The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling.

Erica Tavazzi https://orcid.org/0000-0001-6188-6413 https://www.wikidata.org/entity/Q58879378

Mahin Vazifehdan Pietro Bosoni Erica Tavazzi Enrico Longato Eleonora Tavazzi Roberto Bergamaschi Barbara Di Camillo Ameen Abu-Hanna Riccardo Bellazzi Arianna Dagliati The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling. 2026 106295 210 Int. J. Medical Informatics https://doi.org/10.1016/j.ijmedinf.2026.106295 db/journals/ijmi/ijmi210.html#VazifehdanBTLTBCABD26 streams/journals/ijmi

Davide Dei Cas Enrico Longato Erica Tavazzi Umberto Manera Adriano Chiò Marta Gromicho Inês Alves Mamede de Carvalho Barbara Di Camillo Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis. 110-119 2025 AIME (1) https://doi.org/10.1007/978-3-031-95838-0_11 conf/aime/2025-1 db/conf/aime/aime2025-1.html#CasLTMCGACC25 streams/conf/aime Leonardo Nucciarelli Roberto Gatta Andrada Mihaela Tudor Erica Tavazzi Giovanni Arcuri Mauro Vallati Gema Ibáñez-Sánchez Zoe Valero-Ramon Carlos Fernández-Llatas Andrea Damiani Towards Distributed Process Discovery in Healthcare: Testing and Proving the Feasibility of the Federated Alpha+ Algorithm. 294-299 2025 AIME (2) https://doi.org/10.1007/978-3-031-95841-0_55 conf/aime/2025-2 db/conf/aime/aime2025-2.html#NucciarelliGTTAVIVFD25 streams/conf/aime Enrico Longato Erica Tavazzi Anna Milani Elena Marinello Pietro Bosoni Arianna Dagliati Mahin Vazifehdan Riccardo Bellazzi Isotta Trescato Alessandro Guazzo Martina Vettoretti Eleonora Tavazzi Lara Ahmad Roberto Bergamaschi Paola Cavalla Umberto Manera Adriano Chiò Barbara Di Camillo Deep Learning Model Predicts Relapse Occurrence in Multiple Sclerosis Via Sequences of Environmental Data. 6715-6722 2025 BIBM https://doi.org/10.1109/BIBM66473.2025.11357123 conf/bibm/2025 db/conf/bibm/bibm2025.html#LongatoTMMBDVBT25 Sara Poletto Noemi Gonzato Erica Tavazzi Enrico Longato Amanda Adler Mari-Anne Gall Matthias Müllenborn Barbara Di Camillo Martina Vettoretti A Dynamic Bayesian Network Approach for Generating Synthetic Longitudinal Clinical Data: A Case Study on Long-Term Diabetes Outcomes. 6767-6773 2025 BIBM https://doi.org/10.1109/BIBM66473.2025.11356456 conf/bibm/2025 db/conf/bibm/bibm2025.html#PolettoGTLAGMCV25 Leonardo Nucciarelli Benedetta Gottardelli Andrada Mihaela Tudor Mauro Vallati Erica Tavazzi Stefania Orini Roberto Gatta Giovanni Arcuri Andrea Damiani Privacy-by-design GEN-RWD Sandbox for Distributed Multicentric Data Analysis in Healthcare: The Proxy Module. 471-477 2025 ICHI https://doi.org/10.1109/ICHI64645.2025.00061 conf/ichi/2025 db/conf/ichi/ichi2025.html#NucciarelliGTVT25 Martina Vettoretti Erica Tavazzi Enrico Longato Giacomo Baruzzo Massimo Bellato Computational Intelligence Methods for Bioinformatics and Biostatistics - 18th International Meeting, CIBB 2023, Padua, Italy, September 6-8, 2023, Revised Selected Papers CIBB Springer 2025 Lecture Notes in Computer Science 14513 978-3-031-90713-5 978-3-031-90714-2 https://doi.org/10.1007/978-3-031-90714-2 db/conf/cibb/cibb2023.html Guglielmo Faggioli Stefano Marchesin 0001 Laura Menotti Helena Aidos Roberto Bergamaschi Giovanni Birolo Pietro Bosoni Paola Cavalla Adriano Chiò Arianna Dagliati Mamede de Carvalho Giorgio Maria Di Nunzio Piero Fariselli Jose Manuel García Dominguez Marta Gromicho Alessandro Guazzo Enrico Longato Sara C. Madeira Umberto Manera Gianmaria Silvello Eleonora Tavazzi Erica Tavazzi Isotta Trescato Martina Vettoretti Barbara Di Camillo Nicola Ferro 0001 BRAINTEASER ALS and MS Datasets. 2025 February https://doi.org/10.5281/zenodo.14857741 Zenodo streams/repo/zenodo data/11/FaggioliMMABBBCCDCNFDGG24a

Benedetta Gottardelli Roberto Gatta Leonardo Nucciarelli Andrada Mihaela Tudor Erica Tavazzi Mauro Vallati Stefania Orini Nicoletta Di Giorgi Andrea Damiani GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics. 170 2024 December 24 BMC Medical Informatics Decis. Mak. 1 https://doi.org/10.1186/s12911-024-02549-5 db/journals/midm/midm24.html#GottardelliGNTTVOGD24

Alessandro Guazzo Michele Atzeni Elena Idi Isotta Trescato Erica Tavazzi Enrico Longato Umberto Manera Adriano Chiò Marta Gromicho Inês Alves Mamede de Carvalho Martina Vettoretti Barbara Di Camillo Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study. 318 2024 December 24 BMC Medical Informatics Decis. Mak. 1 https://doi.org/10.1186/s12911-024-02719-5 db/journals/midm/midm24.html#GuazzoAITTLMCGACVC24 streams/journals/midm

Isotta Trescato Erica Tavazzi Martina Vettoretti Roberto Gatta Rosario Vasta Adriano Chiò Barbara Di Camillo DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling. 7553-7564 2024 December 28 IEEE J. Biomed. Health Informatics 12 https://doi.org/10.1109/JBHI.2024.3453602 db/journals/titb/titb28.html#TrescatoTVGVCC24 streams/journals/titb

Elena Marinello Erica Tavazzi Enrico Longato Pietro Bosoni Arianna Dagliati Mahin Vazifehdan Riccardo Bellazzi Isotta Trescato Alessandro Guazzo Martina Vettoretti Eleonora Tavazzi Lara Ahmad Roberto Bergamaschi Paola Cavalla Umberto Manera Adriano Chiò Barbara Di Camillo Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients. 6161-6168 2024 BIBM https://doi.org/10.1109/BIBM62325.2024.10822214 conf/bibm/2024 db/conf/bibm/bibm2024.html#MarinelloTLBDVB24 Giovanni Birolo Pietro Bosoni Guglielmo Faggioli Helena Aidos Roberto Bergamaschi Paola Cavalla Adriano Chiò Arianna Dagliati Mamede de Carvalho Giorgio Maria Di Nunzio Piero Fariselli Jose Manuel García Dominguez Marta Gromicho Alessandro Guazzo Enrico Longato Sara C. Madeira Umberto Manera Stefano Marchesin 0001 Laura Menotti Gianmaria Silvello Eleonora Tavazzi Erica Tavazzi Isotta Trescato Martina Vettoretti Barbara Di Camillo Nicola Ferro 0001 Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. 118-139 2024 CLEF (2) https://doi.org/10.1007/978-3-031-71908-0_6 conf/clef/2024-2 db/conf/clef/clef2024-2.html#BiroloBFABCCDCNFDGGLMMM24 streams/conf/clef Giovanni Birolo Pietro Bosoni Guglielmo Faggioli Helena Aidos Roberto Bergamaschi Paola Cavalla Adriano Chiò Arianna Dagliati Mamede de Carvalho Giorgio Maria Di Nunzio Piero Fariselli Jose Manuel García Dominguez Marta Gromicho Alessandro Guazzo Enrico Longato Sara C. Madeira Umberto Manera Stefano Marchesin 0001 Laura Menotti Gianmaria Silvello Eleonora Tavazzi Erica Tavazzi Isotta Trescato Martina Vettoretti Barbara Di Camillo Nicola Ferro 0001 Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. 1312-1331 2024 CLEF (Working Notes) https://ceur-ws.org/Vol-3740/paper-122.pdf conf/clef/2024w db/conf/clef/clef2024w.html#BiroloBFABCCDCN24 Elena Marinello Alessandro Guazzo Enrico Longato Erica Tavazzi Isotta Trescato Martina Vettoretti Barbara Di Camillo Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study. 1353-1365 2024 CLEF (Working Notes) https://ceur-ws.org/Vol-3740/paper-125.pdf conf/clef/2024w db/conf/clef/clef2024w.html#MarinelloGLTTVC24 Alessandro Guazzo Enrico Longato Isotta Trescato Erica Tavazzi Adriano Chiò Umberto Manera Grazia Zocco Paola Cavalla Marco Vercellino Lara Ahmad Eleonora Tavazzi Roberto Bergamaschi Rema Padman Barbara Di Camillo Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data. 39-54 2024 LOD (2) https://doi.org/10.1007/978-3-031-82484-5_4 conf/mod/2024-2 db/conf/mod/lod2024-2.html#GuazzoLTTCMZCVATBPC24 streams/conf/mod Isotta Trescato Alessandro Guazzo Enrico Longato Erica Tavazzi Martina Vettoretti Umberto Manera Adriano Chiò Marta Gromicho Inês Alves Mamede de Carvalho Barbara Di Camillo Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability. 420-425 2024 RTSI https://doi.org/10.1109/RTSI61910.2024.10761442 conf/rtsi/2024 db/conf/rtsi/rtsi2024.html#TrescatoGLTVMCG24 Giovanni Birolo Pietro Bosoni Guglielmo Faggioli Helena Aidos Roberto Bergamaschi Paola Cavalla Adriano Chiò Arianna Dagliati Mamede de Carvalho Giorgio Maria Di Nunzio Piero Fariselli Jose Manuel García Dominguez Marta Gromicho Alessandro Guazzo Enrico Longato Sara C. Madeira Umberto Manera Stefano Marchesin 0001 Laura Menotti Gianmaria Silvello Eleonora Tavazzi Erica Tavazzi Isotta Trescato Martina Vettoretti Barbara Di Camillo Nicola Ferro 0001 iDPP@CLEF 2024 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. 2024 November https://doi.org/10.5281/zenodo.14030410 Zenodo streams/repo/zenodo Guglielmo Faggioli Stefano Marchesin 0001 Laura Menotti Helena Aidos Roberto Bergamaschi Giovanni Birolo Pietro Bosoni Paola Cavalla Adriano Chiò Arianna Dagliati Mamede de Carvalho Giorgio Maria Di Nunzio Piero Fariselli Jose Manuel García Dominguez Marta Gromicho Alessandro Guazzo Enrico Longato Sara C. Madeira Umberto Manera Gianmaria Silvello Eleonora Tavazzi Erica Tavazzi Isotta Trescato Martina Vettoretti Barbara Di Camillo Nicola Ferro 0001 BRAINTEASER ALS and MS Datasets. 2024 July https://doi.org/10.5281/zenodo.12789962 Zenodo streams/repo/zenodo data/11/FaggioliMMABBBCCDCNFDGG24a

Erica Tavazzi Enrico Longato Martina Vettoretti Helena Aidos Isotta Trescato Chiara Roversi Andreia S. Martins Eduardo N. Castanho Ruben Branco Diogo F. Soares Alessandro Guazzo Giovanni Birolo Daniele Pala Pietro Bosoni Adriano Chiò Umberto Manera Mamede de Carvalho Bruno Miranda Marta Gromicho Inês Alves Riccardo Bellazzi Arianna Dagliati Piero Fariselli Sara C. Madeira Barbara Di Camillo Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. 102588 2023 August 142 Artif. Intell. Medicine https://doi.org/10.1016/j.artmed.2023.102588 db/journals/artmed/artmed142.html#TavazziLVATRMCBSGBPBCMCMGABDFMC23

Enrico Longato Erica Tavazzi Adriano Chiò Gabriele Mora Giovanni Sparacino Barbara Di Camillo Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis. 140-150 2023 AIME https://doi.org/10.1007/978-3-031-34344-5_18 https://www.wikidata.org/entity/Q133829460 conf/aime/2023 db/conf/aime/aime2023.html#LongatoTCMSC23 Guglielmo Faggioli Alessandro Guazzo Stefano Marchesin 0001 Laura Menotti Isotta Trescato Helena Aidos Roberto Bergamaschi Giovanni Birolo Paola Cavalla Adriano Chiò Arianna Dagliati Mamede de Carvalho Giorgio Maria Di Nunzio Piero Fariselli Jose Manuel García Dominguez Marta Gromicho Enrico Longato Sara C. Madeira Umberto Manera Gianmaria Silvello Eleonora Tavazzi Erica Tavazzi Martina Vettoretti Barbara Di Camillo Nicola Ferro 0001 Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. 343-369 2023 CLEF https://doi.org/10.1007/978-3-031-42448-9_24 conf/clef/2023 db/conf/clef/clef2023.html#FaggioliGMMTABBCCDCNFDGLMMSTTVCF23 Guglielmo Faggioli Alessandro Guazzo Stefano Marchesin 0001 Laura Menotti Isotta Trescato Helena Aidos Roberto Bergamaschi Giovanni Birolo Paola Cavalla Adriano Chiò Arianna Dagliati Mamede de Carvalho Giorgio Maria Di Nunzio Piero Fariselli Jose Manuel García Dominguez Marta Gromicho Enrico Longato Sara C. Madeira Umberto Manera Gianmaria Silvello Eleonora Tavazzi Erica Tavazzi Martina Vettoretti Barbara Di Camillo Nicola Ferro 0001 Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. 1123-1164 2023 CLEF (Working Notes) https://ceur-ws.org/Vol-3497/paper-095.pdf conf/clef/2023w db/conf/clef/clef2023w.html#FaggioliG0MTABB23 Alessandro Guazzo Isotta Trescato Enrico Longato Erica Tavazzi Martina Vettoretti Barbara Di Camillo Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression. 1219-1232 2023 CLEF (Working Notes) https://ceur-ws.org/Vol-3497/paper-100.pdf conf/clef/2023w db/conf/clef/clef2023w.html#GuazzoTLTVC23 Erica Tavazzi Chiara Roversi Martina Vettoretti Barbara Di Camillo Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks. 369-377 2023 PKDD/ECML Workshops (4) https://doi.org/10.1007/978-3-031-74640-6_30 conf/pkdd/2023-w4 db/conf/pkdd/pkdd2023-w4.html#TavazziRVC23 Guglielmo Faggioli Alessandro Guazzo Stefano Marchesin 0001 Laura Menotti Isotta Trescato Helena Aidos Roberto Bergamaschi Giovanni Birolo Paola Cavalla Adriano Chiò Arianna Dagliati Mamede de Carvalho Giorgio Maria Di Nunzio Piero Fariselli Jose Manuel García Dominguez Marta Gromicho Enrico Longato Sara C. Madeira Umberto Manera Gianmaria Silvello Eleonora Tavazzi Erica Tavazzi Martina Vettoretti Barbara Di Camillo Nicola Ferro 0001 iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. 2023 November https://doi.org/10.5281/zenodo.10210125 Zenodo streams/repo/zenodo Guglielmo Faggioli Alessandro Guazzo Stefano Marchesin 0001 Laura Menotti Isotta Trescato Helena Aidos Roberto Bergamaschi Giovanni Birolo Paola Cavalla Adriano Chiò Arianna Dagliati Mamede de Carvalho Giorgio Maria Di Nunzio Piero Fariselli Jose Manuel García Dominguez Marta Gromicho Enrico Longato Sara C. Madeira Umberto Manera Gianmaria Silvello Eleonora Tavazzi Erica Tavazzi Marta Vettoretti Barbara Di Camillo Nicola Ferro 0001 BRAINTEASER ALS and MS Datasets. 2023 June https://doi.org/10.5281/zenodo.8083181 Zenodo streams/repo/zenodo data/11/FaggioliMMABBBCCDCNFDGG24a

Erica Tavazzi Roberto Gatta Mauro Vallati Stefano Cotti Piccinelli Massimiliano Filosto Alessandro Padovani Maurizio Castellano Barbara Di Camillo Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis. 346 2022 November 22-S BMC Medical Informatics Decis. Mak. 6 https://doi.org/10.1186/s12911-023-02113-7 db/journals/midm/midm22S.html#TavazziGVPFPCC22

Davide Chicco Luca Oneto Erica Tavazzi Eleven quick tips for data cleaning and feature engineering. 1010718 2022 December 18 PLoS Comput. Biol. 12 https://doi.org/10.1371/journal.pcbi.1010718 https://www.wikidata.org/entity/Q117012146 db/journals/ploscb/ploscb18.html#ChiccoOT22

Alessandro Guazzo Isotta Trescato Enrico Longato Enidia Hazizaj Dennis Dosso Guglielmo Faggioli Giorgio Maria Di Nunzio Gianmaria Silvello Martina Vettoretti Erica Tavazzi Chiara Roversi Piero Fariselli Sara C. Madeira Mamede de Carvalho Marta Gromicho Adriano Chiò Umberto Manera Arianna Dagliati Giovanni Birolo Helena Aidos Barbara Di Camillo Nicola Ferro 0001 Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. 395-422 2022 CLEF https://doi.org/10.1007/978-3-031-13643-6_25 conf/clef/2022 db/conf/clef/clef2022.html#GuazzoTLHDFNSVT22a Alessandro Guazzo Isotta Trescato Enrico Longato Enidia Hazizaj Dennis Dosso Guglielmo Faggioli Giorgio Maria Di Nunzio Gianmaria Silvello Martina Vettoretti Erica Tavazzi Chiara Roversi Piero Fariselli Sara C. Madeira Mamede de Carvalho Marta Gromicho Adriano Chiò Umberto Manera Arianna Dagliati Giovanni Birolo Helena Aidos Barbara Di Camillo Nicola Ferro 0001 Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. 1130-1210 2022 CLEF (Working Notes) https://ceur-ws.org/Vol-3180/paper-88.pdf conf/clef/2022w db/conf/clef/clef2022w.html#GuazzoTLHDFNSVT22 Isotta Trescato Alessandro Guazzo Enrico Longato Enidia Hazizaj Chiara Roversi Erica Tavazzi Martina Vettoretti Barbara Di Camillo Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression. 1277-1293 2022 CLEF (Working Notes) https://ceur-ws.org/Vol-3180/paper-94.pdf conf/clef/2022w db/conf/clef/clef2022w.html#TrescatoGLHRTVC22 Davide Chicco Angelo M. Facchiano Erica Tavazzi Enrico Longato Martina Vettoretti Anna Bernasconi 0002 Simone Avesani Paolo Cazzaniga Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15-17, 2021, Revised Selected Papers CIBB Springer 2022 Lecture Notes in Computer Science 13483 978-3-031-20836-2 978-3-031-20837-9 https://doi.org/10.1007/978-3-031-20837-9 db/conf/cibb/cibb2021.html Chiara Roversi Erica Tavazzi Martina Vettoretti Barbara Di Camillo A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population. 1-4 2021 BHI https://doi.org/10.1109/BHI50953.2021.9508546 conf/bhi/2021 db/conf/bhi/bhi2021.html#RoversiTVC21

Sebastian Daberdaku Erica Tavazzi Barbara Di Camillo A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data. 174-188 2020 4 J. Heal. Informatics Res. 2 https://doi.org/10.1007/s41666-020-00069-1 db/journals/jhir/jhir4.html#DaberdakuTC20

Erica Tavazzi Sebastian Daberdaku Rosario Vasta Andrea Calvo Adriano Chiò Barbara Di Camillo Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach. 174 2020 20-S BMC Medical Informatics Decis. Mak. 5 https://doi.org/10.1186/s12911-020-01166-2 https://www.wikidata.org/entity/Q98579997 db/journals/midm/midm20S.html#TavazziDVCCC20

Erica Tavazzi Camille L. Gerard Olivier Michielin Alexandre Wicky Roberto Gatta Michel A. Cuendet A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset. 291-304 2020 ICPM Workshops https://doi.org/10.1007/978-3-030-72693-5_22 conf/icpm/2020w db/conf/icpm/icpm2020w.html#TavazziGMWGC20 Sebastian Daberdaku Erica Tavazzi Barbara Di Camillo Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data. 1-3 2019 ICHI https://doi.org/10.1109/ICHI.2019.8904624 conf/ichi/2019 db/conf/ichi/ichi2019.html#DaberdakuTC19 Ameen Abu-Hanna Amanda Adler Lara Ahmad Helena Aidos Inês Alves Giovanni Arcuri Michele Atzeni Simone Avesani Giacomo Baruzzo Massimo Bellato Riccardo Bellazzi Roberto Bergamaschi Anna Bernasconi 0002 Giovanni Birolo Pietro Bosoni Ruben Branco Andrea Calvo Barbara Di Camillo Mamede de Carvalho Davide Dei Cas Eduardo N. Castanho Maurizio Castellano Paola Cavalla Paolo Cazzaniga Davide Chicco Adriano Chiò Michel A. Cuendet Sebastian Daberdaku Arianna Dagliati Andrea Damiani Jose Manuel García Dominguez Dennis Dosso Angelo M. Facchiano Guglielmo Faggioli Piero Fariselli Carlos Fernández-Llatas Nicola Ferro 0001 Massimiliano Filosto Mari-Anne Gall Roberto Gatta Camille L. Gerard Nicoletta Di Giorgi Noemi Gonzato Benedetta Gottardelli Marta Gromicho Alessandro Guazzo Enidia Hazizaj Gema Ibáñez-Sánchez Elena Idi Enrico Longato Sara C. Madeira Umberto Manera Stefano Marchesin 0001 Elena Marinello Andreia S. Martins Laura Menotti Olivier Michielin Anna Milani Bruno Miranda Gabriele Mora Matthias Müllenborn Leonardo Nucciarelli Giorgio Maria Di Nunzio Luca Oneto Stefania Orini Rema Padman Alessandro Padovani Daniele Pala Stefano Cotti Piccinelli Sara Poletto Chiara Roversi Gianmaria Silvello Diogo F. Soares Giovanni Sparacino Eleonora Tavazzi Isotta Trescato Andrada Mihaela Tudor Zoe Valero-Ramon Mauro Vallati Rosario Vasta Mahin Vazifehdan Marco Vercellino Marta Vettoretti Martina Vettoretti Alexandre Wicky Grazia Zocco