Finding useful biomarkers for Parkinson's disease.

Alice S Chen-PlotkinRoger AlbinRoy AlcalayDebra BabcockVikram BajajDubois BowmanAlex BukoJesse Cedarbaum Daniel Chelsky Mark R Cookson Ted M Dawson Richard B Dewey Tatiana M Foroud Mark FrasierDwight GermanKatrina GwinnXuemei HuangCatherine KopilThomas KremerShirley LaschKenneth MarekJarrod A MartoKalpana M MerchantBrit MollenhauerAnna NaitoJudith A Potashkin Alyssa Reimer Liana S Rosenthal Rachel Saunders-Pullman Clemens R ScherzerTodd ShererAndrew SingletonMargaret Sutherland Ines ThieleMarcel van der BrugKendall Van Keuren-JensenDavid E VaillancourtDavid WaltAndrew WestJing Zhang

Published in: Science translational medicine (2019)

The recent advent of an "ecosystem" of shared biofluid sample biorepositories and data sets will focus biomarker efforts in Parkinson's disease, boosting the therapeutic development pipeline and enabling translation with real-world impact.

Keyphrases

climate change
electronic health record
risk assessment
deep learning
data analysis