Mathematical and Computational Modelling in Biological and Applied Science Processes

Dear Colleagues,

Life Sciences have become central in scientific research for years now, both for their wide range of advanced applications and for their usefulness in the treatment of complex and/or rare diseases that affect mankind.

Experimentalists in Biology, and more generally in the Natural and Applied Sciences, increasingly look to the simulation methods and tools that mathematicians, statisticians and computer scientists can offer, trying to obtain in-depth information on the physical phenomena in which they are involved. To accomplish this task, the modelling aspect is confirmed as an essential step to gain insights and acquire knowledge on the phenomena considered, describe the related processes of interest and make predictions.

Contributions regarding applications of mathematics to real-life situations and, above all, to Natural and Applied Science, in particular to Computational Biology and Biotechnology, but also to Physics and Medicine, are therefore welcome. Also of interest are applications involving complex and/or high-dimensional data or dynamics arising from Applied Empirical Sciences in general. Particular consideration is given to numerical and computational treatment. Hybrid symbolic/numerical solution approaches are also of interest.

Potential contributions include — but are not limited to—the following topics:

• Computational methods of biological and applied life science processes;
• Deterministic and stochastic modelling for biological processes;
• Computational approaches for multi-omics data;
• Applications of Artificial Intelligence to Biology, Biomathematics and Biotechnology;
• Artificial Intelligence in Biomedical Imaging and Healthcare applications;
• Mathematical modelling for Bioscience data integration;
• Optimization methods for Computational Systems Biology;
• Big data analysis and their numerical treatment;
• Modeling and simulation in applied science problems.

Prof. Giulia Spaletta
Prof. Margherita Carletti
Guest Editors

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• computational biology
• computational mathematics
• computational biostatistics
• bioinformatics
• omics data
• big data
• nonlinear dynamics
• artificial intelligence
• image processing
• applied science
• applied empirical science
• applications
• symbolic and numerical calculus