Publications in 2016

Making sense of big data in health research: Towards an EU action plan

Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, Bernal-Delgado E, Blomberg N, Bock C, Conesa A, Del Signore S, Delogne C, Devilee P, Di Meglio A, Eijkemans M, Flicek P, Graf N, Grimm V, Guchelaar HJ, Guo YK, Gut IG, Hanbury A, Hanif S, Hilgers RD, Honrado Á, Hose DR, Houwing-Duistermaat J, Hubbard T, Janacek SH, Karanikas H, Kievits T, Kohler M, Kremer A, Lanfear J, Lengauer T, Maes E, Meert T, Müller W, Nickel D, Oledzki P, Pedersen B, Petkovic M, Pliakos K, Rattray M, I Màs JR, Schneider R, Sengstag T, Serra-Picamal X, Spek W, Vaas LA, van Batenburg O, Vandelaer M, Varnai P, Villoslada P, Vizcaíno JA, Wubbe JP, Zanetti G

Genome Med. 2016 Jun 23;8(1):71

PMID:27338147

PMC ID: PMC4919856


Application of automated natural language processing (NLP) workflow to enable a federated search of external biomedical content in drug discovery development

McEntire R, Szalkowski D, Butler J, Kuo MS, Chang M, Chang M, Freeman D, McQuay S, Patel J, McGlashen M, Cornell WD, Xu JJ.

Drug Discov Today. 2016 May; 21(5):826-35

PMID: 26979546

http://www.sciencedirect.com/science/article/pii/S1359644616300757


Developing Timely Insights on Comparative Effectiveness Research with a Text Mining Pipeline

Chang M, Chang M, Reed JZ, Milward D, Xu JJ, Cornell WD

Drug Discov Today. 2016 Mar; 21(3):473-80

PMID: 26854423

http://www.sciencedirect.com/science/article/pii/S1359644616000325

Abstract

Comparative effectiveness research (CER) provides evidence for the relative effectiveness and risks of different treatment options and informs decisions made by healthcare providers, payers, and pharmaceutical companies.