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Clinicians have become subspecialised, with an increasing amount of knowledge about an often small part of medicine.
These study designs can be useful tools for summarizing the increasing amount of knowledge that is gained from scientific papers on a certain topic.
Clinicians have become subspecialised, with an increasing amount of knowledge about an often small part of medicine, and the only way for radiologists to assert their role in such an environment is to be clinical partners, with equal knowledge about a medical subspecialty and to take an active part in clinical decision-making.
Hence, they enable researchers to make better use of the increasing amount of knowledge available in this format.
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Increasing amounts of knowledge of different types (concepts and data) will thus have to be included in systemic approaches that are developed in the agronomic domain.
With an increasing amount of new knowledge and the expansion of radiology it is challenging for the individual radiologist to maintain the necessary expertise in all fields.
The understanding of general models of carcinogenesis have not advanced substantially over the last years despite a rapidly increasing amount of detailed knowledge in molecular biology, genetics and epidemiology, and it has been difficult to come up with specific hypotheses in order to test existing models.
The development of various high-throughput screening methods resulted in an ever increasing amount of biological knowledge.
Age was significantly correlated with interest/knowledge, r = .256, p = .005, with older participants expressing an increasing amount of interest in and knowledge of evolutionary theory, as we would expect.
There is an increasing amount of research into new models of knowledge transfer, and evaluations of interventions such as knowledge brokerage.
However, the rapidly increasing amount of fully sequenced organisms without much background knowledge about their gene regulatory repertoire strongly restricts our alternatives to computational methods that utilize sequence-based evolutionary conservation.
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