@article{croatti-himas2020,
abstract = {A digital twin is a digital representation of a physical asset reproducing its data model, its behaviour and its communication with other physical assets. They act as a digital replica for the physical object or process they represent, providing nearly real-time monitoring and evaluation without being in close proximity. Although most of their concrete applications can be found mainly in the industrial context, healthcare represents another relevant area where digital twins can have a disruptive impact. The main research question tackled by this paper is about the integration of digital twins with agents and Multi-Agent Systems (MAS) technologies in healthcare, discussing what are the benefits and how such an integration could be realised. After providing an overview of the application of digital twins in healthcare, in this paper we discuss our vision about agent-based digital twins, and we discuss a first case study, about the application of agent-based digital twins to the management of severe traumas.},
apice = {CroattiHimas2020},
articleno = 161,
author = {Croatti, Angelo and Matteo Gabellini and Montagna, Sara and Ricci, Alessandro},
booktitle = {Healthcare Intelligent Multi-Agent Systems (HIMAS2020)},
dblp = {journals/jms/CroattiGMR20},
doi = {10.1007/s10916-020-01623-5},
iris = {11585/768219},
journal = {Journal of Medical Systems},
keywords = {Digital Twin, Agents, MAS, Healthcare, Trauma Management},
month = {August},
note = {ciuupaaa},
numpages = 8,
publisher = {Springer},
pubmed = {32748066},
scopus = {2-s2.0-85088988374},
semanticscholar = {220938916},
title = {On the Integration of Agents and Digital Twins in Healthcare},
url = {https://link.springer.com/10.1007/s10916-020-01623-5},
urlpdf = {https://link.springer.com/content/pdf/10.1007/s10916-020-01623-5.pdf},
volume = 44,
wos = {WOS:000555985700001},
year = 2020
}
@incollection{abminmsb-dataanalyticsmedicinebook2020,
apice = {AbminmsbDataanalyticsmedicinebook2020},
author = {Montagna, Sara and Omicini, Andrea},
booktitle = {Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications},
chapter = 20,
doi = {10.4018/978-1-7998-1204-3.ch020},
eisbn = {9781799812050},
iris = {11585/786747},
isbn = {9781799812043},
isbn10 = {1799812049},
lens = {029-510-232-620-632},
note = {Reprint},
openalex = {W4253430420},
pages = {369--389},
publisher = {IGI Global},
scopus = {2-s2.0-85137554410},
title = {Agent-based Modelling in Multicellular Systems Biology},
url = {https://www.igi-global.com/gateway/chapter/243121},
year = 2020
}
@article{traumatracker-hij26,
apice = {TraumatrackerHij26},
author = {Montagna, Sara and Croatti, Angelo and Ricci, Alessandro and Agnoletti, Vanni and Albarello, Vittorio and Gamberini, Emiliano},
dblp = {journals/hij/MontagnaCRAAG20},
doi = {10.1177/1460458219825507},
iris = {11585/666011},
journal = {Health Informatics Journal},
number = 1,
pages = {328--341},
pubmed = {30726161},
scopus = {2-s2.0-85061744374},
title = {Real-time tracking and documentation in trauma management},
url = {https://journals.sagepub.com/doi/10.1177/1460458219825507},
volume = 26,
wos = {WOS:000532778400025},
year = 2020
}
@article{montagna-himas2020,
apice = {MontagnaHimas2020},
articleno = 188,
author = {Montagna, Sara and Mariani, Stefano and Emiliano Gamberini and Ricci, Alessandro and Franco Zambonelli},
dblp = {journals/jms/MontagnaMGRZ20},
journal = {Journal of Medical Systems},
month = {September},
numpages = 10,
pages = {1--10},
publisher = {Springer},
scopus = {2-s2.0-85091010061},
title = {Complementing Agents with Cognitive Services: A Case Study in Healthcare},
url = {https://link.springer.com/10.1007/s10916-020-01621-7},
urlpdf = {https://link.springer.com/content/pdf/10.1007/s10916-020-01621-7.pdf},
volume = 44,
year = 2020
}
@article{montagna-tccb2020,
apice = {MontagnaTccb2020},
author = {Montagna, Sara and Braccini, Michele and Roli, Andrea},
doi = {10.1109/TCBB.2020.2968310},
issn = {2374-0043},
journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},
keywords = {Genetic regulatory networks model;Boolean networks;Self-Loops;Cell Differentiation},
pages = {1--12},
title = {{The Impact of Self-loops on Boolean Networks Attractor Landscape and Implications for Cell Differentiation Modelling}},
url = {https://ieeexplore.ieee.org/document/8966265},
year = 2020
}