Széchenyi Terv Plusz — Hungarian Government and European Union co-financingHungarian Innovation Agency (NIÜ)XPAND

Hungarian Innovation Agency | XPAND Program

Hungarian Healthcare Innovation at MEDICA 2026

Discover promising Hungarian healthcare and MedTech innovation projects — from research-driven Proof of Concept developments to market-ready solutions.

Participation in the STARTUP PARK and the presence of the Hungarian Innovation Agency (NIÜ) stand are funded by the project titled "Development of the R&D&I Ecosystem." These program elements are implemented as part of the priority project identified as GINOP_Plusz-2.1.2-22-2024-00002, within the framework of the Széchenyi Plan Plus program, with support from the European Union and co-financing from the Hungarian State.

Find us

HALL 17 · STAND D57

Next to the MEDICA Digital Health Stage

MEDICA 2026

16–19 November 2026

Messe Düsseldorf, Germany

XPAND Program participants at the MEDICA trade fair in Düsseldorf
Selected for Forums & Stages
3
Selected for Forums & Stages
Startup Park Participants
7
Startup Park Participants
HealthTech Portfolio
16
HealthTech Portfolio

Booth location

Meet us at Hall 17, Stand D57

Find the XPAND Program beside the MEDICA Digital Health Stage in Hall 17 — the fair's hub for digital health, innovation and startups.

Hall 17 / D57

Innovation portfolio

Explore Hungarian Healthcare Innovations

Discover emerging technologies, research-based innovations and market-oriented solutions across the healthcare ecosystem. Browse the portfolio by development stage or MEDICA industry category to identify relevant technologies, partners and opportunities.

26 of 26 projects

Draft content: project texts, stages and MEDICA categories are editorial proposals pending approval.

GTM Startup Park Participants

MedHubAI

Széchenyi logo

MedHubAI builds a longitudinal health intelligence platform for private clinics and longevity providers. It connects fragmented data (EHR, lab results, wearables, VO2max, grip strength, body composition) into one medically supervised health timeline per patient.

2. Digital Medicine, Data & Artificial Intelligence

2.8 — Data platforms & cloud health

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