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on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
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will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage
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, metabolomics, clinical samples, and animal models to accomplish these goals. The results will lead to the development of novel therapeutic strategies for the clinically relevant molecular subsets of lung cancer
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with neurologic conditions. In addition, faculty will benefit from the existing infrastructure provided by the Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health
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to transcriptomics Extract, analyze, and evaluate experimental data Develop and establish research controls and standards, including animal models (mouse) Plan and write manuscripts, articles, abstracts, and research
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high performing in 14 out of 20 common procedures and conditions, including abdominal aortic aneurysm repair, aortic valve surgery, heart attack, heart bypass surgery and heart failure. The University