First APPROACH results disseminated at OARSI World Congress
Last week, the World Congress on Osteoarthritis (OARSI) took place in Liverpool, United Kingdom. The annual OARSI Congress is a global forum for those involved in OA research and treatment from academia and industry. Many researchers involved in the APPROACH project presented their studies, and the first project results were disseminated in the form of three poster presentations.
Image: Eefje van Helvoort in front of her poster at OARSI
One of the posters explained the set-up of the 2-year APPROACH clinical study that kicked off in January 2018. “Many people passed by who were interested in the APPROACH study,” says Eefje van Helvoort, poster presenter and physician at the University Medical Center Utrecht. “It was inspiring to discuss with people from different backgrounds the set-up of our study. I already look forward to presenting the first clinical study results at the 2019 or 2020 edition of OARSI.”
The two other posters showcased the work performed in the bioinformatics work package. The poster by Dr. Jaume Bacardit (Newcastle University) explained how APPROACH harmonized data from 5 European OA cohorts to later develop machine learning models for the prediction of knee OA progression. The poster by Dr. Paweł Widera (Newcastle University) explained the novel two-stage recruitment procedure based on machine learning, that is being used to maximise the number of fast OA progressors enrolled into the APPROACH study.
Poster presentations:
THE APPROACH CONSORTIUM: A 2-YEAR, EUROPEAN, COHORT STUDY TO DESCRIBE, VALIDATE, AND PREDICT PHENOTYPES OF KNEE OSTEOARTHRITIS BY USE OF CLINICAL, IMAGING, AND BIOCHEMICAL MARKERS
Presented by Eefje van Helvoort, University Medical Center Utrecht
DATA HARMONISATION ACROSS DATABASES FOR MACHINE LEARNING MODEL DEVELOPMENT TO PREDICT KNEE OSTEOARTHRITIS PROGRESSION
Presented by Dr. Jaume Bacardit (pictured below), Newcastle University
RECRUITMENT PROCEDURE TO MAXIMISE INCLUSION OF PROGRESSORS IN OA CLINICAL STUDIES USING SUBJECTS FROM EXISTING COHORTS
Presented by Dr. Pawel Widera (pictured below), Newcastle University