AI-powered radiomics enhances immunotherapy prediction in locoregionally advanced nasopharyngeal carcinoma
Peer-Reviewed Publication
Updates every hour. Last Updated: 10-Nov-2025 11:11 ET (10-Nov-2025 16:11 GMT/UTC)
A multicenter study led by Prof. Shuixing Zhang and Prof. Bin Zhang from the First Affiliated Hospital of Jinan University enrolled 246 patients with locally advanced NPC treated with immunotherapy. By applying artificial intelligence algorithms, the team extracted and selected optimal radiomic features from medical imaging to construct a predictive model.
The University of Osaka scientists have developed a safe, efficient “dump-and-stir” method to introduce ortho-carborane into various aromatic compounds using a newly designed lithium–copper reagent. This innovation overcomes the complexity and hazards of previous methods, paving the way for new applications in boron neutron capture therapy (BNCT), three-dimensional aromatic materials, and bioisosteric drug design.
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By reworking an existing protein, researchers at UC San Diego have revitalized a previously unsuccessful cancer treatment.
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