Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common treatment for this type of cancer. The study, conducted by scientists at Zhujiang Hospital and Nanfang Hospital of Southern Medical University, introduces a predictive tool known as the NPC-RSS (Nasopharyngeal Carcinoma Radiotherapy Sensitivity Score).
Using transcriptomic data and a rigorous machine learning framework that evaluated 113 algorithm combinations, the team identified an 18-gene signature capable of predicting a patient’s radiosensitivity. The model showed impressive accuracy in both internal datasets and external validation…
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