User-centered smart nanobiomaterial-based 3D matrices for chondral repair


Project description

RESTORE aims at creating a new generation of smart 3D matrices for chondral lesions treatment.

Untreated or not-correctly treated chondral lesion are most likely progress towards osteoarthritis (OA), which affects 242 million people globally (costs/patient/year of 10,452€). Furthermore, increased competitiveness in sports activities also increases the incidence of chondral injuries in athletes, which in turn propels the demand for cartilage repair products.

The RESTORE Project is built upon constructive discussions between orthopedic surgeons, tissue-engineers, material scientists, cell biologists as well as small and medium-sized enterprises (SMEs) to co-design an effective approach to manage the specific unmet clinical needs to treat knee chondral lesions. The project proposes innovative stimuli-responsive nano-enabled 3D matrices for an effective therapeutic repair of defects in articular cartilage.

The RESTORE project strives towards diminishing or delaying the onset of OA, thereby reducing hospitalization, number of surgeon interventions and time off work, which will lead to more cost-efficient health care, promote the wellbeing and active ageing of European population, as well as increase the EU attractiveness for research and investments in the field of regenerative medicine.

This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 814558.

Project coordinator

Other university or unit


Instituto Nacional de Engenharia Biomédica, Portugal
Ulm University, Germany

SINTEF, Norway
3Dtech Oy, Finland
Askel Healthcare Ltd, Finland
University of Gothenburg, Sweden
Università degli Studi del Piemonte Orientale, Italy
Reykjavik University, Iceland

Research groups

  • Microelectronics Research Unit
  • Research Unit of Medical Imaging Physics and Technology


Gabriela Lorite Yrjänä

Gabriela S. Lorite

Academy Research Fellow/ Adjunct Professor