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New High-Resolution Imaging Technology Reveals COVID-19 Lung Pathology in Space and Time

New High-Resolution Imaging Technology Reveals COVID-19 Lung Pathology in Space and Time April 1, 2021 Share Using a new method called ‘high parameter imaging mass cytometry’ scientists visualize detailed cellular landscapes of the lung in infectious lung diseases at never-before-seen, single-cell resolution. With this new technique, investigators at Weill Cornell Medicine and New York-Presbyterian target the expression of 36 proteins, to probe into the cellular composition and spatial architecture of human acute lung injury including lung tissue infected by SARS-CoV-2, the coronavirus that causes COVID-19. Nature. The findings provide new insights into the causes of damage in these infectious lung diseases and a detailed resource for future investigations.

Cross-campus team probes gene-environment interactions

January 26, 2021 Researchers at Weill Cornell Medicine and Cornell’s Ithaca campus have developed a new computational method for studying genetic and environmental interactions and how they influence disease risk. The research, published Jan. 7 in The American Journal of Human Genetics, makes the process of finding these interactions much less difficult and demonstrates their importance in determining body mass index and diabetes risk. “Our study demonstrates that your genes matter and the environment matters and that the interaction of the two can increase risk for disease,” said co-senior author Olivier Elemento, a professor of computational genomics in computational biomedicine, professor of physiology and biophysics, associate director of the HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, and director of the Caryl and Israel Englander Institute for Precision Medicine at Weill Cornell Medicine.

Researchers develop new computational method for studying genetic and environmental interactions

Researchers develop new computational method for studying genetic and environmental interactions Researchers at Weill Cornell Medicine and Cornell University s Ithaca campus have developed a new computational method for studying genetic and environmental interactions and how they influence disease risk. The research, published Jan. 7 in The American Journal of Human Genetics, makes the process of finding these interactions much less difficult and demonstrates their importance in determining body mass index and diabetes risk. Our study demonstrates that your genes matter and the environment matters and that the interaction of the two can increase risk for disease, said co-senior author, Dr. Olivier Elemento, who is professor of computational genomics in computational biomedicine, professor of physiology and biophysics, associate director of the HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, and director of the Caryl and Israel Englan

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