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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: REGULAR PAPERS Call for Papers for Special Issue on ADVANCES ON LIFE SCIENCE SYSTEMS AND APPLICATIONS The stunning convergence of information technology and life science research is transforming the landscape of the pharmaceutical, biotechnology, and healthcare industries, signaling the arrival of personalized and molecular medicine, speeding up the pace of scientific discovery, and changing the practice and delivery of patient care. One of the biggest challenges facing circuits and systems, computing, and life sciences researchers today is how to collect, process, compress, integrate, archive, model, analyze, interpret, and mine the massive quantities of heterogeneous biological, chemical, imaging, clinical and cognitive data exploding out of rapid advances made in biotechnology, imaging and informatics during the past few decades, while simultaneously taking advantage of myriad new devices and technologies for improving human and global health, enhancing efficacy and tolerance to pharmaceutical compounds, increasing the chances of successful clinical trials and patient outcomes, and accelerating fundamental scientific discovery. The convergence of information technology and the life sciences will create a new professional community and discipline, namely, Life Science-IT, with unique information needs and circuit and systems theoretic techniques. Never before has the merger between engineering and biomedicine been so strong, and the CAS Society believes it can make a major contribution to the interdisciplinary glue bonding the two disciplines. The purpose of this timely special issue will focus on new computational and circuit-theoretic techniques and methods in life science systems and applications. Examples of topics qualifying for the special issue include the following: • Automated and circuit-theoretic algorithms and techniques in various biological scales of life science applications, ranging from genetics and proteins to organs and population. • Circuit-theoretic simulation methods of biological structures that enable scientists to model and simulate biological systems from single atoms to entire organisms. • Computational algorithms and circuit-theoretic methods that enable researchers to capitalize on the gains of the genomic revolution to understand the basic biology of diseases, identify functions of genomic data with phenotypes, interpret protein-protein or drug-drug interaction, and aid medical decisions. • Data mining techniques for high throughput and high content life science systems, including microarrays, cell-based arrays, tissue microarrays, and other parallelization means of experimentations. • Methods and technologies that translate the basic scientific discovery effectively into clinical space and speed up the drug discovery & development. • Methods and systems that enable activity monitoring and anomaly detection for biosurveillance, health activity monitoring, and environmental monitoring. • Systems biologic approaches and tools that integrate, model, and synthesize multimodality biomedical imaging and data to advance human health. All papers will be reviewed according to the standard peer review process to the IEEE Transactions on Circuits and Systems. Manuscripts should conform to the standard requirements for IEEE Transactions and should be submitted electronically through the web page of the Transactions on Circuits and Systems-I (http://tcas1.ece.orst.edu) Guest Editors: Prof. Stephen Wong, HCNR and Radiology, Harvard Medical School 1249 Boylston Street, Boston, MA 02215, USA Tel: 1-617-525-6225; Fax: 1-617-525-6250; email: [email protected] Prof. Andreas Andreou, Department of Electrical and Computer Engineering, John Hopkins University, Baltimore, MD 21218, USA. Tel: +1 410-516-8361; Fax: +1 410-516-8313; email: [email protected] Prof. Pau-Choo Chung, Department of Electrical Engineering National Cheng Kung University, Taiwan Tel: +886-6-2757575#62373; email: [email protected] Dr. Peter Markstein, Hewlett Packard Labs, MS/1163, 1501 Page Mill Road, Palo Alto, CA 94305, USA Tel: 1-650-857-6662; Fax: 1-650-857-5542; email: [email protected] Prof. Guang-Zhong Yang, Department of Computing and Faculty of Medicine, Imperial College, London, U.K. Tel: +44-0-20-7594-8441, email: [email protected] Deadlines: Manuscript submission: December 15, 2005 Notification of acceptance: April 15, 2006 Final manuscripts submission: June 15, 2006 Tentative publication date: October 2006