Longitudinal Missing Data Imputation for Predicting Disability Stage of Patients with Multiple Sclerosis - Mahin Vazifehdan; Pietro Bosoni; Daniele Pala; Eleonora Tavazzi; Roberto Bergamaschi; Riccardo Bellazzi; Arianna Dagliati (CoRR, 2025)

Forecasting glucose values for patients with type 1 diabetes using heart rate data - Raffaele Giancotti; Pietro Bosoni; Patrizia Vizza; Giuseppe Tradigo; Agostino Gnasso; Pietro Hiram Guzzi; Riccardo Bellazzi; Concetta Irace; Pierangelo Veltri (Comput. Methods Programs Biomed., 2024)

Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities - Daniele Pala; Giorgia Petrini; Pietro Bosoni; Cristiana Larizza; Silvana Quaglini; Giordano Lanzola (Int. J. Medical Informatics, 2024)

Assessing a Personalized, Hybrid, and Generic Approach for Glucose Prediction in Type 1 Diabetes - Pietro Bosoni; Morten Hasselstrøm Jensen; Riccardo Bellazzi; Simon Lebech Cichosz (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients - Elena Marinello; Erica Tavazzi; Enrico Longato; Pietro Bosoni; Arianna Dagliati; Mahin Vazifehdan; Riccardo Bellazzi; Isotta Trescato; Alessandro Guazzo; Martina Vettoretti; Eleonora Tavazzi; Lara Ahmad; et al. (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Land Use Regression on Interpolated Urban Graphs to Assess Personal Exposure to Air Pollution - Daniele Pala; Giacomo Zagami; Pietro Bosoni; Mahin Vazifehdan; Riccardo Bellazzi; Arianna Dagliati (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

NutriA: a Responsive Web App to Monitor Nutrition and Clinical Outcomes in Inflammatory Bowel Disease Patients - Giorgia Petrini; Daniele Pala; Marco Vincenzo Lenti; Federica Lepore; Pietro Bosoni; Silvana Quaglini; Giordano Lanzola (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024 - 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; et al. (Experimental IR Meets Multilinguality, Multimodality, and Interaction - 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9-12, 2024, Proceedings, Part II, 2024)

Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge - 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; et al. (Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024, 2024)

Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories - Pietro Bosoni; Mahin Vazifehdan; Daniele Pala; Eleonora Tavazzi; Roberto Bergamaschi; Riccardo Bellazzi; Arianna Dagliati (Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024, 2024)

Continuous Markov Models for Analyzing the Effect of Environmental Personal Exposure on Multiple Sclerosis Progression - Pietro Bosoni; Eleonora Tavazzi; Riccardo Bellazzi; Roberto Bergamaschi; Arianna Dagliati (pHealth 2024 - Proceedings of the 20th International Conference on Wearable Micro and Nano Technologies for Personalized Health - Rende, Italy, 27-29 May 2024, 2024)

Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression - Elena Marinello; Erica Tavazzi; Enrico Longato; Pietro Bosoni; Arianna Dagliati; Mahin Vazifehdan; Riccardo Bellazzi; Isotta Trescato; Alessandro Guazzo; Martina Vettoretti; Eleonora Tavazzi; Lara Ahmad; et al. (CoRR, 2024)

Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries - Andrea Lanubile; Pietro Bosoni; Gabriele Pozzato; Anirudh Allam; Matteo Acquarone; Simona Onori (CoRR, 2024)

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review - 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; et al. (Artif. Intell. Medicine, 2023)

V-care: An application to support lifestyle improvement in children with obesity - Cristiana Larizza; Pietro Bosoni; Silvana Quaglini; Michelangelo Chasseur; Valentina Bevolo; Gianvincenzo Zuccotti; Valeria Calcaterra (Int. J. Medical Informatics, 2023)

Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis - Tommaso Mario Buonocore; Pietro Bosoni; Giovanna Nicora; Mahin Vazifehdan; Riccardo Bellazzi; Enea Parimbelli; Arianna Dagliati (Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023, 2023)

Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform - Elisa Salvi; Pietro Bosoni; Valentina Tibollo; Lisanne Kruijver; Valeria Calcaterra; Lucia Sacchi; Riccardo Bellazzi; Cristiana Larizza (Sensors, 2020)

Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data - Pietro Bosoni; Marco Meccariello; Valeria Calcaterra; Cristiana Larizza; Lucia Sacchi; Riccardo Bellazzi (Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings, 2020)

Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction - Awad Alsaid Alyousef; Svetlana I. Nihtyanova; Christopher P. Denton; Pietro Bosoni; Riccardo Bellazzi; Allan Tucker (32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019, Cordoba, Spain, June 5-7, 2019, 2019)

Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease - Awad Alsaid Alyousef; Svetlana I. Nihtyanova; Christopher P. Denton; Pietro Bosoni; Riccardo Bellazzi; Allan Tucker (J. Heal. Informatics Res., 2018)

Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses - Pietro Bosoni; Allan Tucker; Riccardo Bellazzi; Svetlana I. Nihtyanova; Christopher P. Denton (29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016, Belfast, UK and Dublin, Ireland, June 20-24, 2016, 2016)