Augmentation 3.3 Evaluation of Convolutional Neural Networks 4 Conclusions and Ongoing Works References Pin-Code Authentication by Local Proximity Based Touchstroke Classifier Abstract 1 Introduction 2 System Design 2.1 Coordinates in Training Session 2.2 Distance Estimation 2.3 Proximity Evaluation 3 Experimental Results 3.1 Testing Phase 3.2 Visualization 4 Conclusion and Discussion Acknowledgement References Behavioral Risk Factors Based Cancer Prediction Model Utilizing Public and Personal Health Records Abstract 1 Introduction 2 Background 3 Related Work 4 Methods 5 Descriptive Statistical Analyses 6 Adjusted Binary and Multinomial Logistic Regression Findings 7 Improving Health Information Exchange and Connecting Analysis Results to Personal Health Applications 8 Conclusion References IoMT-Driven eHealth: A Technological Innovation Proposal Based on Smart Speakers Abstract 1 Introduction 2 Materials and Methods 3 Results 3.1 Architecture of Our Technological Proposal 3.2 Communication Flow 4 Discussion 5 Conclusions and Future Works Acknowledgments References Evolving Towards Digital Twins in Healthcare (EDITH) Epileptic Seizure Detection Using a Neuromorphic-Compatible Deep Spiking Neural Network 1 Introduction 2 Methods 3 Results and Discussions References Anonymizing Personal Images Using Generative Adversarial Networks 1 Introduction 2 Generative Adversarial Networks 3 Available Databases 3.1 Fingerprints Database 3.2 Iris Database 4 GAN-based Anonymization System 5 Testing the GAN-Based Anomymization Systems 5.1 Fingerprints Dataset 5.2 Iris Dataset 6 Conclusions and Further Research References Generating Fake Data Using GANs for Anonymizing Healthcare Data 1 Introduction 2 Problem Definition 3 Fake Static Data Generation 3.1 Data Standardization 3.2 Data Arrangement 3.3 Model, Training and Results 3.4 Discussion 4 Fake Dynamic Data Generation 4.1 Data Standardization 4.2 Data Arrangement 4.3 Model, Training and Results 4.4 Discussion 5 Conclusions and Further Research References A Proposal to Evolving Towards Digital Twins in Healthcare 1 Introduction 2 Our Proposal 3 Generative Adversarial Networks on Sensitive Health Data 4 Digital Twins in Healthcare 5 Decision Support System 6 Discussion and Conclusion References High Performance in Bioinformatics Role of Homeobox Genes in the Development of Pinus Sylvestris 1 Introduction 2 Materials and Methods 2.1 RNA-seq Source 2.2 Pre-processing of Sequences and de novo Transcriptome Assembly 2.3 Selection of Homeobox-Containing Transcripts 2.4 Differential Expression Analysis and Functional Annotation 3 Results and Discussion References Function vs. Taxonomy: Further Reading from Fungal Mitochondrial ATP Synthases 1 Introduction 1.1 Clustering Techniques 2 Results 2.1 Taxonomy vs. Function: The Case of a Single Gene 3 Discussion References Discovering the Most Characteristic Motif from a Set of Peak Sequences 1 Introduction 2 Methods 3 Results 3.1 The Use Case 3.2 Use Case Results 4 Discussion and Conclusions References An Overview of Search and Match Algorithms Complexity and Performance 1 Introduction 2 Related Work 3 Algorithms Analysis 3.1 Hamming Distance 3.2 Levenshtein Distance 3.3 Damerau–Levenshtein 3.4 Needleman Wunsch Algorithm 3.5 Smith Waterman Algorithm 3.6 Knuth Morris Pratt Algorithm 3.7 Boyer Moore Algorithm 3.8 Brute Force 3.9 Rabin Karp Algorithm 3.10 Aho-Corasick Algorithm 3.11 CommentZ Walter Algorithm 3.12 Jaro and Jaro–Winkler 4 Comparison Study 5 Conclusions and Future Work References Highly Parallel Convolution Method to Compare DNA Sequences with Enforced In/Del and Mutation Tolerance 1 Introduction 2 Core Idea 3 Preliminary Results 3.1 Random Sequences 3.2 Random Sequences with Common Substrings 3.3 Sequences of Different Length 3.4 In"026E30F Del Detection 4 Discussion 4.1 Noise and Shorter Fragments Detection 4.2 Localization 4.3 Strong Imbalance in Compared Sequences 4.4 Parallelism and Visualization References A Mini Review on Parallel Processing of Brain Magnetic Resonance Imaging Abstract 1 Introduction 2 Overview of Parallel Processing 3 Methodology: Literature Matrix 4 Conclusion and Discussion Acknowledgement References Watershed Segmentation for Peak Picking in Mass Spectrometry Data 1 Introduction 2 Experiment Processing 3 ROIs 4 Segmentation 5 Peak Picking 6 Discussion 7 Conclusion References High-Throughput Genomics: Bioinformatic Tools and Medical Applications LuxHS: DNA Methylation Analysis with Spatially Varying Correlation Structure 1 Introduction 2 Methods 2.1 Model 2.2 Fitting the Model Parameters with Stan and Testing Differential Methylation 3 Results 3.1 Real Bisulfite Sequencing Data 3.2 Simulated Data 4 Discussion 5 Conclusion References Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery 1 Introduction 2 Data 3 Discriminative Meta-Features Discovery Methodology 4 Results and Discussion 4.1 Pattern Mining-Based Biclustering 4.2 Biclustering-Based Classification 4.3 Class Association Rule Mining 5 Conclusions References Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS 1 Introduction 2 Data and Methods 2.1 Data 2.2 Temporal Data Preprocessing 2.3 Creating Patient Profiles: Patient Stratification Using Clinical and Patient Profiles 2.4 Learning Specialized Predictive Models: Learning Using Each Patient Profile 3 Results and Discussion 3.1 Creating Clinical and Patient Profiles 3.2 Learning Predictive Models 4 Conclusion References Micro-Variations from RNA-seq Experiments for Non-model Organisms 1 Introduction 2 Materials and Methods 2.1 Sequence Data 2.2 Bioinformatic Analysis 2.3 Functional Annotation 3 Results and Discussion 4 Conclusions References Network-Based Variable Selection for Survival Outcomes in Oncological Data 1 Introduction 2 Survival Analysis 3 Variable Selection Methods 3.1 Classical Regularization Techniques 3.2 Network-Based Regularization 4 Dataset 5 Results 6 Conclusions References Evaluating Basic Next-Generation Sequencing Parameters in Relation to True/False Positivity Findings of Rare Variants in an Isolated Population from the Czech Republic South-Eastern Moravia Region with a High Incidence of Parkinsonism Abstract 1 Introduction 2 Methods 3 Results 4 Discussion 5 Conclusion Acknowledgement References Detection of Highly Variable Genome Fragments in Unmapped Reads of Escherichia coli Genomes 1 Introduction 2 Materials and Methods 2.1 Genome Assembly 2.2 Unmapped Reads Assembly 2.3 BLAST Analysis 2.4 Variable Regions Detection 2.5 Phylogenetic Analysis 2.6 Dataset 3 Results 3.1 Number of Reads 3.2 De novo Assembly 3.3 BLAST Analysis 3.4 Variable Fragments Evaluation 4 Conclusion References Machine Learning in Bioinformatics Clustering Reveals Common Check-Point and Growth Factor Receptor Genes Expressed in Six Different Cancer Types Abstract 1 Introduction 2 Methods and Materials 2.1 Data Collection 2.2 Clustering Analysis 2.3 Functional Annotation of Significant Genes 3 Results 3.1 Clustering Analysis Identified Groups of Patients with Similar Gene Expression Changes 3.2 Identification of Significant Expression Patterns 4 Discussion and Future Scope References Predicting Infectious Diseases by Using Machine Learning Classifiers 1 Introduction 2 Methodology 2.1 Clinical Parameters 2.2 Population 2.3 Data Acquisition and Storage 2.4 Data Storage and Analysis in Remote Servers 3 Machine Learning Approaches 4 Developments 4.1 Data Processing 4.2 Web Service for NB and FC Classifiers 4.3 Influence of the Clinical Parameters on the Classification 5 Conclusions References Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks 1 Introduction 2 Dataset 3 Methods 4 Experimental Results 5 Conclusion References DiS-TSS: An Annotation Agnostic Algorithm for TSS Identification Abstract 1 Introduction 2 Materials and Methods 2.1 Utilized Experimental Data and Annotation 2.2 Overview of DiS-TSS 2.3 Feature Analysis and Selection 2.4 DiS-TSS Training 2.5 Application of Existing Algorithms 3 Results 3.1 Experimentally-Driven Evaluation 3.2 Evaluation Based on Protein-Coding Transcript Annotation 4 Discussion Conflict of Interest References LM-Based Word Embeddings Improve Biomedical Named Entity Recognition: A Detailed Analysis 1 Introduction 2 Materials and Methods 2.1 Problem Definition 2.2 Single-Task Learning 2.3 Multi-Task Learning 2.4 Flair Embeddings 2.5 Additional Embeddings 2.6 Datasets 2.7 Evaluation Metric 3 Results and Discussion 3.1 NER Results 3.2 Discussion 4 Conclusion References Evaluating Mutual Information and Chi-Square Metrics in Text Features Selection Process: A Study Case Applied to the Text Classification in PubMed 1 Introduction 2 Materials and Methods 2.1 Obtention of the Corpus from the Abstracts 2.2 Vocabulary Retrieval 2.3 Detailed Description of the Experiments 3 Experimental Results 3.1 Processing of the Corpus with No Vocabulary 3.2 Classification Results with No Vocabulary 3.3 Processing of the Corpus with Vocabulary 3.4 Chi-Square and Mutual Information with Vocabulary 3.5 Comparing Vocabulary and No Vocabulary Approaches 4 Conclusions References Profiling Environmental Conditions from DNA Abstract 1 Introduction 2 Theoretical Framework for GenISs 3 Data Collection and Methods 3.1 Data Collection 3.2 Predicting Environmental Features 4 Results 5 Conclusion and Future Research Acknowledgement References Stability of Feature Selection Methods: A Study of Metrics Across Different Gene Expression Datasets Abstract 1 Introduction 2 Materials and Methods 2.1 Stability Metrics 2.2 Datasets 2.3 Feature-Selection Methods 2.4 Empirical Study of Stability Metrics 2.5 Intra-method Similarity of Feature Subsets 2.6 Inter-methods Similarity of Feature Subsets 3 Results 3.1 Intra-method Similarity 3.2 Similarity of Feature Subsets Inter-methods 4 Conclusion References Medical Image Processing Influence of Sarcopenia on Bone Health Parameters in a Group of Elderly Lebanese Men Abstract 1 Introduction 2 Materials and Methods 2.1 Subjects and Study Design 2.2 Anthropometrical Measurements and Body Composition 2.3 Bone Variables 2.4 Handgrip Strength 2.5 Statistical Analysis 3 Results 3.1 Clinical Characteristics and Bone Variables of the Two Groups 3.2 Correlations Between Clinical Characteristics and Bone Variables in the Whole Population 3.3 Multiple Linear Regression Models 3.4 Adjusted Bone Variables in the Two Groups 4 Discussion 5 Conclusion Conflicts of Interest References Novel Thermal Image Classification Based on Techniques Derived from Mathematical Morphology: Case of Breast Cancer Abstract 1 Introduction 2 Related Work 3 Extraction of Region of Interest 3.1 A Threshold-Based Method 3.2 Blur, Erosion and Dilation Extension of Morphological Operators 3.3 Workflow and Algorithm Involve in the Described Model 4 Discussion and Results 5 Conclusions Acknowledgment References Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation 1 Introduction 2 Dataset Description 3 Methods 4 Results 4.1 Including Edema in the Segmentation ROI 4.2 Excluding Edema from the Segmentation ROI 4.3 Impact on Models Architecture and Ensembling 5 Conclusions References Brain MRI Modality Understanding: A Guide for Image Processing and Segmentation Abstract 1 Introduction 2 Brain MRI Lesion Diagnosis 2.1 Modalities 2.2 Cardinal Imaging Features 3 Differential Features in Lesion Subclassification 3.1 Enhanced Tumor 3.2 Necrosis 3.3 Edema 4 Discussion 5 Conclusion Acknowledgement References Computer-Aided Breast Cancer Diagnosis from Thermal Images Using Transfer Learning Abstract 1 Introduction 2 Related Work 3 Materials and Methods 3.1 Convolutional Neural Networks 3.2 Transfer Learning 3.3 AlexNet 3.4 Dataset 4 Experiments and Results 4.1 Data Preparation 4.2 Network Architectures 4.3 Empirical Results 5 Conclusion References Blood Cell Types Classification Using CNN 1 Introduction 1.1 Eosinophil 1.2 Monocytes 1.3 Lymphocytes 1.4 Neutrophils 2 Application of WBC Classification 3 Problem Statement 4 Blood Cell Count and Detection Dataset 5 Techniques Used 5.1 Convolution Neural Networks (CNN) 5.2 Rectified Linear Unit (ReLU) 5.3 Softmax Activation Function 5.4 Keras 5.5 TensorFlow 5.6 Google Colab 6 Implementation 7 Results and Discussions 7.1 Experiment 7.2 Selection of Metrics 7.3 Results 7.4 Comparison of Recorded Metrics 8 Challenges Faced 9 Future Work 10 Conclusion References Medical Image Data Upscaling with Generative Adversarial Networks 1 Introduction 2 Problem Definition 3 Previous Techniques and Comments 3.1 Basic Methods of Super-Resolution 3.2 Related Studies 3.3 Related Topics 4 Proposed Method 4.1 Model 4.2 Results 5 Conclusion References Enhancing Breast Cancer Classification via Information and Multi-model Integration 1 Introduction 2 Data Description 2.1 Preprocessing 2.2 Database 3 Materials and Methods 3.1 MSIM Training and Predicting 3.2 MSIM Submodels and Inputs 4 Results and Discussion 5 Conclusions References Simulation and Visualization of Biological Systems Kernel Based Approaches to Identify Hidden Connections in Gene Networks Using NetAnalyzer 1 Background 2 Materials and Methods 2.1 Description of Kernels 2.2 Kernel Implementation 2.3 Kernel Implementation Comparison in Different Platforms 2.4 Gene Prioritization 2.5 Testing the Prioritization of Disease Related Genes 3 Results 3.1 Platforms Benchmark Results 3.2 Kernel Performance in Prioritization of Disease Related Genes 4 Discussion and Conclusions References Comprehensive Analysis of Patients with Undiagnosed Genetic Diseases Using the Patient Exploration Tools Suite (PETS) 1 Introduction 2 Methods 2.1 Patient Data and Calculating Phenotype-Genotype Associations 2.2 Patient Exploration Tools Suite (PETS) Tools 3 Results 4 Discussion References Method of Detecting Orientation of Red Blood Cells Based on Video Data Abstract 1 Introduction 2 Methodology 2.1 Cell Size and Definition of Its Bounding Box 2.2 Identification of the Coordinates of the Cell’s Bounding Extremal Points 3 Results 3.1 Description of Numerical Simulations 3.2 Obtained Values of Extremal Bounding Points Coordinates 3.3 Discussion 4 Conclusion References Automated Tracking of Red Blood Cells in Images 1 Introduction 2 Related Work 3 Existing Architecture 3.1 Flow Matrix 3.2 Initial Tracking Step 3.3 First and Second Pass-Through 3.4 Performance Evaluation 4 Simulation Data Enhancement 5 Neural Network Tracking 6 Comparing Acquired Data with Simulations 6.1 Velocity Histogram 6.2 Cell Density Heat Map 6.3 Cell Rotations Histograms 7 Conclusion References A Novel Prediction Model for Discovering Beneficial Effects of Natural Compounds in Drug Repurposing 1 Introduction 2 Methods 2.1 Datasets Used 2.2 The Prediction Model 3 Results and Discussion 3.1 Statistical Analysis 3.2 Prioritizing Compounds for Combinatorial Therapies 3.3 Synergistic Effects Through Combinations of Herbs 3.4 Identification of New Indications and Compound-Targets 4 Conclusion References Assisted Generation of Bone Fracture Patterns 1 Introduction 2 Fracture Pattern 3 Fracture Pattern Generator Tool 4 Results 4.1 Fracture Pattern Generation 4.2 Usability Study 5 Conclusion References Author Index