Important Dates

Description: The purpose of this half day workshop is threefold: (1) to provide an opportunity for biomedical and computer scientists to present and discuss accomplishments as well as speculative futuristic ideas related to the application of evolutionary computation in support of patient care, (2) to organize an international community interested in on-going exploration of appropriate applications of computational intelligence in clinical medicine, and (3) to develop an internet-based community of  practice dedicated to developing and sharing data, computer programs, knowledge and other resources related to computing in support of  patient care.

In the workshop, six selected brief (10-15 minutes) informal presentations on real or imagined applications of evolutionary computation in support of patient care will be presented. Each presentation will be followed by a facilitated group dialogue focusing on the content of the presentation.  A more general open dialogue will fill out the remaining time if there is any.

Presentation and publication: If you would like to give a 10-15 minute presentation at this workshop and submit a paper of 6 pages or less for publication, please send your paper to scicomp2009@gmail.com.  Papers received by the March 25, 2009 conference deadline will be reviewed and authors will be notified.  All accepted workshop papers will be collected by Sheridan/ACM Press, and published in a separate workshop proceedings.

Presentation only: If you would like to just give a 10-15 minute presentation at this workshop please send the following information to scicomp2009@gmail.com: a title and brief abstract (500 words or less), the name of the presenter, and the names, affiliations, and e-mail addresses of those contributing to the content of the presentation before June 1, 2009.  These abstracts will not be published.

Here is a partial list of appropriate medical application topics

·         disease prevention, early detection, diagnoses and prognosis

·         lifetime treatment planning and follow-up

·         biomedical numeric, categorical, text, image & signal data mining

·         knowledge extraction from electronic patient records

·         low-cost screening devices & cost reduction in any aspect of medicine

·         continuous patient monitoring and alarm systems

·         detecting untoward effects such as adverse drug reactions, drug-drug interactions, etc

·         patient-management workflow optimization

·         disease modeling & treatment selection

·         survival prediction & other time-to-event modeling

·         medical biometric technology & personal multimedia data processing

·         building and using biomedical ontologies

·         designing clinical research trials

·         drug dose targeting & drug evaluation

·         medical devices, patient monitoring & preventive treatment strategies

·         subject recruitment for clinical research protocols

·         translational research & comparative effectiveness

·         genomics, proteomics, transcriptomics, metabolomics in relation to clinical practice

·         pharmacology, pharmacokinetics, pharmacodynamics & pharmacogenomic

*Organizers*
Jim DeLeo, National Institutes of Health    -   jdeleo@nih.gov

Alexandru Floares, Oncological Institute Cluj-Napoca   -  Alexandru.floares@iocn.ro

Aaron Baughman, IBM Bethesda, MD, USA   -  baaron@us.ibm.com

Jim DeLeo is a computer scientist at the National Institutes of Health Clinical Center in Bethesda Maryland, USA.  He is chief of the NIH Clinical Center Scientific Computing Section and founder and chairman of the NIH Biomedical Computing Interest Group.  He is dedicated to promoting the effective and practical use of modern intelligent computing methodology.

Alexandru Floares is  a neurologist  and a computer scientist. He is the head and founder of the Artificial Intelligence Department of the Oncological Institute Cluj-Napoca, Transilvania, Romania, and the president and founder of SAIA - Solutions of Artificial Intelligence Applications - organization, Cluj-Napoca, Transilvania. His present research is more problem-oriented rather than methods-oriented, trying to identify important biomedical problems and to solve them with appropriate computational intelligence tools.

Aaron Baughman is  a computer scientist and software engineer. He initiated and co-chaired the first IBM Academy of Technology conference on biometric analytics at IBM Research, Hawthorne, New York, USA, founded IBM's biometric/identity virtual community, and finished observations at the NIH/NINDS. He is dedicated to improving quality of life through the implementation and invention of computing technologies - Imagine, Innovate, Impact.