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Although the manual approach often remains the golden standard in some tasks like segmentationML can be utilised to automate and facilitate the work of researchers and clinicians. Nobile, Dept. The aim of the session is to report original research and case studies where models are explained and verified using clinical or bioinformatics knowledge. Formal languages, process algebras, computational topology, quantum information processing, and learning algorithms were found to be decisive in facing the complexity of RNA modeling. Nevertheless, achieving any real advancesin this field requires the effort to pull together methodologies and expertise from all these even distant approaches. Deep ANNs, i. In this context, these advanced ML techniques can be suitably exploited to combine heterogeneous sources of information, allowing for multi-omics data integration. The aim of the special session is to host original papers and reviews on recent research advances and the state-of-the-art methods in the fields of Soft Computing, Machine Learning and Data Mining methodologies concerning with the processing of omics data in order to shed light about the relationship between genotype and disease-related phenotype. The scope of this special session is to bring together researchers involved in the development of methods applied to the fields of Computational Biology and Systems Medicine.

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    Relevant topics within this context include, but are not limited to:.

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    Biostatistics and bioinformatics are considered and perceived as different disciplines, with the former being more associated with complex math and modeling issues and the latter dealing more with the development of faster and efficient algorithms within an informatics and engineering approach.

    In fact, machine learning algorithms can identify hidden relationships and structures in health care data, and even take advantage of them to make accurate predictions about similar or future data instances. The identification of new strategies for processing and analyzing such kind of data is becoming more and more necessary since their large amount of data can sometimes represent a real obstacle to effectively identify the most relevant patterns and to build comprehensive models capable of explaining complex biological phenotypes.

    The aim of this special session is to bring together theoretical researchers interested in cutting-edge methods to address the challenges posed by the huge amount of data produced in omics sciences and in application to systems and synthetic biology and experimental researchers with interests on develop experimentally new approaches of synthetic biology for biomedical and biotechnological applications like implants, artificial organs, advanced medical systems, drug delivery systems and sensors.

    A deeper understanding of these issues has great scientific relevance and paves the way for novel applications in medicine and pharmacology.

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    Giovanna staianos furniture
    It has also been used in the oncological and neuroimaging domains for automatic disease diagnosis, tissue segmentation, and even synthetic image generation.

    Consequently, parameter-efficient design paradigms specifically tailored to medical applications ought to be devised, also by exploiting CI-based techniques e. The main issue, however, remains the relative sample paucity in typical imaging datasets that leads to a poor generalisation of the employed deep ANNs, considering the high number of required parameters.

    It has also been used in the medical and neuroimaging domains for automatic disease diagnosis, tissue segmentation and even synthetic image generation.

    The track of this SS aims to present latest experimental advancements concerning synthetic biology. Although the manual approach often remains the golden standard in some tasks like segmentationML can be utilised to automate and facilitate the work of researchers and clinicians.

    The emerging research interest in the molecular characterization of clones over time required novel Bioinformatics methodologies, covering different disciplines and topics from mathematical modeling to population based statistics, somatic mutation search and profiling, clonal evolution and phylogenetic reconstruction.

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    SPECIAL SESSIONS cibb

    Future marketer in the making!. Session chairs. Tiago Azevedo Giovanna Maria Dimitri, University of Cambridge, UK. Pietro Liò Antonino Staiano, Università di Napoli Parthenope, Italy.
    In this context, these advanced ML techniques can be suitably exploited to combine heterogeneous sources of information, allowing for multi-omics data integration. Proposals of special sessions will be evaluated as soon as they are submitted.

    Machine learning has become a pivotal tool to analyze biomedical and biological datasets, especially in the Big Data era. The scope of this special session is to bring together researchers involved in the development of methods applied to the fields of Computational Biology and Systems Medicine.

    The bioengineering has been fundamental in both regenerate medicine and the understanding of biochemical mechanisms involved in life appearance and maintenance. Although the manual approach often remains the golden standard in some tasks like segmentationML can be utilised to automate and facilitate the work of researchers and clinicians.

    Please send proposals to cibb campus.

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    The identification of new strategies for processing and analyzing such kind of data is becoming more and more necessary since their large amount of data can sometimes represent a real obstacle to effectively identify the most relevant patterns and to build comprehensive models capable of explaining complex biological phenotypes.

    It has also been used in the medical and neuroimaging domains for automatic disease diagnosis, tissue segmentation and even synthetic image generation. This special session is focused on the bioinformatics procedures related to clonal tracking and dynamics, and single cell applications to translational biomedicine with the aim of presenting novel methodological approaches and their applications.

    Special Session proposals, including the session's title and scope, short CV of sessions chairs, preliminary list of at least 4, possibly more, potential authors are due by 25th March Although the manual approach often remains the golden standard in some tasks like segmentationML can be utilised to automate and facilitate the work of researchers and clinicians.

    Special Sessions CIBB Bergamo, Italy

    The main goal of our special session is to highlight the advantages and limitations of these alternative points of view, to show how they can steer RNA modeling towards new directions.

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    Biostatistics and bioinformatics are considered and perceived as different disciplines, with the former being more associated with complex math and modeling issues and the latter dealing more with the development of faster and efficient algorithms within an informatics and engineering approach. The aim of this special session is to bring together theoretical researchers interested in cutting-edge methods to address the challenges posed by the huge amount of data produced in omics sciences and in application to systems and synthetic biology and experimental researchers with interests on develop experimentally new approaches of synthetic biology for biomedical and biotechnological applications like implants, artificial organs, advanced medical systems, drug delivery systems and sensors.

    Relevant topics within this context include, but are not limited to: physical interactions between biological molecules, effect of radiation and plasma in biological tissues, cell-nanomaterials interactions, molecular aspects of membrane assembly and transport, communication between cells, biosensors at micro and nanoscales, drug delivery systems, liposomes and encapsulation of molecules, synaptic transmission, artificial organs and contractile systems.

    Machine learning systems are often treated as black-boxes, which makes it difficult to apply them in safety-related applications and may create serious difficulties given the right to explanation built into the new general data protection regulations. A special session is expected to have at least 4 accepted papers.

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    Please send proposals to cibb campus.

    Researchers study both the structural and functional connectivity in order to understand important brain patterns, such as how the connectome impacts the dynamics of disease spreading, ageing and learning.

    Although the manual approach often remains the golden standard in some tasks e. It has also been used in the medical and neuroimaging domains for automatic disease diagnosis, tissue segmentation and even synthetic image generation. In this context, these advanced ML techniques can be suitably exploited to combine heterogeneous sources of information, allowing for multi-omics data integration. Proposals of special sessions will be evaluated as soon as they are submitted.