“…Thus, the urgent need for efficient and economical drug combination screening has prompted the emergence of machine learning (ML) techniques. Over the last few decades, conventional computational methodologies, including kinetic models, , systems biology approaches, biological networks, and mathematical frameworks, , were often constrained by prior knowledge and deemed suitable only for smaller data sets. However, the surge in drug-related data has propelled ML methods to the forefront, offering robust predictive capabilities .…”