Welcome to the Project Tracking Workspace!

Project at a Glance:

This project's goal is to build an exemplar framework that implements core components of the new knowledge representation paradigm for potential drug-drug interactions that we hypothesize will yield more clinically relevant evidence than is currently possible.

Specific Aims

  1. Derive a new potential drug-drug interaction (PDDI) meta-data standard that can meet the information needs of pharmacist working in different care settings
  2. Apply a novel evidence synthesis process to enhance product label PDDI information
  3. Test innovative methods for PDDI information retrieval

Funding Acknowledgements:

This project is supported by a grant from the National Library of Medicine: "Addressing gaps in clinically useful evidence on drug-drug interactions" (1R01LM011838-01)


Peer-reviewed Journal Articles

  • Hochheiser H, Ning Y, Hernandez A, Horn JR, Jacobson R, Boyce RD. Using Nonexperts for Annotating Pharmacokinetic Drug-Drug Interaction Mentions in Product Labeling: A Feasibility Study. JMIR Res Protoc. 2016 Apr 11;5(2):e40. doi: 10.2196/resprot.5028. PubMed PMID: 27066806. http://www.researchprotocols.org/2016/2/e40/
  • Ayvaz S, Horn J, Hassanzadeh O, Zhu Q, Stan J, Tatonetti NP, Vilar S, Brochhausen M, Samwald M, Rastegar-Mojarad M, Dumontier M, Boyce RD, Toward a complete dataset of drug-drug interaction information from publicly available sources, Journal of Biomedical Informatics. 55 (2015), 206-217.  DOI:10.1016/j.jbi.2015.04.006. http://www.sciencedirect.com/science/article/pii/S1532046415000738#  PMCID: PMC4464899.
  • Pfundner , A., Schönberg, T., Horn., J., Boyce, RD., and Samwald, M. Utilizing the Wikidata system to improve the quality of medical content in Wikipedia in diverse languages: a pilot study. 2015; 17(5). http://www.jmir.org/2015/5/e110/ .
  • Boyce. RD., Ryan. PB., Noren. N., et al., Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest. Drug Safety. 2014. Volume 37, Issue 8 (2014), Page 557-567. DOI: 10.1007/s40264-014-0189-0, PubMed PMID: 24985530. PMCID: PMC4134480. http://link.springer.com/article/10.1007%2Fs40264-014-0189-0
  • Scheife RT, Hines LE, Boyce RD, Chung SP, Momper JD, Sommer CD, Abernethy DR, Horn JR, Sklar SJ, Wong SK, Jones G, Brown ML, Grizzle AJ, Comes S, Wilkins TL, Borst C, Wittie MA, Malone DC. Consensus Recommendations for Systematic Evaluation of Drug-Drug Interaction Evidence for Clinical Decision Support. Drug Saf. 2015 Jan 3. [Epub ahead of print] PubMed PMID: 25556085. [PMCID – in process]. http://link.springer.com/article/10.1007%2Fs40264-014-0262-8

Conference Papers and Posters

  • Schneider, J., Brochhausen, M., Rosko, S., Ciccarese, S., Hogan, WR., Malone, D., Ning, Y., Clark, T., and Boyce, RD. Formalizing knowledge and evidence about potential drug-drug interactions. The International Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs (BDM2I 2015) at the 14th International Semantic Web Conference (ISWC). October 11th 2015. Bethlehem, PA. http://ceur-ws.org/Vol-1428/BDM2I_2015_paper_10.pdf
  • Ayvaz S., Zhu Q., Hochheiser H., Brochhausen M., Horn, J., Dumontier, M., Samwald M., Boyce, RD. “Drug-Drug Interaction Data Source Survey and Linking.” Proceedings of the AMIA Summit on Translational Bioinformatics. 2014.
  • Schneider, J., Collins, C., Hines, L., Horn, JR, Boyce, R. “Modeling Arguments in Scientific Papers.” at the 12th Annual ArgDiaP Conference: From Real Data to Argument Mining. Warsaw, Poland, May 23-24 2014. http://jodischneider.com/pubs/argdiap2014.pdf
  • Schneider, J., Ciccarese, P., Clark, T., Boyce, RD. "Using the Micropublications ontology and the Open Annotation Data Model to represent evidence within a drug-drug interaction knowledge base." The 4th Workshop on Linked Science 2014— Making Sense Out of Data (LISC2014). Collocated with the 13th International Semantic Web Conference (ISWC2014). October 19th and 20th, Riva del Garda, Trentino, Italy. http://goo.gl/f59CCz
  • Brochhausen, M., Schneider, J., Malone, D., Empey, PE., Hogan WR., and Boyce, RD. Towards a foundational representation of potential drug-drug interaction knowledge. The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014). October 6th, Houston, Texas. United States.  http://ceur-ws.org/Vol-1309/paper2.pdf.  
  • M. Brochhausen, W. R. Hogan, P. E. Empey, D. M. Malone, R. D. Boyce: "Using Semantic Web technology to link potential drug-drug interaction information to biological and biomedical data”. MCBIOS XII “ Emerging trends in Bioinformatics”. March 12-14, Little Rock, AR, USA.
  • Hernandez, AM., Hochheiser, H., Horn, J., Jacobson, R., Boyce, RD. Testing Pre-Annotation to Help Non-Experts Identify Drug-Drug Interactions Mentioned in Drug Product Labeling. Panel presentation at Citizen + X: Volunteer-Based Crowdsourcing in Science, Public Health, and Government. A workshop held at the Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2014) Pittsburgh, PA. November 2nd, 2014. http://www.aaai.org/ocs/index.php/HCOMP/HCOMP14/paper/viewFile/9259/9187

Non-refereed articles, workshop proceedings, monographs, book chapters, and theses:

  • Boyce, RD, Brochhausen, M., Empey, PE., Haendel, M., Hogan, WR., Malone, D., Ray, P., Ruttenberg, A., Seppälä, S., Stoecker, CJ., Zheng, J. (eds.):Proceedings of The First International Workshop on Drug Interaction Knowledge Management (DIKR 2014), The Second International Workshop on Definitions in Ontologies (IWOOD 2014), and The Starting an OBI-based Biobank Ontology Workshop (OBIB 2014), Houston, TX, USA, Oct, 6-7, 2014. CEUR Workshop Proceedings, ISSN 1613-0073, http://ceur-ws.org/Vol-1309/

 [RDB1]Awaiting the final URL