Title: Editorial review: engineering modelling and intelligent computing are synergistic in translational medicine research

Authors: Ying (Ada) Chen, Nazeih M. Botros, Mary Qu Yang

Addresses: Department of Electrical and Computer Engineering, Biomedical Engineering Graduate Program, Southern Illinois University, Mail Code 6603, 1230 Lincoln Drive, Carbondale, IL 62901, USA. ' Department of Electrical and Computer Engineering, Biomedical Engineering Graduate Program, Southern Illinois University, Mail Code 6603, 1230 Lincoln Drive, Carbondale, IL 62901, USA. ' Department of Health and Human Services, United States National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20852 USA, and Oak Ridge, DOE, USA

Abstract: The field of engineering modelling and intelligent computing research has developed a large and substantial body of knowledge, based mostly in medical, healthcare, science and engineering programs. The basic paradigm has been the use of engineering and computational techniques, with the randomised clinical trial forming the main basis for progress. Quantitative models to analyse questions related to healthcare and personalised medicine have been used to design, validate and support the effective clinical applications. The use of advanced engineering and computational models to solve biomedical and healthcare problems for optimal design or resource allocations are key components of personalised medicine for decades. The development, implementation and transfer into clinical practice of data-driven models to support biological and medical research is an important research area in related fields. This special issue contains several ongoing research projects aimed at developing current signal and imaging and functional informatics techniques focusing on modern engineering modelling and computational medicine. Those papers represent important original scientific contributions to the modern biomedical and healthcare fields.

Keywords: computational informatics; signal processing; medical imaging; functional informatics; engineering modelling; intelligent computing; medical research; biomedical engineering; healthcare technology; computational medicine.

DOI: 10.1504/IJFIPM.2009.030909

International Journal of Functional Informatics and Personalised Medicine, 2009 Vol.2 No.4, pp.341 - 345

Published online: 11 Jan 2010 *

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