Abstract
This project aims to develop and validate a predictive model to assess the risk of malignant transformation in oral potentially malignant disorders (OPMD), based on the integration of clinical, histopathological, and cytometric data. By employing machine learning and flow cytometry, the proposal seeks to overcome the limitations of isolated biomarkers, offering a robust, scalable, and cli…