Tag: important_news

The 4th edition of the Brain Innovation Days, organised by the European Brain Council, will take place on 13-14 November 2024 in Brussels, Belgium, under the overarching theme “Navigating the Brain Across a Lifetime“.
This event aims to bring the wider brain ecosystem together to foster dialogue, exchange knowledge, accelerate investment in research & innovation, and facilitate business development.

The main theme will revolve around 5 subthemes:

🧠 Blossoming Brains: Early Brain Development
🏫 Building Brains: Schools and Workplaces
🏥 Timeless Brains: Nurturing Resilience, Embracing Change
⚙️ Holistic Brains: Strategies for Brain Health in a Dynamic Society
🚀 Advancements in Neurotechnology: Pioneering Innovations

The programme will include a wide array of session types, including plenary sessions, inspiring Brain Talks, Poster and Innovation Showcase, matchmaking and networking activities, the Brain Innovation Days Pitch Competition, breakout sessions, panels, and how-to sessions.

Our PI Prof. Barbara Di Camillo will take part in the “Harnessing AI for brain health: lab to market to society” panel, an event that marks the conclusion of the BRAINTEASER project, celebrating its advances in remote prediction, prevention, and care for people with multiple sclerosis (MS) and amyotrophic lateral sclerosis (ALS). Key sessions will cover the transition of BRAINTEASER’s technology (an app and wearables) from the lab to the market, and the potential impact on patient-centred care. There will also be a showcase of the project’s clinical app and insights on its application to other neurodegenerative diseases like Parkinson’s.

The Brain Innovation Days offer an exciting opportunity to engage with the latest innovations in brain health, and we are proud to see Prof. Di Camillo contribute to the discussion on AI’s role in advancing care from lab to market, reinforcing our commitment to impactful, patient-centred research.

These days our group is attending the 19th conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2024) in Benevento, Italy.

We are proud to contribute to the event with the special session “Informatics research in bioinformatics: Contributions from the CINI-InfoLife network” co-organised and co-chaired by our researchers Giacomo Baruzzo and Mikele Milia, part of Young-InfoLife, and the following 5 oral presentations, most of them developed within the projects we are involved in (PNC/PNRR DARE initiative, H2020 BRAINTEASER project, Horizon Europe REDDIE project):

• “Comprehensive benchmarking of network inference methods for 16S rDNA-Seq data”, Piero Mariotto, Matteo Baldan, Barbara Di Camillo, and Giacomo Baruzzo
• “Comparing Propensity Score-Based Methods in Estimating the Treatment Effects: A Simulation Study“, Sara Poletto, Enrico Longato, Erica Tavazzi, and Martina Vettoretti
• “Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes”, Davide Dei Cas, Barbara Di Camillo, Gian Paolo Fadini, Giovanni Sparacino and Enrico Longato
• “Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression“, Elena Marinello, Erica Tavazzi, Enrico Longato, Pietro Bosoni, Arianna Dagliati, Mahin Vazifehdan, Riccardo Bellazzi, Isotta Trescato, Alessandro Guazzo, Martina Vettoretti, Eleonora Tavazzi, Lara Ahmad, Roberto Bergamaschi, Paola Cavalla, Umberto Manera, Adriano Chiò and Barbara Di Camillo
• “Network-Based Cross-Entropy Approach for Continuous Genotype-Phenotype Association Analysis”, Mikele Milia, Giacomo Baruzzo, and Barbara Di Camillo

We extend our sincere thanks to the conference organisers for facilitating this event and for providing us with the opportunity to present our research.

From July 15th to 19th, 2024, our group participated in the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) held in Orlando, Florida.

Our group was represented in the Health Informatics track with a poster presentation titled “Characterization of Chronic Kidney Disease Progression in Patients with Diabetes via Group-Based Multi-Trajectory Modeling”, authored by Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Rema Padman, and Barbara Di Camillo.

Additionally, our Principal Investigator, Prof. Barbara Di Camillo, was an organizer and speaker for two impactful mini-symposia.
The first mini-symposium, “Trustworthy AI in Medicine: Implications for Data, Algorithms and Systems,” took place on Wednesday, July 17th. This session addressed the critical issue of trustworthiness in AI systems used in clinical settings. The discussion covered various aspects, from data collection and preprocessing to algorithm reliability and explainability, drawing on practical examples from international projects such as the 4CE consortium and the BRAINTEASER project.
The second mini-symposium, “Fostering Equity in Science, Technology and Innovation: Insights and Best Practices in Co-Creating Policy Recommendations,” was held on Friday, July 19th. This session focused on promoting equity in these disciplines through collaborative policy-making. Experts from diverse backgrounds shared their experiences and best practices. The symposium provided valuable insights into the co-creation process, highlighting the importance of inclusivity and diversity in shaping effective policies.

We extend our gratitude to the organizers for making our participation in EMBC 2024 a fruitful experience, marked by engaging discussions and potential collaborations.

Recently we had the pleasure to start collaborating with Precision ALS, a research programme for Amyotrophic Lateral Sclerosis (ALS) research across Europe, which brings together ALS clinicians, data scientists, and industries to provide new insights into the understanding of this rare disease. 

This month, we attended a Precision ALS meeting in Basel, where clinical, scientific, and industry experts gathered to discuss the latest frontiers in the development and utilisation of predictive models for ALS. Together with our partners from the University of Torino, we presented our research work in the field and the new models and tools developed within the H2020 BRAINTEASER Project.

Building upon our collective knowledge of AI applied to ALS research, we aspire to bring our expertise and insights into the collaborative initiatives of Precision ALS, advancing the understanding and treatment of this multifaceted, complex disease.