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Integrating genomic data from different ancestries reduces bias in predicting disease risk
Researchers have developed a promising new tool that accurately uses genomic data to predict disease risk across diverse populations.
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Shanghai Jiao Tong University
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Proteomic map of human lung adenocarcinoma revealed
The proteomic map based on data from 103 patients reveals novel prognostic biomarkers and potential drug targets for lung adenocarcinoma.
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Researchers identify promising drug combination for tuberculosis
29 March 2016 | By Victoria White
Researchers used feedback system control to quickly narrow combinations of 14 different tuberculosis drugs with five different doses into several promising combination treatments...