In recent years, more professionals are turning to computer based tools for research and analysis. The rapid advancement of computing in the past few decades has created new opportunities that were previously unavailable. Because of these tools, many researchers have been able to achieve breakthroughs in their research with considerably less effort than it would have been possible without them using advanced visualization software. Computers and visualization tools for the research field are therefore helping researchers to make more discoveries and progress in their fields.
One of the most common areas where these tools are used is in the field of medicine. There are a number of distinct areas where they are particularly helpful. Cardiac research is one area in which a computational framework has made massive strides forward. Until recently, the diagnosis and treatment of cardiac conditions such as congenital heart disease was largely conducted by physicians through the use of a rather traditional method of investigation. However, it has become increasingly difficult for physicians to make decisions about patients who exhibit cardiogenic shock, even when conclusive diagnostic tests are obtained. However, thanks to sophisticated new tools, cardiologists are now able to make a definitive diagnosis much faster and with a much lower rate of error.
In the area of statistics, researchers have also made great advances. Until recently, it was nearly impossible to evaluate statistical results statistically, especially with the advent of sophisticated computing and visualization technologies. Thanks to advancements in these tools, however, researchers are now able to generate high quality quantitative results in a timely fashion. The results of such studies provide objective insight into how data is affecting the statistical distributions. This helps to create accurate and reliable estimates of the public health impact of different interventions and actions, as well as the potential risks that may arise from those interventions and actions.
In both fields, new methods of analysis and visualization tools have led to improvements in the level of precision and sophistication of the methods that researchers carry out their research on large and complex problems. By utilizing high-end computing and visualization tools, researchers are able to: analyze large sets of data using fewer and less wasteful means; test various models without needing to conduct an experiment on real animals; examine relationships between variables and specific variables by varying the model that is used; and construct accurate predictive charts by taking into account the spatial patterns observed in the data. In recent years, medical research has begun to utilize satellite imaging in order to study tissue damage due to diseases and injuries. These satellite images can then be provided to researchers who need a detailed medical record of the disease state of the patient in order to formulate an accurate prognosis. Medical researchers are finding that this method allows them to study the response of the body to a disease in real time, rather than waiting for laboratory results that can be months or even years old. Additionally, medical imaging allows researchers to study tumors in a manner that is completely non-invasive.
Computer social computing is another tool that is becoming extremely important in the 21st century. In the field of philanthropy, researchers are developing tools such as Crowdsourcing, Digital Text Analysis and Social Network Analysis in order to solve complicated research questions. This type of computing helps raise millions of dollars for research by allowing internet users to submit answers to research questions asking them to describe the problem at hand and how they solved it. This type of social computing is also paving the way toward more efficient and affordable scientific research tools.