id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-352348-2wtyk3r5	Sabroe, Ian	Identifying and hurdling obstacles to translational research	2007		.txt	text/plain	5307	229	39	The quality of our scientific output (perceived as a change in disease incidence and/or the development of a therapy) is largely dependent on the quality of the input data and the methods for their processing and interpretation, although the process of generating effective translational science is not as linear (that is, from molecules to models to humans) as is often thought. These revolve around our understanding of the nature of the translational process, the integration of the outputs of different technological approaches to disease, the use of models, access to tissues and appropriate materials, and the need for support in increasingly complex areas such as ethics and bioinformatics. Such debates might facilitate the comparison of data between laboratories and between species, and might highlight the components of specific diseases that are ripe for the development of new in vivo models and protocols (for example, there remains a great need to more effectively model the role of the innate immune system in acute and chronic asthma), broadening the number of disease processes or phenotypes that are modelled in pathology.	./cache/cord-352348-2wtyk3r5.txt	./txt/cord-352348-2wtyk3r5.txt