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Il volume intende diffondere e facilitare la conoscenza e l'approfondimento di un tema che negli ultimi anni ha alimentato conversazioni e discussioni nei contesti giuridici, governativi e morali, sia in Italia sia all'estero: l'impatto delle nuove tecnologie sul trattamento sanitario. La costante crescita dell'uso di dispositivi sempre più evoluti in ambito medico-sanitario ha aperto gli scenari a vantaggi inimmaginabili fino a pochi anni fa, ma ha anche suscitato un dibattito sia etico sia giuridico, soprattutto sull'utilizzo dei sistemi di Intelligenza Artificiale in relazione al trattamento di dati particolari come quelli sanitari. L'impiego dell'IA e degli altri strumenti in ambito medico deve sempre essere a supporto di obiettivi ed esigenze personali per ciascun paziente. Un approccio frenetico e privo di bilanciamenti ad un tema così delicato non può che trasformare in una barriera i preziosi mezzi di cui disponiamo.Etica, responsabilità e consapevolezza, ora più che mai, giocano un ruolo centrale in questa costante e delicata evoluzione. Introduzione di Massimo V. A. Manzari. Postfazione di Paolo Catti.
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Virus bioinformatics is evolving and succeeding as an area of research in its own right, representing the interface of virology and computer science. Bioinformatic approaches to investigate viral infections and outbreaks have become central to virology research, and have been successfully used to detect, control, and treat infections of humans and animals. As part of the Third Annual Meeting of the European Virus Bioinformatics Center (EVBC), we have published this Special Issue on Virus Bioinformatics.
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This book discusses the application of bioinformatics in cancer disease management. It covers general aspects of cancer as a disease but also as a success story in the translation of omics data in clinical settings. It provides an overview of the specific applications of bioinformatics tools in cancer epidemiology, prevention, and screening and in the identification of novel genetic and molecular biomarkers involved in cancer development. This is accomplished through the inclusion of numerous examples of the use of bioinformatics in precision oncology.
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This book aims to provide a brief update on the functions of purinergic receptors in various systems, in addition to the signaling pathway activated to mediate these functions. We address the influence of hypoxia by modulating the activity of these receptors under physiological and pathophysiological conditions. Additionally, we describe the mechanisms of induction of pain and inflammation in different systems. Finally, the book discusses some of the main bioinformatics tools currently used to improve or discover new prototypes capable of selectively acting on these receptors with estimated parameters of satisfactory solubility and toxicity for possible commercial implementation.
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While the field of computational structural biology or structural bioinformatics is rapidly developing, there are few books with a relatively complete coverage of such diverse research subjects studied in the field as X-ray crystallography computing, NMR structure determination, potential energy minimization, dynamics simulation, and knowledge-based modeling. This book helps fill the gap by providing such a survey on all the related subjects. Comprising a collection of lecture notes for a computational structural biology course for the Program on Bioinformatics and Computational Biology at Iow
Computational biology. --- Structural bioinformatics. --- Structure bioinformatics --- Bioinformatics --- Molecular structure --- Biology
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This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. Second, it introduces state-of-the-art bioinformatics research methods. Furthermore, the book includes R codes and example data sets to help readers develop their own bioinformatics research skills. The theoretical parts and the practical par
Bioinformatics. --- Machine learning. --- Bioinformatics --- Machine learning
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High-throughput sequencing and functional genomics technologies have given us a draft human genome sequence and have enabled large-scale genotyping and gene expression profiling of human populations. Databases containing large number of sequences, polymorphisms, and gene expression profiles of normal and diseased tissues in different clinical states are rapidly being generated for human and model organisms. Bioinformatics is thus rapidly growing in importance in the annotation of genomic sequences, in the understanding of the interplay between genes and proteins, in the analysis the genetic va
Bioinformatics --- Biology --- Data processing.
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High-throughput sequencing and functional genomics technologies have given us a draft human genome sequence and have enabled large-scale genotyping and gene expression profiling of human populations. Databases containing large numbers of sequences, polymorphisms, and gene expression profiles of normal and diseased tissues in different clinical states are rapidly being generated for human and model organisms. Bioinformatics is thus rapidly growing in importance in the annotation of genomic sequences, in the understanding of the interplay between genes and proteins, in the analysis of the genetics
Bioinformatics --- Biology --- Data processing.
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