SciTransfer
Organization

ISTITUTO ROMAGNOLO PER LO STUDIO DEI TUMORI DINO AMADORI - IRST SRL

Italian cancer research centre specialising in personalized breast cancer screening, genetic risk assessment, and AI-driven oncology patient monitoring.

Research institutehealthITThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€468K
Unique partners
44
What they do

Their core work

IRST is a dedicated cancer research and treatment centre in Meldola, Italy, focused on translational oncology — bridging laboratory science with clinical practice. They contribute as clinical sites in large multinational studies, providing patient cohorts, medical protocol execution, and clinical validation of new cancer screening or monitoring approaches. Their work spans personalized breast cancer risk assessment using genetic markers and imaging, through to digital tools that track cancer patient wellbeing and health recovery after treatment. As a specialized cancer centre rather than a generalist university hospital, they offer deep oncology domain expertise combined with direct access to real patient populations.

Core expertise

What they specialise in

Personalized breast cancer screening and risk stratificationprimary
1 project

IRST participates in MyPeBS (2018–2027), a large international randomized trial comparing personalized risk-based screening to standard mammography, involving genetic polymorphism analysis and individual risk scoring.

Cancer patient digital monitoring and wellbeingemerging
1 project

In ONCORELIEF (2020–2023), IRST contributed to a digital health platform using AI and big data analytics to track and improve cancer patient wellbeing following treatment.

Oncogenomics and cancer genetic risk factorssecondary
1 project

MyPeBS relies on analysis of genetic polymorphisms to assign individual breast cancer risk scores, indicating IRST's capacity to work with genomic and clinical data in combination.

AI-assisted clinical decision support in oncologyemerging
1 project

Their involvement in ONCORELIEF — a project explicitly built on artificial intelligence and big data analytics — signals a move toward computational methods applied to cancer patient management.

Evolution & trajectory

How they've shifted over time

Early focus
Breast cancer genetic screening
Recent focus
AI-driven cancer patient monitoring

IRST's early H2020 work (from 2018) was grounded in clinical and genetic medicine: breast cancer screening protocols, mammography, genetic polymorphisms, and individual risk scoring. This reflects their core identity as a clinical research centre running patient studies with a biological and epidemiological focus. By 2020, their second project shifted sharply toward digital health — AI, big data analytics, and patient wellbeing monitoring — suggesting they are integrating computational tools into their clinical research portfolio. The trajectory is from pure clinical-genetic research toward a hybrid model where digital platforms support oncology patient management.

IRST is moving from traditional clinical trial participation toward digitally-augmented oncology — making them a relevant partner for projects combining clinical cancer expertise with AI, patient-reported outcomes, or remote monitoring technologies.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European12 countries collaborated

IRST has participated only as a consortium partner across both H2020 projects, never taking the coordinator role — a pattern typical of clinical research centres that contribute patients, data, and medical expertise rather than leading project management. Despite having only two projects, they have worked with 44 unique partners across 12 countries, suggesting they join large, multinational clinical consortia rather than small bilateral collaborations. This makes them a reliable specialist contributor: they bring clinical depth and patient access, while others handle coordination and technology development.

IRST has built a surprisingly broad network for a two-project participant — 44 unique consortium partners across 12 countries, consistent with involvement in large pan-European clinical trials. Their network is European in scope, likely anchored by academic medical centres and cancer research institutes from across the EU.

Why partner with them

What sets them apart

IRST is a purpose-built cancer research centre, not a general university hospital or national health authority — this gives them focused oncology expertise and a patient population specifically relevant to cancer research, which is harder to access through generalist partners. Their combination of clinical genetics competence (breast cancer risk scoring, polymorphism analysis) with an emerging digital health track makes them unusually suited for hybrid projects at the intersection of oncology and health technology. For a consortium needing a credible Italian clinical site with a direct oncology mandate, IRST offers both scientific credibility and institutional alignment with cancer-focused research agendas.

Notable projects

Highlights from their portfolio

  • MyPeBS
    A long-running (2018–2027) international randomized controlled trial — the gold standard in clinical evidence — testing whether genetic risk stratification can replace one-size-fits-all mammography screening, representing IRST's most significant and durable research commitment.
  • ONCORELIEF
    Signals IRST's pivot into digital oncology: a patient-facing AI platform for post-treatment monitoring, combining clinical cancer expertise with big data analytics in a domain — cancer survivorship care — of growing commercial and policy relevance.
Cross-sector capabilities
Digital health and AI-assisted patient monitoringGenomics and personalised medicine dataClinical trial infrastructure for validation studies
Analysis note: Profile is based on only two projects, both as participant. The thematic coherence is genuine and the keyword evolution meaningful, but no coordinator experience means little data on how IRST manages projects, builds consortia, or drives research agendas. Treat the digital health / AI dimension as emerging rather than established — it rests on a single project.