Toward computational modelling on immune system function
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INTRODUCTION
Toward computational modelling on immune system function Francesco Pappalardo1*†, Giulia Russo1† and Pedro A. Reche2†
From 3rd International Workshop on Computational Methods for the Immune System Function (CMISF 2019) San Diego, CA, USA. 18-21 November 2019 *Correspondence: francesco.pappalardo@unict. it † Francesco Pappalardo, Giulia Russo, and Pedro A. Reche: CMISF 2019 Co-Chairs 1 Department of Drug and Health Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy Full list of author information is available at the end of the article
Abstract The 3rd edition of the computational methods for the immune system function workshop has been held in San Diego, CA, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019) from November 18 to 21, 2019. The workshop has continued its growing tendency, with a total of 18 accepted papers that have been presented in a full day workshop. Among these, the best 10 papers have been selected and extended for presentation in this special issue. The covered topics range from computer-aided identification of T cell epitopes to the prediction of heart rate variability to prevent brain injuries, from In Silico modeling of Tuberculosis and generation of digital patients to machine learning applied to predict type-2 diabetes risk. Introduction In recent years, a growing openness by pharmaceutical regulatory agencies to receive and accept evidence obtained in silico, i.e. through the use of computational modelling and simulation platforms, has further increased interest in the field of computational immunology and its derived instruments and methodologies. Nowadays, the possibility of replacing in vitro and in vivo experiments with computer simulations is no longer a chimera. Both data-driven and mechanistic models can be used to suggest novel biomarkers, to predict the occurrence of heart attacks, to select best epitopes for novel vaccines, to test novel and existing pharmaceutical compounds by means of computer simulations, to realize “virtual patients” that can be enrolled into clinical trials in addition to real patients for augmenting statistical evidence. Consequently, the idea of a workshop on these topics remains one of our major priorities, as it is starting to represent a regular point for discussion and comparison among researchers coming from all over the world. From the 18 accepted workshop contributions, 10 papers have been extended for inclusion in this special issue. Topics of interest
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