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In the two largest clinical studies ever conducted on the molecular genetics of lung cancer, an international team led by scientists at the University of California, San Francisco (UCSF) has demonstrated that an available molecular test can predict the likelihood of death from early-stage lung cancer more accurately than conventional methods.
Bioinformatics was the focus of this year’s daylong UCSF School of Medicine leadership retreat on January 20. Campus leaders examined the question of how to optimally develop, organize and integrate clinical-outcome data, research data, business intelligence, and population data.
