SciTransfer
Organization

IRCCS SAN RAFFAELE ROMA SRL

Italian clinical research institute applying AI and machine learning to oncology and neurological disease screening in large EU consortia.

Research institutehealthIT
H2020 projects
2
As coordinator
1
Total EC funding
€1.5M
Unique partners
42
What they do

Their core work

IRCCS San Raffaele Roma is an Italian clinical research institute (IRCCS — Istituto di Ricovero e Cura a Carattere Scientifico) recognized by the Italian Ministry of Health as a center of excellence in biomedical research. Their scientific work spans oncology and neurology, with a strong computational thread running through both: they build predictive models, computational frameworks, and AI-based decision support systems applied to real clinical problems. In the REVERT project they led research into targeted combinatorial therapies for unresectable colorectal cancer, combining molecular biology with machine learning to model cancer progression. In AI-Mind they contribute to multimodal AI screening tools for early dementia detection, working with brain connectivity data and deep learning pipelines.

Core expertise

What they specialise in

2 projects

Both REVERT and AI-Mind explicitly integrate AI/ML into clinical workflows — REVERT for cancer therapy guidance, AI-Mind for dementia risk screening.

Oncology — colorectal cancer therapyprimary
1 project

Led REVERT (coordinator, EUR 998k), focused on targeted combinatorial therapy and molecular mechanisms in unresectable colorectal cancer patients.

Neurodegenerative disease screeningsecondary
1 project

Participant in AI-Mind, contributing to multimodal risk assessment and brain connectivity analysis for mild cognitive impairment and dementia.

Computational biomedical modellingprimary
2 projects

REVERT involved building a computational framework and predictive models for cancer progression; AI-Mind applies deep learning to neuroimaging data.

Machine learning in clinical dataemerging
2 projects

Machine learning and deep learning appear as explicit keywords across both projects, signalling a cross-disease AI methodology applied to heterogeneous clinical datasets.

Evolution & trajectory

How they've shifted over time

Early focus
Colorectal cancer targeted therapy
Recent focus
AI screening for dementia and cognitive decline

Their H2020 entry in 2020 was anchored in oncology: molecular mechanisms of colorectal cancer, combinatorial drug therapy, and building computational frameworks to predict cancer progression — with AI as a supporting tool for therapy decisions. By 2021, their second project shifted disease domain entirely to neurology, with AI and deep learning becoming the primary focus rather than a support role. The trajectory is clear: from disease-specific clinical research with computational elements, toward AI methodology as a horizontal capability applicable across disease areas.

They are positioning themselves as a clinical AI institute — capable of applying machine learning and deep learning to diverse disease areas — rather than remaining specialists in any single pathology.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European11 countries collaborated

They are comfortable in both leadership and partner roles: they coordinated REVERT (a 4-year RIA) and joined AI-Mind as a participant, suggesting flexibility depending on where their specific expertise fits. With 42 unique partners across just 2 projects, they work in large multi-stakeholder consortia typical of RIA grants, not in tight bilateral arrangements. This indicates experience navigating complex consortium governance and an openness to contributing as a specialist node within bigger European collaborations.

42 unique consortium partners across 11 countries from only 2 projects points to participation in large, geographically diverse RIA consortia — likely spanning southern and northern Europe. No evidence of repeated partnerships, suggesting they prioritize breadth of collaboration over deep bilateral ties.

Why partner with them

What sets them apart

As an IRCCS-designated institute, San Raffaele Roma operates at the intersection of hospital-grade clinical practice and academic-level biomedical research — a combination that many pure universities or pure companies cannot offer. Their ability to contribute both clinical domain knowledge (real patient data, treatment protocols) and computational modelling capacity makes them a credible bridge between bench science and clinical deployment. For a consortium needing a clinical validation partner in Italy with AI credentials, they fill a specific gap.

Notable projects

Highlights from their portfolio

  • REVERT
    Their largest project by funding (EUR 998k) and only coordinator role — a 4-year RIA targeting one of oncology's hardest problems, unresectable colorectal cancer, using a combination of molecular research and AI decision support.
  • AI-Mind
    A high-profile pan-European AI project on dementia screening running to 2026, demonstrating their ability to join top-tier consortia as a specialist contributor in brain connectivity and multimodal risk assessment.
Cross-sector capabilities
Digital technologies — AI/ML model development applicable beyond healthData science and predictive analytics for complex multivariate datasetsComputational biology applicable to pharmaceutical and biotech R&D
Analysis note: Profile is based on only 2 projects. The expertise pattern is internally consistent and the AI thread across both projects is credible, but depth of analysis is limited. Confidence would rise to 4-5 with 5+ projects. The IRCCS designation (Italian Ministry of Health recognition) is inferred from the name — it should be verified against official Italian IRCCS registry if used for high-stakes decisions.