The TMO/TMKB paper is now available on-line here: http://www.jbiomedsem.com/content/2/S2/S1/An application interface was independently built by LINKatu (http://linkatu.net/), a Spanish start-up that recently joined W3C: http://85.48.202.13:8080/AD/ and is now working with us in the Translational Medicine Task Group led by Michel Duontier. Thank you to all who contributed! And thank you to Iger Huerga and tne LINKatu team for putting the very nice contribution.Kind Regards, Joanne ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Joanne S. Luciano, PhD Rensselaer Polytechnic Institute Research Associate Professor 110 8th Street, Winslow 2143 Tetherless World Constellation Troy, NY 12180, USA Department of Computer Science Email: jluci...@cs.rpi.edu Office Tel. +1.518.276.4939 Global Tel. +1.617.440.4364 (skypeIn) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The Translational Medicine Ontology and Knowledge Base: Driving personalized medicine by bridging the gap between bench and bedsideJournal of Biomedical Semantics 2011, 2(Suppl 2):S1
Abstract (provisional)BackgroundTranslational medicine requires the integration of knowledge using heterogeneous data from health care to the life sciences. Here, we describe a collaborative effort to produce a prototype Translational Medicine Knowledge Base (TMKB) capable of answering questions relating to clinical practice and pharmaceutical drug discovery. ResultsWe developed the Translational Medicine Ontology (TMO) as a unifying ontology to integrate chemical, genomic and proteomic data with disease, treatment, and electronic health records. We demonstrate the use of Semantic Web technologies in the integration of patient and biomedical data, and reveal how such a knowledge base can aid physicians in providing tailored patient care and facilitate the recruitment of patients into active clinical trials. Thus, patients, physicians and researchers may explore the knowledge base to better understand therapeutic options, efficacy, and mechanisms of action. ConclusionsThis work takes an important step in using Semantic Web technologies to facilitate integration of relevant, distributed, external sources and progress towards a computational platform to support personalized medicine. AvailabilityTMO can be downloaded from http://code.google.com/p/translationalmedicineontology and TMKB can be accessed at http://tm.semanticscience.org/sparql. |