The D³4Health – S-RACE / UniSR event is dedicated to the presentation of S-RACE, an AI platform enabling the development of Digital and Biological Twins to support healthcare professionals in disease prognosis and in defining more effective, patient-tailored therapeutic strategies.

The event will showcase examples of how S-RACE is used to develop models for chronic diseases such as multiple sclerosis and diabetes, as well as cancers including glioblastoma, pancreatic, colorectal, and liver tumors.

Plenary sessions and round tables will address the challenges and opportunities of collaboration in AI-driven medical research, along with healthcare initiatives aligned with European regulatory frameworks, bringing together venture capitals, big tech, institutions and health professionals point of views.

Over two days, the event will foster dialogue between research, clinical practice, and institutions for the development and application of real-world evidence in healthcare, leveraging AI models and digital twins in clinical settings.

How does the journey from clinical data to artificial intelligence models applied in medical practice actually unfold?

The event program is designed to address this question through two days of activities that combine institutional contributions, scientific insights, and opportunities for discussion and exchange.

On the afternoon of June 8, participants will also have the opportunity to join workshops and practical sessions, by registration, offering a direct view of how data is transformed into clinical models and providing hands-on experience with tools for data analysis, data management, and AI applied to medicine.

Hands-on-sessions - June 8 

• S-RACE platform: guided demonstration and best practices - ML, MLFlow, AUTOML, Pipeline, Responsible AI - UniSR
• Federated Learning - Porini
• Orthanc and segmentation tools, Total segmentator and AI Tools - Porini
• HPC - CINECA
• Grant opportunities and strategies - Sporedata