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Editorial
. 2020 Dec 14;21(Suppl 17):546.
doi: 10.1186/s12859-020-03897-5.

Toward computational modelling on immune system function

Francesco Pappalardo  1 , Giulia Russo  2 , Pedro A Reche  3
Affiliations
Editorial

Toward computational modelling on immune system function

Francesco Pappalardo et al. BMC Bioinformatics. .

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.

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Conflict of interest statement

The authors declare that they have no competing interests.

References

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    1. Russo G, Sgroi G, Giuseppe Alessandro PP, Pennisi M, Juarez M, Cardona P-J, Motta S, Walker KB, Fichera E, Viceconti M, Pappalardo F. Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB. BMC Bioinform. 2020 doi: 10.1186/s12859-020-03762-5. - DOI - PMC - PubMed
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    1. Zhang P, Roberts T, Richards B, Haseler LJ. Utilizing heart rate variability to predict ICU patient outcome in traumatic brain injury. BMC Bioinform. 2020 doi: 10.1186/s12859-020-03814-w. - DOI - PMC - PubMed

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