HAL (France)
open access
Machine Learning to identify host- associated actionable biomarkers of cancer risk and response to immunotherapy
The efficacity of immune checkpoint inhibitor thérapies remains limited to a small subset of patients. Identifying circulating métabolites as prognostic biomarkers is an emerging strategy to predict and optimize therapeutic response. This thesis présents the intégration of large-scale targeted metab
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