AI in biomedical applications
We design machine learning models for biomedical data to identify biomarkers, predict outcomes, and support precision medicine, with a focus on neurology and neurodegenerative diseases.
Research
Research topics
Data visualization for complex systems
We combine AI and design to create interactive visualizations that make complexity interpretable across science and society
Machine Learning for Evolving Systems
We apply machine learning to analyze evolving systems across domains, uncovering patterns and trends in areas like academic research and sports
Ethical AI
We tackle key obstacles to reliable AI—limited reproducibility, intrinsic methodological constraints, and fragmented knowledge dissemination—that hinder its proper development and responsible use.
Research projects
Most recent research projects
PRIN-ExpAI-CC - Integrating network science and explainable AI to forecast the impact of climate change on infectious disease risk
Leading scientist Annalisa BarlaRole within the project Head of unitDuration 2023 - 2026Sponsors MUR | PRINRAISE - Robotics and AI for Socio-economic Empowerment
Theme Numerical Weather Prediction (NWP) models and AI to predict extreme weather eventsAn innovation ecosystem conceived by IIT, CNR and UNIGE, which is its proponentLeading scientist Annalisa BarlaRole within the project Head of unitDuration 2022 - 2025Sponsors MURTotal funding 120000000 €Funding for the Institution 751918 €Funding for the Unit 160000 €DECIPHER-ALS - Deconstruct and rebuild phenotypes: a multimodal approach toward personalized medicine in ALS
Role within the project Head of unitDuration 2019 - 2021Sponsors MUR | PRINFunding for the Unit 85000 €UniGeWeb - UniGe Web Data driven web redesign
Theme Data-driven methods for large-scale web redesignLeading scientist Annalisa BarlaRole within the project co-Principal InvestigatorDuration 2017 - 2020Sponsors UniGeTotal funding 550000 €
Publications
Most recent publications
| Title | Year | Authors | Venue |
|---|---|---|---|
| Artificial intelligence and network science as tools to illustrate academic research evolution in interdisciplinary fields: The case of Italian design | 2025 | Pretolesi Daniele; Stanzani Ilaria; Ravera Stefano; Vian Andrea; Barla Annalisa | PLOS ONE |
| NLP-based tools for localization of the epileptogenic zone in patients with drug-resistant focal epilepsy | 2024 | Mora Sara; Turrisi Rosanna; Chiarella Lorenzo; Consales Alessandro; Tassi Laura; Mai Roberto; Nobili Lino; Barla Annalisa; Arnulfo Gabriele | SCIENTIFIC REPORTS |
| AI-driven big web redesign: two case studies in Italian universities | 2024 | Vian Andrea; Pretolesi Daniele; Rampino Lucia; Barla Annalisa | Ital-Ia |
| Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices | 2024 | Turrisi R.; Verri A.; Barla A. | FRONTIERS IN COMPUTATIONAL NEUROSCIENCE |
| Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks | 2024 | Pretolesi Daniele; Garbarino Davide; Giampaoli Daniele; Vian Andrea; Barla Annalisa | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING |
Conferences and talks
MAPPING THE EVOLUTION OF DESIGN RESEARCH: A DATA-DRIVEN ANALYSIS OF INTERDISCIPLINARY TRENDS
Conference contributionDRS conference - Boston, USA, 26/06/2024
Le prospettive degli stakeholder in sanità e ricerca biomedica
PanelWorkshop presso Fondazione Giannino Bassetti - Milano, 27/05/2024
Lo spazio europeo dei dati sanitari: quali sfide e opportunità per il sistema Paese Italia?
AI uncovered: is it beneficial, overblown or risky?
Invited talkBologna Business School - UniBo, 21/03/2023
On LLMs and their limits
Un decennio di Open Data: una vittoria a metà?
Invited talkInternet Governance Forum - Italian chapter - Ancona, 19/11/2022
Open Data