Bioinformatics and Biomedical Engineering

11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15–17, 2024, Proceedings, Part II

Häftad, Engelska, 2024

Av Ignacio Rojas, Francisco Ortuño, Fernando Rojas, Luis Javier Herrera, Olga Valenzuela, Francisco Ortuno

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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.

Produktinformation

Utgivningsdatum2024-08-28
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Bioinformatics
Antal sidor369
FörlagSpringer International Publishing AG
ISBN9783031646355

Tillhör följande kategorier

Biomedicinsk teknik inom Medicin
Hälsoinformatik inom Medicin

-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.