Predictive modeling of oral squamous cell carcinoma risk using a multi-parametric machine learning framework integrating clinical, sociodemographic, and salivary biomarker data
Oral Squamous Cell Carcinoma (OSCC) represents a major public health challenge due to diagnostic delays and the invasive nature of conventional biopsy techniques, underscoring the need for accurate, non-invasive prognostic tools. This study develops and validates a multi-parametric machine learning framework that int...