Category: news

In the past few days, we had the pleasure of hosting the second progress meeting of the Horizon Europe REDDIE project at our Department of Information Engineering. Over two days of discussions, we reviewed progress across work packages, shared insights on emerging results, and conducted workshops on key challenges within each WP.
It was a fantastic opportunity to welcome our international partners, exchange ideas in person, and strengthen collaborations—while also enjoying good food and the first signs of spring in Padua! 😊

On 20-21 February 2025, the Istituto Ortopedico Rizzoli in Bologna hosted the 2nd Annual Meeting of the DARE – Digital lifelong prevention initiative – Spoke 3 on Digitally Enabled Secondary and Tertiary Prevention. The event gathered researchers, clinicians, and experts working on innovative digital health solutions to enhance disease prevention and early diagnosis.
Our researcher Enrico Longato presented our latest work within Work Package 3 (WP3), focusing on the development of AI-driven digital tools for kidney disease prediction in diabetes. These tools leverage data and computational models to support personalised and data-driven healthcare approaches, aligning with the broader goals of the DARE Initiative.
We are proud to contribute to this important initiative and to collaborate with a multidisciplinary network of researchers committed to advancing digital health. The meeting provided a valuable opportunity for discussions, knowledge exchange, and new perspectives on integrating AI into clinical workflows.
We look forward to further developments and continued collaboration within the DARE Initiative.

On 15 January 2025, the Aula Magna of the Department of Information Engineering hosted a meeting dedicated to the research efforts of UNIPD within Spokes 2 and 3 of the DARE (Digital Life-Long Prevention) initiative.

During the event, Professor Barbara Di Camillo presented the pilot project in which our research group is actively involved, titled “Digitally-Empowered Management of Type 2 Diabetes: From the Diagnosis to the Prediction of Complications.”

It was a privilege to contribute to this gathering, which highlighted the exceptional quality and scientific relevance of the ongoing projects within the DARE initiative. The exchange of ideas and insights reaffirmed the initiative’s potential to make significant strides in digital health research.

Last week, our PhD student Elena Marinello presented her research titled “Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients” at the Artificial Intelligence and Computational Methods for Public Health and the Environment workshop organised as part of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024.
This study, conducted as part of the H2020 BRAINTEASER project, investigates how environmental factors, including pollution and weather patterns, contribute to predicting imminent relapses in multiple sclerosis. By leveraging clinical and environmental data from the week preceding potential relapse events, this research highlights the role of machine learning in advancing personalised medicine for MS patients.

Last week, our post-doc Alessandro Guazzo attended the 10th International Conference on Machine Learning, Optimization, and Data Science held in Castiglione della Pescaia, Italy. 

Alessandro gave a presentation on his work “Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data” developed within the BRAINTEASER project, focusing on improving the prediction of multiple sclerosis worsening. His talk highlighted innovative stratification-based variable extraction approaches, which he had the opportunity to study during his recent visit to Carnegie Mellon University.