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development of a custom ground-based platform for efficient and accurate collection of sensor data. This platform will support the integration of machine learning models for real-time decision-making, enabling
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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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a strong economy based on government as well as service, transportation, and technology industries. Additional information about the Columbus area is available here . In addition to its Columbus
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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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supported by our Immune Monitoring and Discovery Platform (IMDP), which provides comprehensive cell-based and molecule-based immunoassay services to support basic, translational, and clinical IO studies