Blood transcriptomics to facilitate diagnosis and stratification in pediatric rheumatic diseases - a proof of concept study.

My Kieu HaEsther BartholomeusLuc Van OsJulie DandelooyJulie LeysenOlivier AertsVasiliki SiozopoulouEline De SmetJan GielenKhadija GuertiMichel De MaeseneerNele HerregodsBouchra LechkarRuth WittoekElke GeensLaura ClaesMahmoud ZaqoutWendy DewalsAnnelies LemayDavid TuerlinckxDavid WeynantsKoen VanledeGerlant van BerlaerMarc RaesHelene VerhelstTine BoiyPierre Van DammeAnna C JansenMarije MeuwissenVito SabatoGuy Van CampArvid SulsJutte Van der Werff Ten BoschJoke DehoorneRik JoosKris LaukensPieter MeysmanBenson Ogunjimi

Published in: Pediatric rheumatology online journal (2022)

Our data show that blood transcriptomics combined with machine learning is a promising diagnostic tool for pediatric rheumatic diseases and may assist physicians in making data-driven and patient-specific decisions in clinical practice.

Keyphrases

machine learning
single cell
clinical practice
big data
primary care
electronic health record
artificial intelligence