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Credit: Oliver Dietze In their study, which is now published in the journal Nature Aging, they show that the level of non-coding RNAs in the blood of a Parkinson s patient can be used to track the course of the disease. For their study, the team led by bioinformatics professor Andreas Keller and his doctoral student Fabian Kern created and analyzed the molecular profiles of more than 5,000 blood samples from over 1,600 Parkinson s patients. This resulted in around 320 billion data points, which the researchers analyzed for biomarkers of Parkinson s disease using artificial intelligence methods. Our project is among the largest RNA biomarker studies in the world, says Andreas Keller, head of the research group for clinical bioinformatics at Saarland University and spokesperson for the Center for Bioinformatics at the Saarland Informatics Campus.

United statesStanford universityUniversity of southern californiaSan diegoFabian kernLos angelesAndreas kellerUniversity of californiaSaarland universityGerman research centerParkinson progression markers initiativeTranslational genomics research institute tgenMax planck institute for software systemsCentre for systems biomedicineMax planck institute for computer scienceNature aging