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Disordered swallowing, or dysphagia, is a common problem seen in patients undergoing treatment for cancer, stroke and neurodegenerative illnesses. This disease is associated with aspiration-induced chest infections. The methods currently used for diagnosis, however, are qualitative or based on expensive equipment. Swallowing accelerometry is a promising low-cost, quantitative and noninvasive tool...
The effectiveness of an imaging technique is often based on the ability to image quantitatively both morphological and physiological functions of the tissue. Here we present several ultrasound-based imaging techniques capable of visualizing both structural and functional properties of living tissue. Each imaging system utilizes custom-made, targeted nanoparticles developed to probe specific molecular...
This paper presents a novel approach to simulate a Knowledge Based System for diagnosis of Breast Cancer using Soft Computing tools like artificial neural networks (ANNs) and Neuro Fuzzy Systems. The feed-forward neural network has been trained using three ANN algorithms, the back propagation algorithm (BPA), the radial basis function (RBF) Networks and the learning vector quantization (LVQ) Networks;...
The National Human Genome Research Institute and National Cancer Institute, National Institutes of Health, U. S. Department of Health and Human Services has recently lunched The Cancer Genome Atlas (TCGA) project an overarching goal of understanding the molecular basis of cancer to improve our ability to diagnose, treat and prevent cancer. The prognosis for many cancers could be improved dramatically...
We aim at finding the smallest set of genes that can ensure highly accurate classification of cancers from microarray data by using supervised machine learning algorithms. The significance of finding the minimum gene subsets is three-fold: 1) it greatly reduces the computational burden and "noise" arising from irrelevant genes. In the examples studied in this paper, finding the minimum gene...
Coherent backscattering (CBS) is a photon weak-localization phenomenon that gives rise to an enhanced backscattering of light by random media. This effect has been previously investigated using coherent light sources. Here we show that CBS can be observed using broadband low-coherence light. We demonstrate, for the first time to the best of our knowledge, that low-coherence detection substantially...
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