Vol. 6 No. 04 (2025): Volume 06 Issue 04

This study presents an integrated machine learning framework for the early detection of oral cancer, leveraging both clinical data and high-resolution imaging. The research compared several algorithms, including logistic regression, decision trees, random forests, support vector machines, and convolutional neural networks, culminating in an ensemble model that combined clinical indicators with imaging features. Results demonstrate that while traditional models provided moderate diagnostic accuracy, advanced techniques, particularly the ensemble model, achieved superior performance with an accuracy of 91%, sensitivity of 89%, specificity of 92%, and an AUC of 93%. These findings highlight that multimodal data integration significantly enhances early detection capabilities, offering a robust and practical solution for clinical implementation. The proposed framework not only improves diagnostic precision but also supports timely interventions that can potentially reduce the morbidity and mortality associated with late-stage oral cancer.

COVID-19 has significantly impacted global health, with individuals experiencing various degrees of severity and complications based on several factors, including age, pre-existing conditions, and lifestyle behaviors. Physical activity is one lifestyle factor that has been suggested to potentially offer protection against viral infections, including COVID-19. This study investigates the protective effect of daily physical activity in preventing or mitigating COVID-19 outcomes in a young adult population on Reunion Island, an overseas French territory. Data was collected via surveys distributed to university students and young adults between the ages of 18 and 30, to understand the correlation between physical activity levels and the severity of COVID-19 symptoms experienced. The findings suggest that young adults who engaged in regular physical activity reported significantly fewer severe symptoms and faster recovery rates compared to their inactive counterparts. This study highlights the potential benefits of maintaining physical activity during pandemics and provides recommendations for public health strategies to incorporate exercise into disease prevention programs.