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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