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		April 28, 2014
	
	Archived: Understanding Complex Diseases Through Computation

Scientists developed a computational method that could help identify various subtypes of complex diseases. Credit: Stock image
 of Carnegie Mellon University and Sally Wenzel of the University of Pittsburgh, used a computational approach developed by Wu to identify several patient clusters consistent with known subtypes of asthma, as well as a possible new subtype of severe asthma that does not respond well to conventional drug treatment. If supported by further studies, the researchers’ proposed approach could help improve the understanding, diagnosis and treatment not just of asthma but of other complex diseases.
This work also was funded by NIH’s National Heart, Lung, and Blood Institute.
Learn more:
Carnegie Mellon University News Release
 of Carnegie Mellon University and Sally Wenzel of the University of Pittsburgh, used a computational approach developed by Wu to identify several patient clusters consistent with known subtypes of asthma, as well as a possible new subtype of severe asthma that does not respond well to conventional drug treatment. If supported by further studies, the researchers’ proposed approach could help improve the understanding, diagnosis and treatment not just of asthma but of other complex diseases.
This work also was funded by NIH’s National Heart, Lung, and Blood Institute.
Learn more:
Carnegie Mellon University News Release 
