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SQUEEZE

medical devices
China's Best One-Stop Medical Equipment Provider
About

Rheumatoid arthritis (RA) is a chronic autoimmune disease, which has an enormous impact on a person's quality-of-life. Although there is currently a wide range of approved drugs with different targets, there are insufficient markers to identify the best choice for a particular patient. This often means that treatment strategies are ineffective, time-consuming, expensive and, above all, burdensome for the patients. The SQUEEZE consortium, comprising leading academic centres with world-class translational and clinical research expertise together with patients and small and medium-sized enterprises (SMEs), is conducting a collaborative programme to improve the benefits and safety of approved disease modifying antirheumatic drugs (DMARDs) by establishing and advancing the clinical application of biomarkers. In our joint project, the researchers are using models from data science, clinical trials, translational science, and behavioural science to improve the ability to select the drug with the highest probability of success for each patient, as well as biomarkers helping to optimise the selected drugs fro an individual patient. The Division of Rheumatology of the Medical University Vienna coordinates the project under the direction of Daniel Aletaha, supported by project and communication managers at EUTEMA research services GmbH in Vienna. Funded by the European Union under grant no. 101095052, by UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee grant no. 10055567 as well as the Swiss State Secretariat for Education, Research and Innovation (SERI). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or any other granting authority. Neither the European Union nor any other granting authority can be held responsible for them.

Technologies
Microsoft Office 365 Mobile Friendly Apache WordPress.org
Keywords
digital biomarkers machine learning molecular biomarkers patient-centered care predictive models data science biomarker-guided therapy clinical research treatment optimization healthcare innovation healthcare healthcare models offices of physicians personalized medicine biomarker analysis biomarkers treatment tailoring biobank data integration digital health behavioral biomarkers biobank inventory treatment response prediction synovial tissue analysis therapeutic drug monitoring behavioral science in healthcare biomarker validation studies ra treatment optimization personalized treatment algorithms patient involvement
Company Information
  • Employees 2
Location

Vienna, Vienna, Austria

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