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Full Description
This volume constitutes the proceedings of the 11th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 15-17, 2022.
The 54 full papers were carefully reviewed and selected from 148 submissions. They were organized in the following topical sections: Healthcare and Diseases, Machine Learning in Bioinformatics, New Advances in Deep Learning in Bioinformatics and Biomedicine, Novel Methodologies and Applications in Bioinformatics and Biomedicine.
Contents
-Healthcare and Diseases.- Cost utility Analysis of Robotic assisted Radical Cystectomy.- Bridging Domains in Chronic Lower Back Pain Large Language Models and Ontology driven Strategies for Knowledge Graph Construction.- Screening for age related macular degeneration a cost effectiveness evaluation.- Parkinsons disease progression and treatment dynamics accounting for nonlocality of bioneurological processes.- Divergent expression of PD1 as challenges and chances of Immunotherapy targeting PD1or PDL1 in cancer.- Machine Learning in Bioinformatics.- An Algorithm For Local Alignment Of DNA And Protein Sequences.- Modeling of an aquaponic system.- Fish acoustic telemetry as causal stochastic system and PerronFrobenius analysis of its Markov mode.- Breast cancer biomarker analysis using gene co expression networks.- Towards a Computational Approach to Quantification of Allele Specific Expression at Population Level.- Exploring DNA Methylation Patterns in the Core Genome of Klebsiella pneumoniae.- A Transfer Learning based Approach to Unveil Kinase specific Phosphorylation Sites of Understudied Kinases.- New Advances in Deep Learning in Bioinformatics and Biomedicine.- Enhancing Echocardiography Quality with Diffusion Neural Models.- AE Obi LSTM An Efficient IOT Wearable Devices for Cardiovascular Disease Prediction.- Deep Learning Based Breast Cancer Subtype Classification from Whole-Slide Images Leveraging the BRACS Dataset.- Bioinformatics based analysis provides a deeper understanding of how microRNAs control transcriptional activity in mumps virus infection.- Training Deep Learning Neural Networks for Predicting CCS using the METLIN CCS Dataset.- Fully automated multi input deep learning-based system to predict COVID 19 patients outcome from imaging and clinical data.- Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning.- Novel Methodologies and Applications in Bioinformatics and Biomedicine.- Visualizing Horizontal Gene Transfer Detection in Phylogenetically Divergent Bacteria.- Enhancing MET Copy Number Estimation by Factoring in Tumor Purity and Variant Types.- Microbiome Classification in Colon Cancer Patients using Chaos Game Representations and CNN models.- A Novel Integrative Model of DNA Dynamics Unifying Stochastic Boolean and Combinatorial Approaches.- Unveiling Diversity Classification of Klebsiella pneumoniae Plasmids from Long read Assemblies.- Study on the construction and application of Engineering bacteria.- TextNetTopics SFTS SBTS TextNetTopics Scoring Approaches based Sequential Forward and Backward.- Interpreting Respiratory Syncytial Virus (RSV) Nucleoprotein Mutations A Structural and Functional Perspective.
