A recent study published in Nature introduces a six-gene signature, developed using machine learning algorithms, that reliably predicts breast cancer prognosis and drug sensitivity. For instance, the model distinguishes patient outcomes based on gene expression, offering insights for more tailored treatment strategies that enhance personalized medicine.