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MIRACLE SIGNED

Mid-infrared arthroscopy innovative imaging system for real-time clinical in depth examination and diagnosis of degenerative joint diseases

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MIRACLE" data sheet

The following table provides information about the project.

Coordinator
OULUN YLIOPISTO 

Organization address
address: PENTTI KAITERAN KATU 1
city: OULU
postcode: 90014
website: www.oulu.fi

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Finland [FI]
 Total cost 6˙960˙845 €
 EC max contribution 6˙133˙635 € (88%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2017-1
 Funding Scheme /IA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2021-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    OULUN YLIOPISTO FI (OULU) coordinator 1˙146˙325.00
2    UNIVERSITAET ULM DE (ULM) participant 842˙500.00
3    NANOPLUS NANOSYSTEMS AND TECHNOLOGIES GMBH DE (GERBRUNN) participant 797˙204.00
4    ITA-SUOMEN YLIOPISTO FI (KUOPIO) participant 585˙856.00
5    NORGES MILJO-OG BIOVITENSKAPLIGE UNIVERSITET NO (AS) participant 538˙431.00
6    OPTOPRECISION GMBH DE (BREMEN) participant 470˙312.00
7    INEB-INSTITUTO NACIONAL DE ENGENHARIA BIOMEDICA PT (PORTO) participant 439˙375.00
8    IRIS TECHNOLOGY SOLUTIONS, SOCIEDAD LIMITADA ES (MADRID) participant 352˙450.00
9    ART PHOTONICS DE (BERLIN) participant 310˙187.00
10    UNIVERSITEIT UTRECHT NL (UTRECHT) participant 293˙376.00
11    POHJOIS-SAVON SAIRAANHOITOPIIRIN KUNTAYHTYMA FI (KYS) participant 173˙750.00
12    PHOTONICS FINLAND FI (Joensuu) participant 106˙367.00
13    ASOCIACION ESPANOLA DE NORMALIZACION ES (MADRID) participant 77˙500.00

Mappa

 Project objective

MIRACLE will take towards commercialization the first mid-infrared (MIR) arthroscopy probe for in-depth evaluation of articular cartilage enabling early diagnosis of degenerative joint diseases such as osteoarthritis (OA). The proposed device is intended for use during a minimally invasive surgery (arthroscopy). Currently, the surgeon’s decision-making is based on visual inspection and manual probing of the cartilage tissue which is highly subjective and of poor repeatability. Untreated or not-correctly treated joint injury will most likely progress towards OA, which will lead to joint pain, movement limitation, joint failure, and ultimately disability and joint replacement. OA constitutes a major challenge for the health systems and affects 242 million people globally. Moreover, OA is highly prevalent in Europe with an estimated 19.7-42.3% in the elderly population. MIRACLE concept is to access the biochemical on articular cartilage, which precedes OA. The feasibility of this approach as a diagnostic method has been demonstrated by MIRACLE consortium (TRL4). MIRACLE has also prototyped a MIR-probe with potential use for diagnostics (TRL4). By technology development reaching TRL 6-7, MIRACLE will bring to the arthroscopy market the first MIR-based probe providing an unique, accurate and quantitative diagnostic tool for the orthopedic surgeon. This will be achieved combining three novel photonics components: (i) a quantum cascade laser array tailored to biodiagnostics, (ii) an on-chip beam combiner for efficient radiation coupling, and (iii) MIR sensing probe for imaging. These components will be integrated in a medical device to be placed in the arthroscopy market (valued at $4 billion in 2015). In addition to add value to the European medical equipment industry, MIRACLE strives towards cost reduction of OA patients (currently costs/patient/year €10,452) contributing to more affordable public health care and promoting wellbeing in the European ageing population.

 Work performed, outcomes and results:  advancements report(s) 

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The information about "MIRACLE" are provided by the European Opendata Portal: CORDIS opendata.

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