Stem cells 聳 Evaluating new epilepsy treatments as viable therapy Posted by universalposition on June 23rd DJ Chark Jersey , 2016
Just 20 years ago, stem cell discoveries were astonishing biologists around the world. Now, as stem cell therapies enter the practical stage of real-world treatments, they are astonishing doctors. This isn’t just “Big Science”; this is exploratory science, and research is ongoing into a treatment for a vast range of different conditions. New research covers everything from Alzheimer’s disease treatment to cystic fibrosis and other, very diverse medical conditions.
Alzheimer’s is a particularly complex, difficult medical condition to treat. This condition has been responsible for a lot of suffering affecting millions of people, and a lot of research has been conducted into better ways of treating it. Stem cell therapy is the new approach.
The management and treatment of Alzheimer’s can be a very traumatic process. The condition itself is a grim experience; historically, some of the conventional treatments have also been very frustrating, and not necessarily effective. Stem cell science is unlocking the secrets of effective treatments.
A company called Stem Cell America is currently conducting research and providing stem cell treatments for Alzheimer’s. This research and the new treatments are hoped to be real breakthroughs against one of the most demanding medical conditions.
In all medical research, there is an element of extremely hard work. Stem cell therapies must be tested, assessed, and refined to the point of being viable treatments. So far, the company has conducted its own research, and carried out therapeutic treatments which have received excellent reviews from patients and notable successes.
The strong positives here are that good indicators of improvement in memory function in Alzheimer’s patients as a result of stem cell therapy have been discovered. This is a significant breakthrough, opening up possibilities of major quality of life improvements and future therapies based on this type of treatment.
It’s hard to describe the extraordinary potential of stem cells in terms of therapeutic possibilities – Stem cells are very much a part of a huge range of potential new therapies for previously insoluble diseases. If you’d like to see how stem cell therapy works in practice, visit the company website here at , and see the real science at work.
Why is the use of statistics importance in a research study? Statistics refers to the science of collecting, analyzing, and making a reference from data. In research, the statistical methods and analysis are useful to communicate research findings and support hypothesis (Davidian & Louis 2012). It also gives credibility to the research methodology and conclusion. Statistics in research tend to enable the researcher to look at a large set of data and then condense it into meaningful information. Statistics plays a vital role in research as the use of statistics tends to guide the researcher in research for the proper characterization, summarization, interpretation, and presentation of the research results. Statistics is important as it help the researcher understand and describe phenomena in their word and help draw a reliable conclusion about the phenomena (Tomek & Schumacker 2013).
Discuss the value of quantitative and qualitative data in both methods in research Qualitative data consists of words while quantitative data consists of numbers (Skiadas & Katsirikou 2010). The data in qualitative studies tend to describe the qualities or the characteristics of something. The value of quantitative data is that it indicates repeatable specifics about the process being studied. In qualitative research, it requires flexibility. Thus, it allows the researcher to respond to user data as it emerges (Skiadas & Katsirikou 2010). On the other hand, qualitative data tend to indicate things that are probably good to know. Quantitative data is important because it allows for the comparison of the scale of development. The comparison can inform decision making in various ways.
Differentiate between descriptive statistic and influential statistic in research study Descriptive statistics is the type of statistical analysis that helps to describe data in some meaningful manner. In research, descriptive statistics usually give the summary of the sample and also the done observation (Kern, 2014). The summaries can either be graphical or quantitative. Inferential statistics is a type of statistics that deals with making a conclusion. It tends to inference about the predictions for the population. It is the procedure of drawing predictions and conclusion regarding the given data subjected to random variations. Descriptive statistics gives a description of the sample while inferential statistics tends to predict and infer about the larger data or population (Kern, 2014). The measures of descriptive statistics that include medium, mode, and mean are numbers. The measures of inferential statistics are not always exact numbers.
Discuss the limits of an investigator triangulation. Investigator triangulation involves including more than one investigator in the research process (Morrison et al. 2011). A limitation of investigator triangulation is that it can result in misconception. In investigator triangulation, it is wrong to assume that one investigator will corroborate another and is it defensible mostly in qualitative, reflexive inquiry.