• The partnership of excellence of the O-MAI project
• A strategic project for digital healthcare and critical technologies
• A strategic investment to drive the digital transformation of the Lombardy healthcare system
• Expected impacts

Milan, December 17, 2025 – synbrAIn announces that it has won the “Strategic Technologies” tender promoted by the Lombardy Region (Action 1.6.1 of the 2021-2027 FSR Regional Program), dedicated to the development of critical technologies in the deep tech, biotechnology, and digital health sectors.

The project presented by synbrAIn, called O-MAI (a technological platform for predictive, simulative, and personalized diagnostics created with artificial intelligence, Extended Reality, quantitative medical imaging, and omic sciences), received the highest technical evaluation among all the projects presented and was therefore deemed eligible for funding.

The total value of the project is €7,278,174.00, and it will receive €3,658,231.22 in funding for the experimental development and clinical testing of an advanced technology platform for predictive and personalized medicine. The value of the funding allocated to synbrAIn is €396,000.00.

The partnership of excellence of the O-MAI project

The O-MAI project is based on a strategic partnership of excellence that brings together clinical institutes, diagnostic centers, innovative SMEs, and specialized technology companies across the entire digital healthcare value chain.

The consortium consists of:

• IRCCS Galeazzi;
• Centro Diagnostico Italiano (CDI);
• DeepTrace Technologies;
• synbrAIn;
• PGMD;
• Mia;
• and Tree.

These entities complement each other in terms of clinical, scientific, technological, and organizational expertise, sharing consolidated experience in traditional research and the development of advanced solutions for predictive and personalized medicine.

The project’s governance includes technical milestones, scientific deliverables, and shared clinical validations, with a strong focus on ethics and personal data protection.

A strategic project for digital healthcare and critical technologies

O-MAI is a predictive, simulation-based, and personalized diagnostic technology platform based on artificial intelligence, advanced medical imaging, omics sciences, and Extended Reality. The goal is to generate predictive, simulation-based, and decision support tools that improve diagnosis, therapeutic personalization, and clinical planning.

The project complies with the provisions of the STEP Regulation (EU 2024/795) and the Commission’s guidelines (C/2024/3209), falling fully within Action 1.6.1 of the FESR Program. Furthermore, it directly responds to the priorities of the Lombardy Region‘s Smart Specialization Strategy (S3), in particular to macro-theme MT04 – Technologies for a healthy society, contributing directly to the strategic objectives:

• Accelerate the transformation of digital healthcare;
• Develop strategic technologies in the deep tech field;
• Strengthen the competitiveness of the regional research-business system;
• Support the growth of innovative SMEs;
• Reduce European dependence on critical non-EU technologies.

A strategic investment to drive the digital transformation of the Lombardy healthcare system

The call for proposals promoted by the Lombardy Region supports complex experimental development projects related to deep tech, biotechnology, and digital technologies. The O-MAI project, fully consistent with these guidelines, represents a strategic investment for the future of healthcare, as it responds to the growing need for advanced tools for early diagnosis, personalized clinical management, and therapeutic simulation in diseases with a high clinical impact, including:

• Oncology;
• Cardiology;
• Musculoskeletal diseases related to aging;
• Complex chronic multifactorial conditions.

Expected impacts

Clinical: improved diagnostic accuracy, early diagnosis, personalized treatment, reduction in invasive procedures, and optimization of care pathways.

Scientific and technological: advances in the development of multimodal AI models applied to imaging and omics, consolidation of regional deep tech expertise.

Economic and industrial: strengthening of the local production ecosystem, spin-off opportunities, and commercial scalability of the platform.

Environmental and operational: optimization of radiation dose, reduction of waste related to laboratory materials, energy-efficient cloud infrastructure.