Bioinformatics and Biomedical Engineering : 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15–17, 2024, Proceedings, Part II / / edited by Ignacio Rojas, Francisco Ortuño, Fernando Rojas, Luis Javier Herrera, Olga Valenzuela

• Record Nr.: UNINA9910882895103321
• Autore: Rojas Ignacio
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 9783031646362; 9783031646355
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (387 pages)
• Collana: Lecture Notes in Bioinformatics, , 2366-6331 ; ; 14849
• Altri autori (Persone): OrtuñoFrancisco; RojasFernando; HerreraLuis Javier; ValenzuelaOlga
• Disciplina: 570.285
• Soggetti: Bioinformatics; Computer networks; Engineering - Data processing; Biomedical engineering; Computational and Systems Biology; Computer Communication Networks; Data Engineering; Biomedical Engineering and Bioengineering
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -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.
• Sommario/riassunto: 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.