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Research, Innovation and Technology Call (RITC) 2026 — Test and Demonstration of Multimodal Data Approaches for Personalised Medicine (MultiPMData2026)

Objective:
To validate and implement data-driven innovations that improve diagnosis, monitoring, decision support and treatment adherence for complex chronic conditions. Large clinical trials are not eligible. Each project must include a data strategy (collection, processing incl. AI, and use) and address the six enabling elements:

  1. Knowledge integration

  2. Technologies, methods and processes

  3. Infrastructure use

  4. Business and value model

  5. Policies and regulation

  6. Organisation, behaviour and values

Eligible activities:
Testing + demonstration of innovations (physical or digital) improving:

  • detection/characterisation of comorbidities,

  • diagnosis/follow-up and monitoring (remission / relapse),

  • shift to out-patient care via remote monitoring or wearables,

  • decision support for interventions (e.g. drug type or dose),

  • management of multiple treatments to reduce interactions,

  • adherence to long-term treatment plans.

Large clinical trials → excluded.

Who can apply:
Only transnational consortia with at least 3 partners from 3 different participating countries (see list). Each consortium must include at least one enterprise (SME or industry) and one clinical partner. Maximum 7 partners in the pre-proposal, maximum 3 per country, and no more than 2 partners on own funds. Patient and citizen organisations may join (either on own funds or via up to 50.000 Euro EP PerMed central support, administered by DLR-PT).

Key participation rules:
Two-stage procedure, English only, strict national eligibility rules, no double funding. Max. project duration 3 years.

Total indicative call budget: approx. 14.800.000 Euro, plus an additional 500.000 Euro EP PerMed central budget dedicated to patient and citizen organisations.

Expected Outcome

Funded projects should deliver proof of functionality and accuracy of new diagnostic/prognostic/decision-support tools, improve integration and use of multimodal data, demonstrate remote monitoring and personalised treatment response prediction, and support patient adherence.
Expected impact includes improved disease management and personalised care, reduced hospital dependency, system-level implementation capacity, and better healthcare workflows in testbeds. Ultimately, the call contributes to a European “Personalised Medicine System of Health” and accelerates translation of PM into clinical practice and society.

Scope

Funding for testing and demonstration of innovations that use multimodal health data to address multimorbidity, starting from TRL ≥ 3. Projects may develop or validate physical or digital devices, software, processes, or methods in controlled real-world, simulated, or virtual testbeds.

Each project must present a clear data management and usage plan, covering collection, processing (including AI), and utilisation of data. Large clinical trials are excluded.

The expected project duration is up to three years.

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