By Ülo Maiväli
Interpreting Biomedical technological know-how: test, proof, and trust discusses what can get it wrong in organic technological know-how, supplying an independent view and cohesive figuring out of medical tools, statistics, info interpretation, and medical ethics which are illustrated with useful examples and real-life functions.
Casting a large internet, the reader is uncovered to medical difficulties and options via trained views from historical past, philosophy, sociology, and the social psychology of technology.
The ebook indicates the diversities and similarities among disciplines and varied eras and illustrates the concept whereas sound technique is important for the development of technology, we won't prevail and not using a correct tradition of doing things.
- Features theoretical innovations observed through examples from organic literature
- Contains an advent to numerous tools, with an emphasis on statistical speculation testing
- Presents a transparent argument that ties the motivations and ethics of person scientists to the good fortune in their science
- Provides tips on tips on how to protect opposed to medical misconduct, fraud, and retractions
- Arms younger scientists with useful wisdom that they could use each day
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Extra resources for Interpreting Biomedical Science: Experiment, Evidence, and Belief
While research is all about generating new knowledge, development is (mostly) about engineering new products. For example, we might study the physiological mechanisms and molecular pathways of cancer, which will later be used in the development phase as potential drug targets. In a typical approach, when university researchers identify a protein, whose activation is associated with cancer, this knowledge can be licensed out to a pharmaceutical company, which then tests its huge chemical libraries to identify compounds, which inhibit the target molecule (Angell, 2004; LaMattina, 2008).
Chapter | 1 23 that look at the same clearly defined research question. Usually the objective is to critically evaluate all the available evidence that a single treatment works. This is very different from the conventional review format in biology, where the object is to give a review of the results (but usually not the methodology or biases) of recent studies in a wider field of science. Biological reviews usually assume that the individual studies under review are correct, while medical systematic reviews make no such assumption and try to critically compare all relevant independent studies.
China’s R&D spending is growing at the incredible rate of 18% (inflation-adjusted) and in 2011 it constituted 15% of the world’s R&D spending. In 2009 Asia held 34%, the United States 30%, and the EU 22% of the global R&D (National Science Board, 2013). If future manifests itself in the number of first university degrees awarded, then China, which awards 24% of the global total, should celebrate its victory over the EU (17%), and the United States with its 10% share is a spent force. 5% of global R&D, respectively.
Interpreting Biomedical Science: Experiment, Evidence, and Belief by Ülo Maiväli