Yingjie Jia

We read with great interest the article by Mao and colleagues (Mao et al., 2025), who present the DA-TCMPO (Data Augmentation for TCM Prescription Optimisation) deep learning framework. We commend the authors for proposing a risk-contained, incremental prescription optimisation strategy that leverages attention-enhanced diffusion-based augmentation and noise-resilient latent representation learning.

Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References 1, , , , and , “Anti-Disturbance Cooperative Fuzzy Tracking Control of Multi-PMSMs Low-Speed Urban Rail Traction Systems,” IEEE Transactions on Transportation Electrification 8, no. 1 (2022): 1040–1051.