** NOTE CHANGES IN SUBMISSION AND REGISTRATION DEADLINES **
FIRST WORLD CONGRESS
ON COMPUTATIONAL MEDICINE, PUBLIC HEALTH AND
BIOTECHNOLOGY
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
solicited.
2.0 CONFERENCE SCOPE AND TOPIC AREAS: The Congress
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:
*Visualization/Sonification
--- 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
disciplines
--- 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
Statistics/Biostatistics
--- 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
Processes
--- Other
*Computational Biofluids
--- Blood flow
--- Sperm dynamics
--- Modeling of arteriosclerosis and related
processes
*Computational Dentistry, Orthodontics, and
Prosthetics
*Computational Veterinary Medicine
--- Computational issues in modeling non-human
dynamics such as equine, feline, canine dynamics
(physiological/biomechanical)
*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
intervention
--- 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
Processes
*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
curricula
*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
3.0 CONFERENCE COMMITTEE
*CONFERENCE CHAIR: Matthew Witten, UT System Center
For High Performance Computing, Austin, Texas
m.witten at chpc.utexas.edu
*CURRENT CONFERENCE DIRECTORATE:
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
