Description

Book Synopsis

.- Biosensors and Data Acquisition.

.- Methods for Wearable Electrocardiogram and Photoplethysmogram Synchronization.

.- Optimization of the Tau Parameter in Phase Space Plots for ECG Signal Quality Assessment.

.- Use of the graphic tablet for monitoring and analysis of the spatial and temporal characteristics of a precise manual task.

.- Emerging Trends and Innovations in E-Health.

.- Vision Language Models for Dynamic Human Activity Recognition in Healthcare Settings.

.- Method for detection and analysis of the sit-to-walk transition in older adults. Threshold-based transition detection application: a case study.

.- Agent-Based Modeling of Retinal Development.

.- High Performance in Bioinformatics.

.- Benchmarking variant calling algorithms for the analysis of genomic data in panel sequencing.

.- VCFX: A Minimalist, Modular Toolkit for Streamlined Variant Analysis.

.- Machine Learning-Based Screening Tool for Lung Adenocarcinoma Via Gut Microbiome.

.- Cost-Effective Microbiome Profiling: Abridged Shotgun Sequencing.

.- Correlation between CYP1A2 Genetic Polymorphism and Drug ResponseI.

.- A Systematic Comparison of Phylogenetic Inference Methods Using an Inverse Problem Approach.

.- Innovations in Cancer Research: The Role of Bioinformatics and Biomedical Engineering.

.- Differential Flux-balance Analysis infers metabolic mutations associated with cancer.

.- Explainable AI for Clinical Decision-Making: Unlocking the Potential of MSI Thresholds in Bladder Cancer.

.- IGHV Mutational Status and DNA Entropy: Refining Prognostic Tools in Chronic Lymphocytic Leukemia.

.- Machine learning in Bioinformatics and Biomedicine.

.- Machine Learning Models for Assessing Depression in Syrian Adolescent Refugees in Jordan.

.- Predicting T cell receptor specificity with graph attention networks.

.- CyberKnife and Data Mining: Exploring opportunities for clinical advancements.

.- Sickle cell disease patient care system using artificial intelligence.

.- Automated Annotation of Electronic Health Records Using Large Language Models.

.- A supervised learning strategy to investigate age effect on brain activity and support biomarkers detection for neurological disorders.

.- Recent Advances in Bioinformatics.

.- NucleoConvert Analytics: An Integrated Platform for DNA-to-RNA Conversion and Sequence Analysis.

.- Computational Analysis and Prediction of CYP1A2-Related Toxicants for Safer Drug Discovery.

.- Gene Co-Expression Network analysis based on GPUs for biomarkers discovery in sarcomas.

.- An Algorithm For Local Pairwise Alignment Of DNA Sequences.

.- Metabolomic Predictions via SOM: A Cold-Stress Case Study in Arabidopsis thaliana.

Bioinformatics and Biomedical Engineering

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    £49.99

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    Order before 4pm today for delivery by Tue 16 Jun 2026.

    A Paperback by Ignacio Rojas

    15 in stock


      View other formats and editions of Bioinformatics and Biomedical Engineering by Ignacio Rojas

      Publisher: Springer
      Publication Date: 14/11/2025
      ISBN13: 9783032084514, 978-3032084514
      ISBN10:

      Description

      Book Synopsis

      .- Biosensors and Data Acquisition.

      .- Methods for Wearable Electrocardiogram and Photoplethysmogram Synchronization.

      .- Optimization of the Tau Parameter in Phase Space Plots for ECG Signal Quality Assessment.

      .- Use of the graphic tablet for monitoring and analysis of the spatial and temporal characteristics of a precise manual task.

      .- Emerging Trends and Innovations in E-Health.

      .- Vision Language Models for Dynamic Human Activity Recognition in Healthcare Settings.

      .- Method for detection and analysis of the sit-to-walk transition in older adults. Threshold-based transition detection application: a case study.

      .- Agent-Based Modeling of Retinal Development.

      .- High Performance in Bioinformatics.

      .- Benchmarking variant calling algorithms for the analysis of genomic data in panel sequencing.

      .- VCFX: A Minimalist, Modular Toolkit for Streamlined Variant Analysis.

      .- Machine Learning-Based Screening Tool for Lung Adenocarcinoma Via Gut Microbiome.

      .- Cost-Effective Microbiome Profiling: Abridged Shotgun Sequencing.

      .- Correlation between CYP1A2 Genetic Polymorphism and Drug ResponseI.

      .- A Systematic Comparison of Phylogenetic Inference Methods Using an Inverse Problem Approach.

      .- Innovations in Cancer Research: The Role of Bioinformatics and Biomedical Engineering.

      .- Differential Flux-balance Analysis infers metabolic mutations associated with cancer.

      .- Explainable AI for Clinical Decision-Making: Unlocking the Potential of MSI Thresholds in Bladder Cancer.

      .- IGHV Mutational Status and DNA Entropy: Refining Prognostic Tools in Chronic Lymphocytic Leukemia.

      .- Machine learning in Bioinformatics and Biomedicine.

      .- Machine Learning Models for Assessing Depression in Syrian Adolescent Refugees in Jordan.

      .- Predicting T cell receptor specificity with graph attention networks.

      .- CyberKnife and Data Mining: Exploring opportunities for clinical advancements.

      .- Sickle cell disease patient care system using artificial intelligence.

      .- Automated Annotation of Electronic Health Records Using Large Language Models.

      .- A supervised learning strategy to investigate age effect on brain activity and support biomarkers detection for neurological disorders.

      .- Recent Advances in Bioinformatics.

      .- NucleoConvert Analytics: An Integrated Platform for DNA-to-RNA Conversion and Sequence Analysis.

      .- Computational Analysis and Prediction of CYP1A2-Related Toxicants for Safer Drug Discovery.

      .- Gene Co-Expression Network analysis based on GPUs for biomarkers discovery in sarcomas.

      .- An Algorithm For Local Pairwise Alignment Of DNA Sequences.

      .- Metabolomic Predictions via SOM: A Cold-Stress Case Study in Arabidopsis thaliana.

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