held in conjunction with 

   ICCS 2024

(INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE)

Màlaga, Spain  

  2-4 July, 2024

Networks are present in different aspects of our life: communication networks, World Wide Web, Social Networks, and can be used to conveniently describe biological and clinical data, such as the interactions of proteins in an organisms or the connections of neurons in the brain. Therefore, network science, focusing on the network representations of physical, biological and social phenomena and leading to predictive models of these phenomena, currently represents a vast field of application and research for many scientific and social disciplines. Networks and network analysis methods are a keystone in computational biology and bioinformatics and are more and more used to study biological and clinical data in an integrated way.

Most recently,   Network science and Artificial intelligence (AI) are become two interconnected fields that can complement each other in various ways.

The combination of these two domains has the potential to address complex problems. Graph Neural Networks (GNNs): GNNs have gained popularity in recent years. These neural networks are designed to operate on graph-structured data, making them well-suited for tasks where relationships between data points are crucial.

The goal of  the workshop to bring together scientists in the fields of bioinformatics, biomedicine, medical informatics, as well as scientists working in biology and medicine, to collect  advanced works on  development of new pipelines, algorithms and tools for the network analysis of complex systems in different domains coupled with  AI .

TOPICS OF INTEREST

The workshop is seeking original research papers presenting applications of parallel and high performance computing to biology and medicine. Topics of interest include, but are not limited to:

•        Network-based bioinformatics methods;

•        Networks-based applications in computational biology, genomics, medicine, and healthcare;

•        Graph representation learning for visualizing and interpreting biological and biomedical data;

•        Bioinformatics methods for network-based analysis and visualization;

•        Network-based modelling and analysis of complex diseases;

•      Complex network models for structure and function analysis;

•      Network models in epidemiology;

•       Next-generation network science;

•        Artificial intelligence for network models of complex diseases;

•        Applications of deep learning approaches in computational biology, genomics, medicine, and healthcare;

•        Networks Alignment;

•        Complex Prediction;

•        Network Embedding;

•        Pathways Analysis;

•        Interactomics databases;

•        Pathways databases;

•        Multilayer Network.

INTEREST TO ICCS COMMUNITY

Biological Network Modelling and Analysis can be utilized in several applications such as the identification of drug targets, determining the role of proteins or genes of unknown function, the design of effective strategies for infectious diseases and  the early diagnosis of neurological disorders through detecting abnormal patterns of neural synchronization in specific brain regions.

The main motivation for the workshop is focuses on the collection of advanced works on  development of new pipelines, algorithms and tools for the network analysis of complex systems in different domains.