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The generation of induced pluripotent stem (iPS) cells will potentially allow increasing the probability of success of therapies for neurodegenerative diseases and others in the future. The following experimental work is focused on the analysis of the influence of different culture conditions, either using feeder layers or feeder-free coating substrates, such as the composition of the respective culture...
Although vaccination is still the most cost-effective strategy for tuberculosis control, there is an urgent need for an improved vaccine. Current BCG vaccine lacks efficacy in preventing adult pulmonary tuberculosis, the most prevalent form of the disease. Targeting nasal mucosa, Mycobacterium tuberculosis infection site, will allow a simpler, less prone to risk of infection and more effective immunization...
Electronic Nose (e-nose) is an intelligent instrument that is able to classify different types of odours. The e-nose applications include food quality assurance, fragrance industry, medical diagnosis, environmental monitoring, agricultural industry and homeland security. The current enose design trend are portable, small size, low power consumption, high processing power using embedded controller...
In a society, some social contacts are stable which can preserve for a long time, while others are unstable which persist only for a short time. In this paper, we study the epidemic spreading on a network, referred as partial dynamic network, in which most connections are stable while the others are dynamic. Our analysis and simulations reveal that a larger fraction of dynamic connections may lead...
The analysis of anti-nuclear antibodies in HEp-2 cells by indirect immunofluorescence (IIF) is fundamental for the diagnosis of important immune pathologies; in particular, classifying the staining pattern of the cell is critical for the differential diagnosis of several types of diseases. Current tests based on human evaluation are time-consuming and suffer from very high variability, which impacts...
A major public health problem in Thai population is due to Malaria. This disease is caused by the multiplication of protozoa parasite of the genus Plasmodium; Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae and Plasmodium ovale. Malaria is found along the border with Burma, Cambodia and Malaysia. There are the different transmission rates of this disease between Thai juvenile and adult...
In this paper, we study the Lyapunov functions to show the stability of Leptospirosis transmission model. Leptospirosis is the most common bacterial zoonosis worldwide, caused by spirochetes of the genus Leptospira that are transmitted from infected animals to humans. The population of the human population is divided into four compartments, Susceptible, Exposed, Infectious and Recovered. The mouse...
This paper presents counting number of points for the P.acne vulgaris using UV Fluorescence and image processing. This proposed method uses a process of image processing as follows. Cropping a UV image is to select a region of interest and, then the cropped image is resized for a suitable size and it (or the color image) is converted to a gray image. Quality of this gray image will be improved for...
The burden of lifestyle diseases such as diabetes have reached epidemic proportions since the last decade in India. An estimated 75 million people in India would become diabetic by 2025. However, the existing healthcare infrastructure is inadequate to meet the demands of this exploding population. Provisioning a web-based patient support system that helps in patient centered decision making and physician...
Realistic agent-based epidemic simulations usually involve a large scale social network containing individual details. The co-evolution of epidemic dynamics and human behavior requires the simulation systems to compute complex real-world interventions. Calls from public health policy makers for executing such simulation studies during a pandemic typically have tight deadlines. It is highly desirable...
Insects are intimately connected to human life and well being, in both positive and negative senses. While it is estimated that insects pollinate at least two-thirds of the all food consumed by humans, malaria, a disease transmitted by the female mosquito of the Anopheles genus, kills approximately one million people per year. Due to the importance of insects to humans, researchers have developed...
The recent success of genome-wide association (GWA) studies has greatly expanded our understanding of many complex diseases by delivering previously unknown loci and genes. A large number of GWAS datasets have already been made available, with more being generated. To explore the underlying moderate and weak signals, we recently developed a network-based dense module search (DMS) method for identification...
Next-generation sequencing technology provides greater sequencing capacity to identify disease-causing variations. Currently there are many alignment tools and variation detection techniques, multiple SNP data sets used to filter out benign polymorphisms with the intent of enriching for disease-causing variations, and many tools and websites for annotating variations and performing pathogenicity prediction...
The diagnosis of difficult and complicated cases in Traditional Chinese Medicine (TCM) often requires experts to cooperatively work together. The right experts and their ability to jointly make the suitable diagnostic decisions are key for resolving the diagnosis. The methodologies described here have been developed for (1) effectively making an initial diagnosis or narrowing down the possible syndrome...
New mobile phones equipped with multiple sensors provide users with the ability to sense the world at a microscopic level. The collected mobile sensing data can be comprehensive enough to be mined not only for the understanding of human behaviors but also for supporting multiple applications ranging from monitoring/tracking, to medical, emergency and military applications. In this work, we investigate...
Because almost all nations have come into aging society, it has been much more important to provide systems approach on health care than ever. There are many studies on human body from the view points of diseases however health has not been clearly defined. It would be difficult to clarify the notion of health because of various concepts of values and some cultural issues. With regarding this situation,...
The recent adoption of ubiquitous computing technologies has enabled capturing large amounts of human behavioral data. The digital footprints computed from these datasets provide information for the study of social and human dynamics, including social networks and mobility patterns, key elements for the effective modeling of virus spreading. Traditional epidemiologic models do not consider individual...
Through analyzing the characteristics of human daily behavior based on contact data of students in the real world, and combining the complex network theory, a student social contact networks model was proposed. The basic statistical distribution results show that the model has the property of small world network. The analysis of human contact process is helpful to identify the human behavior law.
In order to better express, organize and store all kinds of medical and health information, achieve information exchange and sharing, promote information integration and fusion, form the decision support of various types intelligence and knowledge, meet the needs of the clinical, research and management for comprehensive utilization of various information, ultimately improve the medical and health...
To help the biomedical scientist pre-confirm the disease-related genes, we considered these gene as a whole research set and analyzed the topological features of their interaction network. Two strategies had been proposed to construct the disease-related gene network from the OMIM database. Using these two constructed sets, we trained two support vector machine prediction models, the accuracy of which...
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