New trends in biomedical engineering and bioinformatics applied to biomedicine - special issue of IWBBIO 2014

摘要: From 2nd International Work-Conference on Bioinformatics and Biomedical Engineering - IWBBIO 2014 Granada, Spain. 7-9 April 2014 The present supplement in the BioMedical OnLine journal is composed by 7 extended papers from original selected (IWBBIO 2014) held Granada (Spain) during 7-9, 2014. These were due to their significant relevance importance of presented researches obtained outcomes. IWBBIO aimed create a friendly environment where scientists, engineers, educators students could discuss latest ideas, researches, theories, models applications. This conference was specifically oriented interdisciplinary multidisciplinary fields encompassing disciplines such as biomedical engineering, computer science, mathematics, statistics, biomedicine or bioinformatics. The also sought establish strengthen cooperation collaboration among scientists through presentations more recent works high-quality (including work-in-progress). dealt with, others, important challenges like genomics, proteomics, next generation sequencing (NGS), high performance bioinformatics, biological systems modelling, medical informatics, e-health, computational healthcare, engineering telemedicine. The has counted 197 that carefully reviewed accordingly accepted several referees (each submission at least 2, average 2.8, program committee members additional reviewers). As shown proceedings [1], both full contributions abstracts for presentation this conference. Nevertheless, it can be appreciated large majority papers. It note two-track containing total 21 oral 2 poster sessions. final number attendees 213, 49 different nationalities. countries which have contributed with researchers are (in order): Spain, Italy, Poland, United States, France, Kingdom, Brazil, India, Germany China. From these contributions, reduced authors then invited extend submit them OnLine. selection done taking into consideration evaluation opinion reviewers, chairs sessions guest editors. In regard, been considered specially focused ideas applied improvement healthcare engineering: novel strategies diagnosis treatment severe diseases implementation e-health frameworks make easier data management environment. Following, brief introduction each article provided sake consistency readability supplement. The first paper authored Prof. Arthur Williams et al. [2] essentially proposes design two symptom check-lists adults children (TRSC TRSC-C, respectively) oncological diseases. lists aim facilitate identification therapy-related symptoms produced patients, reassure patients making understandable improve patient-clinician communications. checklists indeed being incorporated pilot experience hospitals they adapted languages cultures. The Cristina Callau [3] describes approaches quantifying CK19 marker breast cancer tissues. proposed algorithms based vision techniques digital images tissues automatically perform immunohistochemistry (IHC) quantification. methods implemented avoid errors visual quantification expert pathologists. Outcomes study reasonable concordance between performed automated those ones Thus, findings promising beginning future an prognosis tool. Daniel Passeri [4] address numerical model simulate structure Ion Sensitive Field Effect Transistors (ISFETs) biosensors using 3D-TCAD tools. simulation successfully electrolyte ad-hoc parametric layer semiconductor, allowing its direct incorporation FET. It provides technology reducing time costs thanks simplifications larger dimensions less target charge sites. Following, Razvan Ghinea [5] presents group 402 predictive estimate reflectance spectrum biomaterials, specifically, dental resin composites. Each corresponds factor Multiple Non-Linear Regression (MNLR) algorithm determine experimental after training step, error <3.5% reaching values lower than theoretical acceptability threshold materials even smaller perceptibility threshold. In paper, Franciszek Binczyk [6] propose adaptive other solutions reduce phase five Nuclear Magnetic Resonance (NMI) spectroscopy. optimization correction validated silico phantom achieving accuracy 99.5%. results may help accurate diagnosis. The Oresti Banos [7] open source Android framework acquire, handle, store visualize sensor mHealth mobile More software properly designed faster development health applications well usage sensors included smartphones, tablets wearable devices. Additionally, shows so-called mHealthDroid, particular app collect framework. Finally, Vanathi Gopalakrishnan [8] methodology classify pediatric cardiomyopathies means information extracted Images (MRI). particular, Bayesian rules analyze 83 controls extract biomarkers associated disease. area under curve (AUC) dataset cross-validation procedure allows interpret tool contribute assessment MRI and, therefore, enhance cardiomyopathies. Moreover, confirm flexible extensible, applicable cardiovascular diseases. As Guest Editors, we would sincerely acknowledge all quality useful suggestions comments review procedure. We express our sincere gratitude Profs. Kenneth R. Foster Fong-Chin Su, Editors-in-Chief Online, giving opportunity publish supplement. Finally, very thankful Jennifer Egar, Assistant Project Manager Supplements BioMed Central, constant assistance edition publication pleasure us collaborate you. finally invite interested readers participate conferences, will announced http://iwbbio.ugr.es.