The study Alzheimer's disease by Ali A. Al-Hashem, Rashad Al-Ghamdi, Mohammed Al-Jassem and Richele Reynolds is fundamentally focused on the aspects of the disease itself. It is well reported that due to Alzheimer’s pathology, the patients were experiencing problems like dementia, mild cognitive impairment. But now with the help of biomarkers and other imaging in both blood and spinal fluid, the researchers are able to decide what the changes in the brain and other body fluids in the case of Alzheimer’s disease are. Biomarkers, one of the most important parts of the bioinformatics tools, are being continuously employed to the general research setting to find out what is the basic onset process of the disease and what the progression of the disease is. Along with that some important clinical tests and validation processes are also needed in the treatment of Alzheimer’s disease.
However, a significant question remains in this context.
1. How is bioinformatics helpful to this disease?
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2. How is it possible to compile the emission topography and cerebrospinal fluid analysis result in an error free manner?
3. How is it possible to enumerate biomarkers?
With the development in bioinformatics, Molloy and Caldwell (2003) notes, the clinical diagnosis criteria of Alzheimer’s disease are being revised after a long gap of 27 years. Bioinformatics have provided the researchers to find out new approaches for the clinicians and the scientists alike. Initially, the disease was being identified and after when it became severe the treatment processes began. But the recent discoveries of bioinformatics have changed the entire concept. With the help of the bioinformatics tools, it is evident that the full spectrum of the disease can be clearly noticed. According to Molloy and Caldwell (2003) there are three different stages in the discovery of Alzheimer’s disease. The first stage is the pre-clinical stage. In the stage, the brain changes along with the Amyloid build up, with some early nerve cell changes. Sometimes these nerve cell changes start already. Initially there was no diagnosis of the process as there were no clinical symptoms seen. But with the advent of bioinformatics, the general amyloid build up can be detected with the positron emission topography and cerebrospinal fluid analysis. There are a number of tests are being developed and it is believed that along with these biomarkers, it will be quite easy to detect Alzheimer’s disease in the very beginning.
In the study Truvada Drug by Gary Billings Abdulmalik Alsaif and Abdulaziz Alghafely the researchers looks into the parameter of the use of Truvada Drug in the context of HIV cure. A large area is taken into consideration possible risks of the drug. The entire study is well formulated and the presentation is extremely lucid. A non-participant case study approach is adopted while designing the research. This methodology was chosen for the practicality associated with such an approach. It provides a vivid explanation of the situation rather than restricting interpretations based on some facts and empirical figures. A non-participant approach is adopted to eliminate the bias nature of observations in the study. Many critics of this approach feel that this approach suffers from the limitation of subjectivity. However the authors feels that subjectivity is used as an advantage in this case as it is most appropriate to answer the research question and meet the objectives of the research.
However, there are major issues related to the study.
1. How is it possible to control the spread of disease?
2. What is the potential of reactivation?
3. How can the measurement be error free?
There are a number of alternative theories relating to AIDS. Though in a petit way a small segment of social activists as well as scientists are forwarding some fundamental questions. The premium of those questions relates to the direct relation between HIV and AIDS. Some of them are even questioning the existence of HIV. Others are more concerned with the method of testing or the validity of the test results. It is but obvious that these questions or claims would be confronted by substantial resistance. Not surprisingly this resistance is coming from the branch of the scientific communities that believe in the test and the test results. According to the supporters of AIDS test results or that of supporters of existence of HIV these communities ignoring the laid down methods are sure to make way for a calamity that is the best possible recipe for disaster in the near future.
Does Sugar Make you Stupid
The study Does Sugar Make you Stupid by Corina Benjamin, Jiarui Pang and Abdulhadi Almarri is an important research work that is carried out as a qualitative case study methodology. The rationale for selecting the case study approach as a research tool is the contextual and focused approach it provides. Further, it provides insightful technical and appropriate information in relation to the context. It allows the researcher a more flexible means of gathering information and provides a comprehensive understanding of the situation. The extent of generalisability can be an issue in this case as it can be difficult of gain a broader perspective on the context due to its focused nature. However, in answering this particular research question generalisability does not emerge as a major concern as measures taken and approaches adopted to meet and exceed environmental standards remain pretty much the same across events up to a certain degree.
1. How can maze study become reliable?
2. How is insulin used in the study?
3. How can sympathetic activity be defined?
This approach was selected due to the lack of easily available and substantial statistics as the implementation of the standards was relatively new. Another rationale for selecting this approach was the power of this approach to encompass a great diversity of different research variables and factor that are generally overlooked or perhaps omitted deliberately in an experimental approach. It also serves the purpose of the research as selecting this particular case study clearly determines the feasibility, efficacy and benefits of implementing the standard. A major drawback for this kind of a research tool is it subjectivity in presenting data and the extent of generalisability. Critics may argue that analyzing just a particular case limits the scope of the project and makes it difficult to sense its implications in a broader context.
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