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LIFE Biosystems and the Fraunhofer Institute for Algorithms and Scientific Computing SCAI Collaborate to Advance the Clinical Application of Information Extraction Technologies.
HEIDELBERG, GERMANY. LIFE Biosystems GmbH announced today that it has entered into a collaborative agreement with the Department of Bioinformatics at the Fraunhofer Institute for Algorithms and Scientific Computing SCAI. As part of this agreement, LIFE has licensed the ProMiner entity recognition software, which will become an integral part of LIFE's text-mining infrastructure. In addition, both parties will work to collaboratively advance the development of information extraction algorithms in the clinical research domain. These efforts will focus on the identification and modelling of therapeutically relevant information from clinical/lexical data, with particular emphasis on drug mode of action and clinical outcomes.
"We have been extremely impressed by the advances made by SCAI in the field of biological information extraction" stated Dr. David Jackson, Director of in silico Discovery at LIFE Biosystems. "The synergies created as a result of this collaboration will enable us to efficiently bridge the gap between the clinical and molecular information domains. In so doing, we aim to achieve a new level of innovation in the analysis and application of patient derived data".
"The collaboration with LIFE Biosystems fits perfectly with our overall strategy to further develop our text-mining technologies for application areas beyond biology" says Dr. Juliane Fluck, Head of the Text Mining Group at Fraunhofer SCAI. "The domain of clinical information requires dedicated solutions for information extraction and the collaboration with LIFE Biosystems will help us to develop specialized ProMiner functionalities supporting mining in unstructured clinical data".
ABOUT LIFE BIOSYSTEMS
LIFE Biosystems is an in silico-driven discovery company dedicated to the field of predictive medicine. Working together the biopharmaceutical industry and comprehensive cancer centers, we strive to address the key issues facing clinical research and therapeutic development today. As expert practitioners of in silico discovery in molecular medicine, our goal is to transform patient information and molecular data into a new level of clinical discovery, intellectual property and ultimately, patient benefit. For additional information about the company, please visit:
http://www.lifebiosystems.com
Contact:
Dr. David Jackson,
Poststr 34,
69117, Heidelberg
Germany
Tel: +49 (0)6221 328 4197
Email: Jackson@lifebiosystems.com
Media contact:
Tracy C. Donahue
TMC Communications
Tel: +1 (857) 919-9975
Email: tracycdonahue@msn.com
ABOUT THE DEPARTMENT OF BIOINFORMATICS AT THE FRAUNHOFER INSTITUTE
The Department of Bioinformatics at the Fraunhofer Institute for Algorithms and Scientific Computing SCAI is renowned in the field of text-mining and information extraction in the field of life sciences. Excellence in biological named entity recognition has been independently established through successful participation in the two BioCreative text-mining competitions and through several high-ranking publications in the field. Two widely recognized software solutions for the advanced analysis of bibliographic information have been developed to date: ProMiner and ChemoCR. ProMiner is a specialized tool for named entity recognition in biology, medicine and chemistry, while ChemoCR is a new development, capable of translating depictions of chemical structures into explicit chemical nomenclatures. For additional information about the Department of Bioinformatics please visit:
http://scai.fraunhofer.de/bio.html?L=1
The department is also widely recognized for its annual text mining symposium:
http://scai.fraunhofer.de/tms08.html?L=1
Contact:
Michael Krapp
Fraunhofer Institute SCAI
53754 Sankt Augustin
Germany
Tel: +49 2241 14 2935
Fax: +49 2241 144 2935
E-Mail: michael.krapp@scai.fraunhofer.de
http://www.lifebiosystems.com/
http://scai.fraunhofer.de/bio.html?L=1
http://scai.fraunhofer.de/tms08.html?L=1
http://scai.fraunhofer.de/prominer.html?L=1
LIFE Biosystems
Quelle: © LIFE Biosystems, Inc.
Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Quelle: © SCAI
Merkmale dieser Pressemitteilung:
Biologie, Informationstechnik, Mathematik, Medizin
überregional
Forschungs- / Wissenstransfer, Kooperationen
Englisch
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