Leistungen
Report on the modeling simulation framework able to simulate human immune system dynamics
The UNICT partner has developed through years a computational modeling infrastructure able to simulate the main features and dynamics of the immune system, named UISS (Universal Immune System Simulator). UISS is a multi-scale, multi-organ, three-dimensional agent based simulator of the immune system with an attached module able to simulate the dynamics of specific biological pathways at the molecular level. In this report we describe the extension and the enhancing of the UISS platform to take care of the human immune system at large scale, in order and include the organs that play important role in TB i.e., lungs and the lymph nodes around them.
Report on the tuning and refinement of the in silico models at time 12 and the creation of virtual patients for predictionsFirst patient recruitment
Enrollment of the first participant in the Clinical Trial
Governance and meetings: the governance bodies are set. SC meetings organised: logistic, preparation of programme, invitation of expertsGovernance and meetings: the governance bodies are set. Kick off meeting organised: logistic, preparation of programme, invitation of experts.
Report on the set of generated in silico modelsThis deliverable will report the development of the in silico models in order to represent each individual enrolled in the clinical trial
Third dissemination reportReport on the data collection and selection on TB disease and candidate vaccines/treatments
The purpose of this deliverable is to collect all publicly available data on the host-pathogen interaction for TB infection and disease as well as data from preclinical and clinical studies conducted with TB vaccine candidates in the pipeline.
First dissemination reportReport on the creation of the subjects-specific and virtual patients libraries that will be used in the implementation of the in silico clinical trial
The purpose of this deliverable is to create a set of subjects-specific models with the aim to reproduce biological diversity of the subjects. Hence, the library of subjects created will be personalized with a “vector of features” that identifies a specific real patient with the final goal to to obtain a library of virtual M. tuberculosis infected patients that will be vaccinated and treated accordingly.
A coherent hierarchical Bayesian model encompassing the virtual and real data sources.This deliverable brings real and virtual patients models together to relate in a coherent manner the outcome from the in silico and in vivo experiments in the (WP2).
Dissemination planAn efficient computational implementation of the model, yielding information and measures of variability on the evaluation of the vaccines
In this deliverable we will present an efficient computational implementation of the model, yielding information and measures of variability on the evaluation of the vaccines
Report on the extensions implemented into the modeling simulation platform to reproduce the immune system – TBC – vaccines interactions and dynamicsThe goal of this deliverable is to integrate into UISS modeling framework the capability to simulate the dynamics and the specific features of the tuberculosis mycobacterium infection. Moreover the UISS modeling framework will be enabled to simulate the artificial immunity induced by two vaccines i.e., Ruti vaccine and ID93 vaccine.
Last patient recruitmentWith this deliverable we will complete the enrollment of the patients for the Clinical Trial
Creation of a public web site (strituvad-isct.eu) .
Establishment of a web based information portalA web site will be created that will contain links to all the significant Tuberculosis research sites, but more importantly, enabling the presentation of progress reports of the project to be seen publicly. At the same time, in a private channel each partner enabled with proper login and password could exchange confidential information in form of documents or data including reports, charts, updated financial plans, contact information; information about activities conducted by each group, protocols, Standard Operating Procedures (SOPs) IP-related documents etc.
Veröffentlichungen
Autoren:
Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Angela Bonaccorso, Giuseppe Alessandro Parasiliti Palumbo, Epifanio Fichera, Dipendra Kumar Mitra, Kenneth B. Walker, Pere-Joan Cardona, Merce Amat, Marco Viceconti, Francesco Pappalardo
Veröffentlicht in:
BMC Bioinformatics, Ausgabe 20/S6, 2019, ISSN 1471-2105
Herausgeber:
BioMed Central
DOI:
10.1186/s12859-019-3045-5
Autoren:
Giulia Russo; Valentina Di Salvatore; Filippo Caraci; Cristina Curreli; Marco Viceconti; Francesco Pappalardo
Veröffentlicht in:
Expert Opinion on Drug Discovery, Ausgabe 3, 2021, ISSN 1746-0441
Herausgeber:
Informa Healthcare
DOI:
10.1080/17460441.2021.1935861
Autoren:
Miguel A. Juárez, Marzio Pennisi, Giulia Russo, Dimitrios Kiagias, Cristina Curreli, Marco Viceconti, Francesco Pappalardo
Veröffentlicht in:
BMC Bioinformatics, Ausgabe 21/S17, 2020, ISSN 1471-2105
Herausgeber:
BioMed Central
DOI:
10.1186/s12859-020-03776-z
Autoren:
Cristina Curreli; Francesco Pappalardo; Giulia Russo; Marzio Pennisi; Dimitrios Kiagias; Miguel A. Juárez; Marco Viceconti
Veröffentlicht in:
International Journal for Numerical Methods in Biomedical Engineering, Ausgabe 37:7, 2021, Seite(n) 1-15, ISSN 2040-7939
Herausgeber:
John Wiley & Sons Ltd.
DOI:
10.1002/cnm.3470
Autoren:
Giulia Russo; Valentina Di Salvatore; Giuseppe Sgroi; Giuseppe Alessandro Parasiliti Palumbo; Pedro A Reche; Francesco Pappalardo
Veröffentlicht in:
Briefings in Bioinformatics, Ausgabe 3, 2022, ISSN 1477-4054
Herausgeber:
Oxford University Press
DOI:
10.1093/bib/bbab403
Autoren:
Dimitrios Kiagias; Giulia Russo; Giuseppe Sgroi; Francesco Pappalardo; Miguel A. Juárez
Veröffentlicht in:
Frontiers in Medical Technology, Ausgabe 3, 2021, Seite(n) 1-11, ISSN 2673-3129
Herausgeber:
Lausanne: Frontiers Media S.A., 2019-
DOI:
10.3389/fmedt.2021.719380
Autoren:
"Musuamba, Flora T; Skottheim Rusten, Ine; Lesage, Raphaë lle; Russo, Giulia; Bursi, Roberta; Emili, Luca; Wangorsch, Gaby; Manolis, Efthymios; Karlsson, Kristin E; Kulesza, Alexander; Courcelles, Eulalie; Boissel, Jean-Pierre; Rousseau, Cé cile F; Voisin, Emmanuelle M; Alessandrello, Rossana; Curado, Nuno; Dall' ara, Enrico; Rodriguez, Blanca; Pappalardo, Francesco; Geris, Liesbet"
Veröffentlicht in:
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 8, Pp 804-825 (2021), Ausgabe 2, 2021, ISSN 2163-8306
Herausgeber:
Nature Publishing Group
DOI:
10.1002/psp4.12669
Autoren:
Mozhgan Kabiri Chimeh, Peter Heywood, Marzio Pennisi, Francesco Pappalardo, Paul Richmond
Veröffentlicht in:
BMC Bioinformatics, Ausgabe 20/S6, 2019, ISSN 1471-2105
Herausgeber:
BioMed Central
DOI:
10.1186/s12859-019-3181-y
Autoren:
Francesco Pappalardo, Giulia Russo, Flora Musuamba Tshinanu, Marco Viceconti
Veröffentlicht in:
Briefings in Bioinformatics, Ausgabe 20/5, 2018, Seite(n) 1699-1708, ISSN 1467-5463
Herausgeber:
Oxford University Press
DOI:
10.1093/bib/bby043
Autoren:
Marco Viceconti, Miguel A. Juarez, Cristina Curreli, Marzio Pennisi, Giulia Russo, Francesco Pappalardo
Veröffentlicht in:
IEEE Journal of Biomedical and Health Informatics, Ausgabe 24/1, 2020, Seite(n) 4-13, ISSN 2168-2194
Herausgeber:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/jbhi.2019.2949888
Autoren:
Marco Viceconti; Luca Emili; Payman Afshari; Eulalie Courcelles; Cristina Curreli; Nele Famaey; Liesbet Geris; Marc Horner; Maria Cristina Jori; Alexander Kulesza; Axel Loewe; Michael Neidlin; Markus Reiterer; Cécile F. Rousseau; Giulia Russo; Simon J. Sonntag; Emmanuelle M. Voisin; Francesco Pappalardo
Veröffentlicht in:
IEEE Journal of Biomedical and Health Informatics, Ausgabe 25:10, 2021, Seite(n) 3977-3982, ISSN 2168-2194
Herausgeber:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/jbhi.2021.3090469
Autoren:
Giulia Russo, Marzio Pennisi, Epifanio Fichera, Santo Motta, Giuseppina Raciti, Marco Viceconti, Francesco Pappalardo
Veröffentlicht in:
BMC Bioinformatics, Ausgabe 21/S17, 2020, ISSN 1471-2105
Herausgeber:
BioMed Central
DOI:
10.1186/s12859-020-03872-0
Autoren:
Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Miguel A. Juarez, Pere-Joan Cardona, Santo Motta, Kenneth B. Walker, Epifanio Fichera, Marco Viceconti, Francesco Pappalardo
Veröffentlicht in:
BMC Bioinformatics, Ausgabe 21/S17, 2020, ISSN 1471-2105
Herausgeber:
BioMed Central
DOI:
10.1186/s12859-020-03762-5
Autoren:
Francesco Pappalardo, Marzio Pennisi, Pedro A. Reche, Giulia Russo
Veröffentlicht in:
BMC Bioinformatics, Ausgabe 20/S6, 2019, ISSN 1471-2105
Herausgeber:
BioMed Central
DOI:
10.1186/s12859-019-3239-x
Autoren:
Francesco Pappalardo, Giulia Russo, Pedro A. Reche
Veröffentlicht in:
BMC Bioinformatics, Ausgabe 21/S17, 2020, ISSN 1471-2105
Herausgeber:
BioMed Central
DOI:
10.1186/s12859-020-03897-5
Autoren:
Francesco Pappalardo, Giulia Russo, Marzio Pennisi, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Santo Motta, Epifanio Fichera
Veröffentlicht in:
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018, Seite(n) 1386-1392, ISBN 978-1-5386-5488-0
Herausgeber:
IEEE
DOI:
10.1109/bibm.2018.8621355
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