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AbstractIn recent years, nature‐induced urban disasters in high‐density modern cities in China have raised great concerns. The delayed and imprecise understanding of the real‐time post‐disaster situation made it difficult for the decision‐makers to find a suitable emergency rescue plan. To this end, this study aims to facilitate the real‐time performance and accuracy of on‐site victim risk identification. In this article, we propose a victim identification model based on the You Only Look Once v7‐W6 (YOLOv7‐W6) algorithm. This model defines the "fall‐down" pose as a key feature in identifying urgent victims from the perspective of disaster medicine rescue. The results demonstrate that this model performs superior accuracy (mAP@0.5, 0.960) and inference speed (5.1 ms) on the established disaster victim database compared to other state‐of‐the‐art object detection algorithms. Finally, a case study is illustrated to show the practical utilization of this model in a real disaster rescue scenario. This study proposes an intelligent on‐site victim risk identification approach, contributing significantly to government emergency decision‐making and response.

Minliang Wu,1,* Wenjun Le,2,* Tianxiao Mei,2 Yuchong Wang,1 Bingdi Chen,2 Zhongmin Liu,2 Chunyu Xue11Department of Plastic Surgery,Changhai Hospital, Second Military Medical University, Shanghai 200433, People's Republic of China; 2Institute for Regenerative Medicine and Translational Nanomedicine, Shanghai East Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai 200092, People's Republic of China*These authors contributed equally to this work Abstract: Targeted drug delivery by nanoparticles (NPs) is an essential technique to achieve the ideal therapeutic effect for cancer. However, it requires large amounts of work to imitate the biomarkers on the surface of the cell membrane and cannot fully retain the bio-function and interactions among cells. Cell membranes have been studied to form biomimetic NPs to achieve functions like immune escape, targeted drug delivery, and immune modulation, which inherit the ability to interact with the in vivo environments. Currently, erythrocyte, leukocyte, mesenchymal stem cell, cancer cell and platelet have been applied in coating photothermal agents and anti-cancer drugs to achieve increased photothermal conversion efficiency and decreased side effects in cancer ablation. In this review, we discuss the recent development of cell membrane-coated NPs in the application of photothermal therapy and cancer targeting. The underlying biomarkers of cell membrane-coated nanoparticles (CMNPs) are discussed, and future research directions are suggested.Keywords: cell membrane, nanoparticles, photothermal therapy, cancer targeting