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Abstract An effective wound management strategy needs accurate assessment of wound status throughout the whole healing process. This can be achieved by examining molecular biomarkers including proteins, DNAs, and RNAs. However, existing methods for quantifying these biomarkers such as immunohistochemistry and quantitative polymerase chain reaction are usually laborious, resource‐intensive, and disruptive. This article reports the development and utilization of mRNA nanosensors (i.e., NanoFlare) that are topically applied on cutaneous wounds to reveal the healing status through targeted and semi‐quantitative examination of the mRNA biomarkers in skin cells. In 2D and 3D in vitro models, the efficacy and efficiency of these nanosensors are demonstrated in revealing the dynamic changes of mRNA biomarkers for different stages of wound development. In mouse models, this platform permits the tracking and identification of wound healing stages and a normal and diabetic wound healing process by wound healing index in real time.

Purpose The dose of drug and the size of instrument are determined based on children’s weight. We aimed to validate the finger counting method (FCM) for weight estimation in Korean children using the Monte Carlo simulation. Methods We estimated the weight of Korean children aged 1 to 9 years by the FCM. These measurements were compared with the weight extracted by the Monte Carlo simulation applied to the “2007 Korean Children and Adolescents Growth Standard.” Pearson correlation coefficients (r) were measured to assess the correlation between the weight extracted by the simulation and that estimated by FCM. Bland-Altman analyses were performed to assess the agreement between the weight extracted by the simulation and that estimated by FCM and 2 other well-known pediatric weight estimation formulas (the Advanced Pediatric Life Support and Luscombe formulas). Results Data regarding 9,000 children’s weight selected by age and gender was randomly extracted using the simulation. We found a positive correlation between the weight estimated by the FCM and the weight extracted (in boys, r = 0.896, P < 0.001; in girls, r = 0.899, P < 0.001). The FCM tended to underestimate weight in the children aged 7 years or old. Conclusion This article suggests the usefulness of FCM in weight estimation, particularly in children younger than 7 years. With appreciation of the limitation in older children, the FCM could be applied to emergency practice.