Category: news

Last week, our group attended the 23^rd International Conference on Artificial Intelligence in Medicine (AIME 2025) in Pavia, Italy.

It was a fantastic opportunity to follow high-quality presentations and engage with leading researchers and professionals from across the AI and healthcare communities.

We are proud to share that we contributed to the scientific program with four research papers:

• Davide Dei Cas held a short oral presentation entitled “Exploring the Use of Projecting Conflicting Gradients in Multi-Task Neural Networks with an Application to Amyotrophic Lateral Sclerosis.”

• Erica Tavazzi co-authored the poster “Towards Distributed Process Discovery in Healthcare: Testing and Proving the Feasibility of the Federated Alpha+ Algorithm.”

• At the 2^nd International Workshop on Process Mining Applications for Healthcare (PM4H 2025), our group was also involved in two contributions: “Predicting Next Clinical Event in Amyotrophic Lateral Sclerosis using Process-Oriented Machine Learning Models: a Case Study” and “Federated I-PALIA: Privacy-By-Design Distributed Process Discovery for Duplicated Activities in Healthcare” (🏆Best Paper Award – PM4H 2025).

We sincerely thank the conference organizers for hosting this event and for giving us the opportunity to share our research.

On March 20th, 2025, we proudly celebrated the achievements of Isotta Trescato, Giulia Cesaro, and Francesca Longhin, who successfully defended their Ph.D. theses in Information Engineering at the University of Padua. 🎉

Each of them conducted outstanding research on cutting-edge topics in computational medicine and bioinformatics, contributing valuable knowledge and tools to their respective fields.

🔬 Giulia Cesaro focused her PhD research on the development of computational methods to infer cell-cell communication using single-cell RNA sequencing data. Her work allows for a deeper understanding of how cells interact with each other in complex tissues—knowledge that is critical for interpreting biological processes such as development, immune response, and disease progression.

🧬 Francesca Longhin worked on enhancing variant calling and interpretation pipelines through data-driven in-silico simulations and artificial intelligence techniques. Her project improves the accuracy and reliability of genetic variant analysis, a fundamental aspect of personalized medicine and genomic diagnostics.

📊 Isotta Trescato dedicated her thesis to transparent artificial intelligence approaches for modeling disease progression using real-world clinical registry data. Her goal was to build predictive models that are not only accurate but also interpretable by clinicians—an essential requirement for integrating AI into real-world healthcare settings.

Last week, Giacomo attended the 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (March 10-12, 2025 – Turin, Italy).

It was a great opportunity to attend insightful talks and engage in discussions about the present and future of high-performance computing!

We are also proud to share that our work, “quickSparseM: a library for memory- and time-efficient computation on large, sparse matrices with application to omics data” by Giacomo Baruzzo, Giulia Cesaro, and Barbara Di Camillo, received the Best Paper Award in the “High Performance Computing in Modelling and Simulation” session. The article will soon be available in the conference proceedings on the IEEE website (https://www.computer.org/csdl/proceedings/1000543).

We extend our sincere thanks to the conference and session organizers for hosting this event and giving us the opportunity to present our research!