Leveraging Large Language Models and Survival Analysis for Early Prediction of Chemotherapy Outcomes

ArXi:2603.11594v1 Announce Type: new Chemotherapy for cancer treatment is costly and accompanied by severe side effects, highlighting the critical need for early prediction of treatment outcomes to improve patient management and informed decision-making. Predictive models for chemotherapy outcomes using real-world data face challenges, including the absence of explicit phenotypes and treatment outcome labels such as cancer progression and toxicity.