Three New PhD Graduates in Our Research Group!

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. šŸŽ‰

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

šŸ”¬ 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 tissuesā€”knowledge that is critical for interpreting biological processes such as development, immune response, and disease progression.

šŸ§¬ 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.

šŸ“Š 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 cliniciansā€”an essential requirement for integrating AI into real-world healthcare settings.

2nd progress meeting of the REDDIE project @UNIPD

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 collaborationsā€”while also enjoying good food and the first signs of spring in Padua! šŸ˜Š

2nd Annual Meeting of the DARE Initiative

On 20-21 February 2025, the Istituto Ortopedico Rizzoli in Bologna hosted the 2nd Annual Meeting of the DARE – Digital lifelong prevention initiative ā€“ 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.

Building Bridges Between Engineering and Medicine Through AI

On Tuesday, 21 January 2025, the Aula Morgagni at the Policlinico Universitario of Padua hosted the event “Introduction to Artificial Intelligence in Medicine.” Organised by the Departments of Information Engineering (DEI) and Medicine (DIMED), the meeting brought together experts and researchers to discuss the transformative role of AI in healthcare.

The session was opened by Professors Gaudenzio Meneghesso, Director of the DEI, and Paolo Simioni, Director of the DIMED, who welcomed attendees and highlighted the interdisciplinary collaboration driving AI innovation.

The scientific programme included a series of engaging presentations:

  • Introduction to Machine Learning by Prof. Barbara Di Camillo (DEI) provided a comprehensive overview of the fundamentals of machine learning and its applications in medical research.
  • Applications to Clinical Records by Dr. Erica Tavazzi (DEI), a researcher from our group, explored AI-driven approaches to extracting insights from patient data.
  • Applications to Imaging Data by Dr. Marco Castellaro (DEI) demonstrated how AI enhances diagnostic imaging techniques.
  • Large Language Models and Generative AI and Chatbots were expertly discussed by Prof. Giorgio Satta (DEI), who highlighted their potential to revolutionise communication and support activities.
  • Data Representation and Knowledge in Generative AI by Prof. Nicola Ferro (DEI) delved into the technical challenges and opportunities in knowledge-based systems.

The event concluded with a dynamic Q&A session, fostering lively discussions among attendees and speakers.

Showcasing Progress in Digital Health Research at the DARE Initiative Meeting

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.

Impactful research contributions from our PhD Students at Young Minds at Work Conference

We are proud to announce that five of our PhD students recently presented their innovative research during the 2nd edition of the “Young Minds at Work: Blending Biomedical Sciences and Bioinformatics” conference. Their contributions included two oral presentations and three poster presentations, showcasing the depth and breadth of their scientific work.

Oral Presentations:

  • Matteo Baldan: “Simulation of bacteria interaction networks: from topology to species abundance.”
  • Gaia Tussardi: “Addressing the Biological Interpretation of High-Dimensional Cell-Cell Communication Data from Single Cell Transcriptomics Through an Interactive Web Application.”

Poster Presentations:

  • Piero Mariotto: “Inferring microbial ecological networks from metagenomics data, when should we trust the results?”
  • Mikele Milia: “INTERACT: A novel approach for continuous Genotype-Phenotype association analysis.”
  • Matteo Andriolo: “Using Archetypal Analysis for scRNAseq data clustering and trajectory identification.”

This conference offered an exceptional platform for our students to share their insights, gain valuable feedback, and engage with the broader scientific community working at the intersection of biomedical sciences and bioinformatics.

Congratulations to our team for their outstanding contributions and impactful research presentations! Letā€™s keep pushing the boundaries of scientific discovery.

Unveiling the Impact of Pollutants and Weather Patterns on Relapses in Multiple Sclerosis: Insights from BRAINTEASER Presented at IEEE BIBM 2024

Last week, our PhD studentĀ Elena MarinelloĀ presented her research titledĀ “Machine Learning Models Highlight the Impact of Pollution and Weather Patterns on Relapse Occurrence in Multiple Sclerosis Patients”Ā at theĀ 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 theĀ 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.

University meets Industry: AI @ DEI

On November 20 and 21, 2024, the Department of Information Engineering of the University of Padova, in collaboration with Fondazione UniSMART, organized two events on Artificial Intelligence: ā€œAI@DEI for Industryā€ and ā€œAI@DEI for Biomeds and Healthā€.

The events focused on innovative topics such as Generative AI, Data Analytics, AI in biomedical research and healthcare, Bioinformatics, and Health Informatics, showcasing practical applications and future perspectives for collaboration between University and Industry.

During the event, our researcher Giacomo Baruzzo presented the AI activities in Bioinformatics and Health Informatics carried out by the computer engineering group, including some research projects conducted by our research group.

BRAINTEASER Research Highlighted at LOD2024

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.Ā 

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.Ā 

Systems Biology and Bioinformatics Group
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