Machine learning model predicts radiotherapy response in nasopharyngeal carcinoma patients using gene expression data.

Agler’s cancer, nasopharyngeal rhabdomyosarcoma, differs because normally it “is exquisitely sensitive to both chemotherapy and radiation. So, we actually rarely cut them out,” Koyfman says.

A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...

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 ...

Nasopharyngeal carcinoma (NPC) is a malignant tumor originating from the nasopharyngeal epithelium. Due to its concealed location and nonspecific early symptoms, most patients present with lymph ...

“Proton therapy is especially well-suited to treating nasopharynx cancer since it allows us to better target tumors in very close proximity to the brain and vision structures, while minimizing the ...

Cancer is a debilitating illness that remains a persistent threat to humanity and is one of the leading causes of death ...