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Information Research Specialist
Phone Number: (
Expertise and Research Interests: 

Dr. Rindflesch has a PhD in linguistics from the University of Minnesota and currently leads the Semantic Knowledge Representation project, which conducts research in natural language processing methodology and develops innovative applications for advanced access to information in MEDLINE citations.

Professional Organizations: 

He is a member of the American Medical Informatics Association, the Association for Computational Linguistics, and the Linguistic Society of America.

Honors and Awards: 

Dr. Rindflesch was elected a fellow of the American College of Medical Informatics in 2005. He was recognized with NLM Group Awards (with Olivier Bodenreider) in 2006 and with Marcelo Fiszman, Graciela Rosemblat, and Dongwook Shin in 2009. He received an NIH Director’s Award for mentoring in 2015.

Publications/Tools by Thomas Rindflesch: 
Cameron D, Kavuluru R, Rindflesch TC, Sheth AP, Thirunarayan K, Bodenreider O. Context-driven automatic subgraph creation for literature-based discovery. J Biomed Inform. 2015 Apr;54:141-57. doi: 10.1016/j.jbi.2015.01.014. Epub 2015 Feb 7.
Zhang R, Adam TJ, Simon G, Cairelli MJ, Rindflesch T, Pakhomov S, Melton GB. Mining Biomedical Literature to Explore Interactions between Cancer Drugs and Dietary Supplements. AMIA Jt Summits Transl Sci Proc. 2015 Mar 23;2015:69-73. eCollection 2015.
Hristovski D, Dinevski D, Kastrin A, Rindflesch TC. Biomedical question answering using semantic relations. BMC Bioinformatics. 2015 Jan 16;16:6. doi: 10.1186/s12859-014-0365-3.
Hristovski D, Kastrin A, Dinevski D, Rindflesch TC. Constructing a Graph Database for Semantic Literature-Based Discovery. Stud Health Technol Inform. 2015;216:1094.
Shang N, Xu H, Rindflesch TC, Cohen T. Identifying plausible adverse drug reactions using knowledge extracted from the literature. J Biomed Inform. 2014 Dec;52:293-310. doi: 10.1016/j.jbi.2014.07.011. Epub 2014 Jul 19.
Culbertson A, Fiszman M, Shin D, Rindflesch TC. Semantic processing to identify adverse drug event information from black box warnings. AMIA Annu Symp Proc. 2014 Nov 14;2014:442-8. eCollection 2014.
Zhang R, Cairelli MJ, Fiszman M, Kilicoglu H, Rindflesch TC, Pakhomov SV, Melton GB. Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs. Cancer Inform. 2014 Oct 14;13(Suppl 1):103-11. doi: 10.4137/CIN.S13889. eCollection 2014.
Cohen T, Widdows D, Stephan C, Zinner R, Kim J, Rindflesch TC, Davies P. Predicting high-throughput screening results with scalable literature-based discovery methods. CPT Pharmacometrics Syst Pharmacol. 2014 Oct 8;3:e140. doi: 10.1038/psp.2014.37.
Kastrin A, Rindflesch TC, Hristovski D. Large-scale structure of a network of co-occurring MeSH terms: statistical analysis of macroscopic properties. PLoS One. 2014 Jul 9;9(7):e102188. doi: 10.1371/journal.pone.0102188. eCollection 2014.
Chen G, Cairelli MJ, Kilicoglu H, Shin D, Rindflesch TC. Augmenting microarray data with literature-based knowledge to enhance gene regulatory network inference. PLoS Comput Biol. 2014 Jun 12;10(6):e1003666. doi: 10.1371/journal.pcbi.1003666. eCollection 2014 Jun.