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2000

A model for continuously mutant HIV-1

Horacio Ortega, Miguel Martin-Landrove

 

Proceedings of the 22"d Annual EMBS International Conference, July 23-28,2000, Chicago IL.

 

In this model we use the immunodominance concept introduced by Nowak et a& (1995) for explaining variations in the immune response induced against virus having mutant epitopes. We propose as source of free virions, mononuclear peripheral blood cells such as macrophages, in addition to the currently accepted one, the T-CD4 cells. Our model suppose healthy and infected reservoirs, virions, T-helper and cytotoxic cells. Reservoirs after infected by virus, and exhibit viral epitopes. They are attacked by cytotoxic cells addressed against those epitopes seen by the immune system. We also propose extra cellular T-helper cell coordinated attack against free virions. We begin studying just one viral variant, and after making some approximations, we find a stability criterion that allows differentiating control from viral outgrowth. When analyzing the system without any approximation, we find no analytical solution, but numerical simulations show that a) the precedent criterion is, however, useful, in determining the system evolution, and b) cytotoxic cell attack against reservoirs is a powerful resource in viral control. We then generalize our model to situations with N epitopes, each one with M viral variants (for simulations N=M=2), and we use a Metropolis-like algorithm for generating viral variants. Viral mutability and number of viral variants are related to viral progression. Our results suggest that it is important to include in the therapy control mechanisms for avoiding viral invasion and proliferation inside reservoirs. Until this goal is achieved avoiding infection is the only safe measure against AIDS.

Evaluation of malignancy in tumors of the central nervous system using fractal dimension

Démian Pereira, Cira Zambrano, Miguel Martín-Landrove

 

Proceedings of the 22"d Annual EMBS International Conference, July 23-28,2000, Chicago IL.

 

In this work, we propose the use of the concepts of Fractal Dimension and Digital Image Processing, as a possible methodology to characterize the degree of malignancy of neoplastic structures located in the Central Nervous System. The images were detected by Magnetic Resonance Imaging (MRI) techniques including Proton Density, T1, and T2 images. Malignant lesions (Gliomas) were compared with benign ones (Cysts). The Correlation Dimension, Lyapunov Exponents and Information Dimension were used as the relevant geometrical properties to characterize the irregular edge present in a particular structure. The edge was obtained by means of an edge detector operator and afterwards a codification procedure based on Fourier Descriptors was used to generate a numerical array or Time Series. The analysis of the processed images revealed that the relevant geometrical properties exhibit a different behavior in the case of gliomas compared to cystic lesions, a fact that can be used by the physician as an auxiliary tool to evaluate the malignancy of neoplastic structures in the brain.

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Bayesian hierarchical model with wavelet transform coefficients of the ECG in obstructive sleep apnea screening

F. Ng, I. Garcia, P. Gomis, A. La Cruz, G. Passariello, F. Mora

 

Computers in Cardiology 2000. Vol.27, 275-278

 

The Wavelet Transform allows one to analyze the properties of a variety of signals: one being able to emphasize changes in either the time or the frequency domain once the appropriate scale is chosen. Since a signal can be expressed in terms of coefficients from wavelet functions, the behavior of this signal could be sparsely represented in these functions, expressing possible properties behind nonstationary signals. Recently, methods based on hierarchical Bayes analysis have been found to be a feasible tool in the approach of physical science and engineering applications. In order to participate in the apnea screening event at the Computers in Cardiology Challenge 2000 and estimate a model that could bring one to an adequate classification between groups the authors developed the present methodology.

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