Boosting the AIEgen-based photo-theranostic platform by balancing radiative decay and non-radiative decay
Yanzi Xu, Dongfeng Dang, Hongrui Zhu, Xunan Jing, Xun Zhu, Ning Zhang, Chunbin Li, Yizhen Zhao, Pengfei Zhang, Zhiwei Yang, Lingjie Meng
Abstract
A single-molecule-triggered photo-theranostic platform with aggregation-induced emission feature for precise diagnosis and efficient cancer therapy is developed.
Topics & Concepts
Radiative transferBoosting (machine learning)Aggregation-induced emissionFeature (linguistics)Federated learningMaterials scienceNanotechnologyComputer sciencePhysicsDistributed computingOpticsArtificial intelligencePhilosophyLinguisticsFluorescenceNanoplatforms for cancer theranosticsLuminescence and Fluorescent MaterialsAdvanced biosensing and bioanalysis techniques