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This three volume series represents a selected and refereed collection of papers contributed by the participants of the First World Congress on Computational Medicine, Public Health, and Biotechnology, held in 1994 at Austin, Texas. Over 500 individuals, from 30 countries attended this meeting. In addition, this collection contains a number of papers from the Australian CSIRO High Performance Computing Meeting held that same year.
Contents:
- Part 1:
- Molecular Modeling of DNA-Drug Complexes as a Tool in the Design of New Antitumor Agents (W A Remers et al.)
- Computational Study of the Mechanism of Influenza Virus Neuraminidase (B J Smith)
- New Lead Discovery in Drug Development (R T Mosely et al.)
- Modeling the Anticarcinogenic Potency of Retinoids by the Oasis Method (D Bonchev et al.)
- Statistical Analysis of Known Proteins in Sequence Databases and Coding Region Prediction (H A Lim & V B Strelets)
- The Evolution of Homeobox Genes: Experimental and Theoretical Approaches (C Kappen)
- and other papers
- Part 2:
- Three-Dimensional Ultrasound Visualization (T R Nelson)
- A Knowledge-Based Toolkit for the Automated Analysis of Echocardiogram Images (E E S Ruiz & M C Fairhurst)
- Controlled Improvement and Assessment of Digital Intraoral Radiographs for Quality Assurance in Oral Health Care (S Koch et al.)
- Using AVS to Perform Ultra-Fast Magnetic Resonance Imaging (R McColl et al.)
- Constraining High-Density ERP Source Analysis Using Functional MRI (M Worden et al.)
- Enchancement of Medical Images Using Rough Sets (Z M Wojcik)
- and other papers
- Part 3:
- Monte Carlo Studies of Bremsstrahlung Spectra of Medical Accelerators (J E Rodgers et al.)
- Three-Dimensional Radiotherapy Treatment Planning (G Starkschall)
- Performance Enhancement of a Conformation Radiotherapy Optimization Algorithm Using Dynamic Relaxation (Y Yuan et al.)
- COMPATHS: Computational Model of Patient Health Status (V I Nenov & W Read)
- The Use of Time-Delay Neural Networks to Classify Hemodynamic Patterns in an Animal Model (B Parmanto et al.)
- Predicting Head Injured Patient's Outcome: A Neural Expert System (F Paccagnella et al.)
- and other papers
Readership: Medical researchers in epidemology, biomedical engineering and biomechanics, biotechnologists, biophysicists, neuroscientists, oncologists, computer scientists, biochemists, biomathematicians, electrical & electronics and mechanical engineers.
