Medication Prediction

Medication prediction leverages machine learning to forecast optimal drug regimens for patients, aiming to improve treatment efficacy and personalize healthcare. Current research emphasizes the development of sophisticated models, including deep learning architectures like transformer networks and graph neural networks, to effectively handle complex patient data, such as longitudinal medical records and heterogeneous knowledge graphs. These advancements are driven by the need to address challenges like multimorbidity and variable data quality, ultimately aiming to enhance clinical decision-making and improve patient outcomes. The field's impact extends to both optimizing treatment plans and accelerating drug discovery through computational repurposing.