University of Oulu

Mobasheri, A. Biosensors for the Multiplex Detection of Inflammatory Disease Biomarkers. Biosensors 2021, 11, 11.

Biosensors for the multiplex detection of inflammatory disease biomarkers

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Author: Mobasheri, Ali1,2,3
Organizations: 1Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, FI-90014 Oulu, Finland
2Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, LT-08406 Vilnius, Lithuania
3University Medical Center Utrecht, Departments of Orthopedics, Rheumatology and Clinical Immunology, 3508 GA Utrecht, The Netherlands
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.1 MB)
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Language: English
Published: Multidisciplinary Digital Publishing Institute, 2020
Publish Date: 2021-02-23
Series: Biosensors
ISSN: 2079-6374
ISSN-E: 2079-6374
ISSN-L: 2079-6374
Volume: 11
Issue: 1
Pages: 1 - 2
DOI: 10.3390/bios11010011
Type of Publication: B1 Journal article
Field of Science: 318 Medical biotechnology
Funding: A.M. has received funding from the following sources: The European Commission Framework 7 program (EU FP7; HEALTH.2012.2.4.5-2, project number 305815; Novel Diagnostics and Biomarkers for Early Identification of Chronic Inflammatory Joint Diseases). The Innovative Medicines Initiative Joint Undertaking under grant agreement No. 115770, resources of which are composed of financial contribution from the European Union’s Seventh Framework program (FP7/2007-2013) and EFPIA companies’ in-kind contribution. A.M. also wishes to acknowledge funding from the European Commission through a Marie Curie Intra-European Fellowship for Career Development grant (project number 625746; acronym: CHONDRION; FP7-PEOPLE-2013-IEF). A.M. also wishes to acknowledge financial support from the European Structural and Social Funds (ES Struktūrinės Paramos) through the Research Council of Lithuania (Lietuvos Mokslo Taryba) according to the activity “Improvement of researchers” qualification by implementing world-class R&D projects’ of Measure No. 09.3.3-LMT-K-712 (grant application code: 09.3.3-LMT-K-712-01-0157, agreement No. DOTSUT-215) and the new funding program: Attracting Foreign Researchers for Research Implementation (2018–2022).
Copyright information: © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (