2 resultados para T cell leukemia

em Digital Commons at Florida International University


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This research is to establish new optimization methods for pattern recognition and classification of different white blood cells in actual patient data to enhance the process of diagnosis. Beckman-Coulter Corporation supplied flow cytometry data of numerous patients that are used as training sets to exploit the different physiological characteristics of the different samples provided. The methods of Support Vector Machines (SVM) and Artificial Neural Networks (ANN) were used as promising pattern classification techniques to identify different white blood cell samples and provide information to medical doctors in the form of diagnostic references for the specific disease states, leukemia. The obtained results prove that when a neural network classifier is well configured and trained with cross-validation, it can perform better than support vector classifiers alone for this type of data. Furthermore, a new unsupervised learning algorithm---Density based Adaptive Window Clustering algorithm (DAWC) was designed to process large volumes of data for finding location of high data cluster in real-time. It reduces the computational load to ∼O(N) number of computations, and thus making the algorithm more attractive and faster than current hierarchical algorithms.

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Myocardial cell transplantation can compensate for the loss of necrotic cardiomyocytes. The objective of this research study was to reformulate the hydrogel with concentrations of growth factors, such as Leukemia Inhibitory Factor (LIF), Hepatocyte Growth Factor (HGF), and Interleukin-6 (IL-6). A controlled delivery system of PEO-PPO-PEO was formulated for release of a single growth factor and of multiple growth factors. Cytotoxicity and proliferation assay for single growth factors starting with 4000 skeletal myoblasts yielded their highest proliferation at 4 days with HGF (25,500 cells) and LIF (42,000 cells), while IL-6 (115,000 cells) generated its highest proliferation at 5 days. Combination of LIF and IL-6 resulted in highest proliferation at day 2 (220,000 cells), HGF and LIF (108,000 cells), and HGF and IL-6 (80,000 cells) both at 5 days. Viability at 37°C was maintained during the five days at 98-99%. The formulation was successful in myotube formation while maintaining a high purity of myoblasts in culture. The new formulation induced controlled release of growth factors and skeletal myoblasts delivery under favorable conditions while increasing the proliferation of myoblasts.