Two Research Contributions from Our Group Presented at ATTD 2026

Last week, our research group had the opportunity to take part in the 19th International Conference on Advanced Technologies and Treatments for Diabetes (ATTD 2026), held in the fascinating city of Barcelona, Spain.

During the conference, our PhD student Sara Poletto presented two research contributions developed within the framework of the European project REDDIE, which we are proud to be part of.

Advancing research in diabetes is essential to improve prevention, management, and quality of life for millions of people worldwide, and we are excited to contribute to this collective effort.

Our Research Group at AI@DEI 2025 – From Research to Industry

Last week our research group took part in AI@DEI 2025 – From Research to Industry, the annual event organised by the Department of Information Engineering (DEI) of the University of Padova and the Regional Innovation Network IMPROVENET, with the support of UniSMART.
The initiative aims to strengthen the dialogue between academia and industry, showcasing concrete applications of Artificial Intelligence across a wide range of sectors, from computer vision to predictive maintenance, industrial decision-making, robotics, automation, and conversational technologies.

As part of the programme, our researcher Erica Tavazzi delivered the presentation: “Fondo Italiano per le Scienze Applicate: AI e diagnostica avanzata nella partnership DEI–AB Analitica contro l’antibiotico resistenza”.

The talk, prepared together with Dino Paladin (AB Analitica), introduced READY – Responsive Early Antibiotic resistance Detection and therapY, the project funded by the Italian Applied Sciences Fund (FISA) and launched this year. READY focuses on integrating AI, automation, and advanced diagnostics to support the early detection of antimicrobial resistance.

We warmly thank DEI, IMPROVENET, and UniSMART for organising the event, as well as all participating companies and colleagues for the productive exchange of perspectives.
A special acknowledgement goes to Sara Brugnerotto, whose photos beautifully captured the atmosphere of the day.

Faggioli G, Menotti L, Marchesin S, Trescato I, Ahmad L, Aidos H, Alungulese AL, Bellazzi R, Bergamaschi R, Birolo G, Bosoni P, Cabrera-Umpierrez MF, Cavalla P, Chiò A, Dagliati A, de Carvalho M, Fariselli P, García Domínguez JM, Gonzalez-Martinez S, Gromicho M, Guazzo A, Jovanovic A, Kostic B, Longato E, Madeira S, Manera U, Muñoz Blanco JL, Tavazzi El, Tavazzi E, Trasobares Iglesias E, Uroševic V, Di Nunzio GM, Silvello G, Di Camillo B, Ferro N, and Vettoretti M. The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling, Sci. Data, 2025

Systems Biology and Bioinformatics Group
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