IUBio Biosequences .. Software .. Molbio soft .. Network News .. FTP


Tue Sep 14 12:57:01 EST 1993


                    24-28 April 1994
                   Hyatt Regency Hotel
                     Austin, Texas
----- (Feel Free To Cross Post This Announcement) ----

1.0 CONFERENCE OVERVIEW:  With increasing frequency, 
computational sciences are being exploited as a means 
with which to investigate biomedical processes at all 
levels of complexity; from molecular to systemic to 
demographic. Computational instruments are now used, 
not only as exploratory tools but also as diagnostic 
and prognostic tools. The appearance of high 
performance computing environments has, to a great 
extent, removed the problem of increasing the 
biological reality of the mathematical models. For the 
first time in the history of the field, practical 
biological reality is finally within the grasp of the 
biomedical modeler. Mathematical complexity is no 
longer as serious an issue as speeds of computation 
are now of the order necessary to allow extremely 
large and complex computational models to be analyzed. 
Large memory machines are now routinely available.  
Additionally, high speed, efficient, highly optimized 
numerical algorithms are under constant development. 
As these algorithms are understood and improved upon, 
many of them are transferred from software 
implementation to an implementation in the hardware 
itself; thereby further enhancing the available 
computational speed of current hardware. The purpose 
of this congress is to bring together a 
transdisciplinary group of researchers in medicine, 
public health, computer science, mathematics, nursing,
veterinary medicine, ecology, allied health, as well 
as numerous other disciplines, for the purposes of 
examining the grand challenge problems of the next 
decades. This will be a definitive meeting in that it 
will be the first World Congress of its type and will 
be held as a follow-up to the very well received 
Workshop On High Performance Computing In The Life 
Sciences and Medicine held by the University of Texas 
System Center For High Performance Computing in 1990.

Young scientists (graduate students, postdocs, etc.)
are encouraged to attend and to 
present their work in this increasingly interesting 
discipline. Funding is being solicited from NSF, NIH, 
DOE, Darpa, EPA, and private foundations, as well as 
other sources to assist in travel support and in the 
offsetting of expenses for those unable to attend 
otherwise. Papers, poster presentations, tutorials, 
focused topic workshops,  birds of a feather groups, 
demonstrations, and other suggestions are also 

has a broad scope. If you are not sure
whether or not your subject fits the Congress 
scope, contact the conference organizers at one 
of the addresses below.

Subject areas include but are not limited to:
 --- medical imaging
 --- molecular visualization as a clinical 
     research tool
 --- simulation visualization
 --- microscopy
 --- visualization as applied to problems 
     arising in computational molecular 
     biology and genetics or other non-traditional 
 --- telemedicine
*Computational Molecular Biology and Genetics
 --- computational ramifications of clinical 
     needs in the Human Genome, Plant Genome, 
     and Animal Genome Projects
 --- computational and grand challenge problems in
     molecular biology and genetics
 --- algorithms and methodologies
 --- issues of multiple datatype databases
*Computational Pharmacology, Pharmacodynamics, 
    Drug Design
*Computational Chemistry as Applied to Clinical Issues
*Computational Cell Biology, Physiology, 
    and Metabolism
 --- Single cell metabolic models (red blood cell)
 --- Cancer models
 --- Transport models
 --- Single cell interaction with external factors 
     models (laser, ultrasound, electrical stimulus)
*Computational Physiology and Metabolism
 --- Renal System
 --- Cardiovascular dynamics
 --- Liver function
 --- Pulmonary dynamics
 --- Auditory function, coclear dynamics, hearing
 --- Reproductive modeling: ovarian dynamics, 
     reproductive ecotoxicology, modeling the 
     hormonal cycle 
 --- Metabolic Databases and metabolic models
*Computational Demography, Epidemiology, and 
 --- Classical demographic, epidemiologic, 
     and biostatistical modeling
 --- Modeling of the role of culture, poverty, 
     and other sociological issues as they 
     impact healthcare 
 --- Morphometrics
*Computational Disease Modeling
 --- AIDS
 --- TB
 --- Influenza
 --- Statistical Population Genetics Of Disease
 --- Other
*Computational Biofluids
 --- Blood flow
 --- Sperm dynamics
 --- Modeling of arteriosclerosis and related
*Computational Dentistry, Orthodontics, and 
*Computational Veterinary Medicine 
 --- Computational issues in modeling non-human 
     dynamics such as equine, feline, canine dynamics 
*Computational Allied Health Sciences
 --- Physical Therapy
 --- Neuromusic Therapy
 --- Respiratory Therapy
*Computational Radiology
 --- Dose modeling
 --- Treatment planning
*Computational Surgery
 --- Simulation of surgical procedures in VR worlds
 --- Surgical simulation as a precursor to surgical 
 --- The Visible Human
*Computational Cardiology
*Computational Nursing
*Computational Models In Chiropractice
*Computational Neurobiology and Neurophysiology 
 --- Brain modeling
 --- Single neuron models
 --- Neural nets and clinical applications
 --- Neurophysiological dynamics 
 --- Neurotransmitter modeling
 --- Neurological disorder modeling (Alzheimer's 
     Disease, for example)
 --- The Human Brain Project
*Computational Models of Psychiatric and Psychological
*Computational Biomechanics
 --- Bone Modeling
 --- Joint Modeling
*Computational Models of Non-traditional Medicine
 --- Acupuncture
 --- Other
*Computational Issues In Medical Instrumentation
 Design and Simulation
 --- Scanner Design 
 --- Optical Instrumentation
*Ethical issues arising in the use of computational
 technology in medical diagnosis and simulation
*The role of alternate reality methodologies
 and high performance environments in the medical and
 public health disciplines
*Issues in the use of high performance computing 
 environments in the teaching of health science 
*The role of high performance environments
 for the handling of large medical datasets (high
 performance storage environments, high performance
 networking, high performance medical records 
 manipulation and management, metadata structures
 and definitions)
*Federal and private support for transdisciplinary 
 research in computational medicine and public health


*CONFERENCE CHAIR: Matthew Witten, UT System Center 
For High Performance Computing, Austin, Texas
m.witten at chpc.utexas.edu

Regina Monaco, Mt. Sinai Medical Center
Dan Davison, University of Houston  
Chris Johnson, University of Utah 
Lisa Fauci, Tulane University 
Daniel Zelterman, University of Minnesota Minneapolis
James Hyman, Los Alamos National Laboratory
Richard Hart, Tulane University  
Dennis Duke, SCRI-Florida State University  
Sharon Meintz, University of Nevada Los Vegas  
Dean Sittig, Vanderbilt University  
Dick Tsur, UT System CHPC  
Dan Deerfield, Pittsburgh Supercomputing Center 
Istvan Gyori, University of Veszprem (Hungary)
Don Fussell, University of Texas at Austin  
Ken Goodman, University Of Miami School of Medicine  
Martin Hugh-Jones, Louisiana State University 
Stuart Zimmerman, MD Anderson Cancer Research Center  
John Wooley, DOE  
Sylvia Spengler, University of California Berkeley   
Robert Blystone, Trinity University 
Gregory Kramer, Santa Fe Institute
Franco Celada, NYU Medical Center
David Robinson, NIH, NHLBI
Jane Preson, MCC
Peter Petropoulos, Brooks Air Force Base
Marcus Pandy, University of Texas at Austin
George Bekey, University of Southern California
Stephen Koslow, NIH, NIMH
Fred Bookstein, University of Michigan Ann Arbor
Dan Levine, University of Texas at Arlington
Richard Gordon, Universi

More information about the Arab-gen mailing list

Send comments to us at biosci-help [At] net.bio.net