Xem 1-20 trên 25 kết quả Clustering of disease
  • Red Lesions Cutaneous lesions that are red in color have a wide variety of etiologies; in an attempt to simplify their identification, they will be subdivided into papules, papules/plaques, and subcutaneous nodules. Common red papules include arthropod bites and cherry hemangiomas; the latter are small, bright-red, domeshaped papules that represent benign proliferation of capillaries.

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  • Public health has been defined as the “science and art of prolonging life, preventing disease, and promoting health through organized efforts of society.” The geographical perspective is a key aspect of public health. Populations and communities are geographically distributed and communities tend to have their own defining characteristics.

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  • Running today’s non-critical business applications in virtualized environments has shown to be efficient and cost saving. More sophisticated or highly available applications on the other hand were most likely incompatible with commonly used software based virtualization solutions. The availability of Oracle VM overcomes this obstacle.

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  • Phenotypic Heterogeneity Phenotypic heterogeneity occurs when more than one phenotype is caused by allelic mutations (e.g., different mutations in the same gene) (Table 62-4). For example, laminopathies are monogenic multisystem disorders that result from mutations in the LMNA gene, which encodes the nuclear lamins A and C. Twelve autosomal dominant and four autosomal recessive disorders are caused by mutations in the LMNA gene.

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  • Jillian J Francis*1, Martin P Eccles2, Marie Johnston3, Paula Whitty2, Jeremy M Grimshaw4, Eileen FS Kaner5, Liz Smith6 and Anne Walker1 Address: 1Health Services Research Unit, University of Aberdeen, Aberdeen, UK, 2Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK, 3College of Life Sciences and Medicine, University of Aberdeen, Aberdeen, UK, 4Clinical Epidemiology Program, Ottawa Health Research Institute and Department of Medicine, University of Ottawa, Ontario, Canada, 5Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK and 6Manchest...

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  • The problem breaks down into two parts: defining the clusters (i.e., a list of members for each family) and building multiple alignments of the members. Previous approaches to construct comprehensive fam- ily databases have either concentrated on aligning short conserved regions, 6–8 often starting from the manually constructed clusters in Prosite, 9 or full domain alignments using either clusters that were derived manually from PIR2 or automatically. 10 An issue here is whether to aim for conserved regions only or whole domain alignments.

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  • UNA BEGAN GETTING headaches when she was thirteen. “At first,” she explains, “they were few and far between but [over time] . . . they became worse and more frequent. I went to my doctor and was diagnosed with migraine [a type of headache].”1 During the next few years, Una’s headaches worsened. By the time she reached her final year of high school, she had been hospitalized twice due to debilitating headaches and missed over six weeks of school in one year. In fact, because of her headaches, Una doubted whether she would be able to pass her final exams and graduate....

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  • An unusually large number of people sickened by a disease in a certain place and time is known as a ‘disease cluster’. Clusters of cancer, birth defects, and other chronic illnesses have sometimes been linked to chemicals or other toxic pollutants in local communities, although these links can be controversial. There is a need for better documentation and investigation of disease clusters to identify and address possible causes.

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  • This book describes different perspectives of childhood acute lymphoblastic leukemia. The approach includes aspects of molecular epidemiology, particularly molecular features that influence the genesis and prognosis of the disease. Some aspects of the prognosis of lymphoblastic leukemias are very detailed, highlighting the use of molecular biology in the early identification of complications that may occur in diseased patients.

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  • Integrate social and emotional development into existing programs and services. States can use current systems and funding to expand their capacity to support early childhood social, emotional and behavioral health. States could use Medicaid to promote healthy development through routine developmental screenings and care coordination, utilize Head Start to support parent education, provide training and professional development to early childhood programs and agencies and use federal funds to enhance their state’s capacity.

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  • There is a need for development of new diagnostic tools to allow earlier detection of active disease, predict disease progression and evaluate the response to periodontal therapy, thereby improving the clinical management of patients with periodontal diseases. Advances in periodontal diseases diagnostic research are moving toward methods whereby periodontal risk can be identified and quantified by objective measures such as biomarkers.

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  • A clustering of the disease among close relatives has also been shown, although there is no consensus on which inheritable genetic defects are involved. In spite of extensive research, reliable findings on risk factors relating to lifestyle, diet or the environment remain elusive. Possible lifestyle risk factors are high intakes of α-linolenic acid (a polyunsaturated fatty acid in vegetables and dairy products) and calcium.

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  • The first rudimentary notion of what can be called risk, may have arisen, according to Covello and Munpower (1985), around 3200 BC in the valley between the Tigris and Euphrates Rivers, where lived a group called “Asipu”. A major function of this group was to help people who needed to make difficult decisions. The “Asipus”, when sought, identified the scale of the problem, the alternatives and the consequences of each alternative. Then, they drew up a table, marking the positive and negative points of each alternative to indicate the best decision....

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  • Sarcoidosis is one of the best-known systemic granulomatous diseases. Despite intensive investigation, however, the etiology of sarcoidosis has remained unresolved for more than 100 years [1]. Sarcoidosis seems to result from the exposure of a genetically susceptible subject to an environmental agent, and microbial etiologies of sarcoidosis have long been considered based on the clinical similarities to infectious granulomatous diseases [2].

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  • In the first workshop, the experts pointed out thematic clusters for future research according to their opinion and experience. These clusters were defined in a guided brainstorming process. References to existing and past research programmes and initiatives were minimised to ensure a creative approach to the topic. The resulting thematic landscape of research issues, which included a broad range of topics from e.g. functional food over the generation of new raw material to traceability and labelling systems, was subsequently checked for comprehensiveness and put into a logical order.

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  • Harrison's Internal Medicine Chapter 79. Cancer Genetics Cancer Is a Genetic Disease Cancer arises through a series of somatic alterations in DNA that result in unrestrained cellular proliferation. Most of these alterations involve actual sequence changes in DNA (i.e., mutations). They may arise as a consequence of random replication errors, exposure to carcinogens (e.g., radiation), or faulty DNA repair processes. While most cancers arise sporadically, familial clustering of cancers occurs in certain families that carry a germline mutation in a cancer gene.

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  • The need to identify patterns of illness and disease is not uncommonin public health, for example the identification of disease clusters and tendencies toward clustering, such as outbreaks of communicable disease (e.g., tuberculosis), and higher than expected prevalence=incidence of diseases (e.g., childhood leukemia). The basic building blocks or units for such patterns may be individuals or geographical units, but the key factor is the association between units in terms of time, space, or other complex links.

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  • The growing worldwide epidemic of metabolic syndrome and other chronic degenerative diseases continues to expand, with a rapid decrease in the age at which they are being diagnosed (Guarnieri et al.; 2010; Hsueh & Wyne, 2011). Metabolic syndrome is a multifactorial disorder, strongly influenced by several lifestyle factors, with symptoms clustering on abnormalities that include obesity, hypertension, dyslipidemia, glucose intolerance and insulin resistance (Guarnieri et al.; 2010; Tanaka et al.; 2006).

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Phenotypic instability of Arabidopsis alleles affecting a disease Resistance gene cluster

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  • Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article A New-Fangled FES-k -Means Clustering Algorithm for Disease Discovery and Visual Analytics

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