Cancer nanomedicine offers a versatile platform for improving therapeutic index, but its clinical translation remains limited by unpredictable in vivo behavior, heterogeneous biological contexts, and inefficient design paradigms. Artificial intelligence (AI) is emerging as an integrative framework that links data‐drive...
Sheng-Bin Liu, Zhi Liu, Haixing Shi et al.· MedComm· 0 citations
A structured translational roadmap is proposed that prioritizes biologically predictive design, fit-for-purpose safety assessment, scalable good manufacturing practice production, early regulatory alignment, and clinically meaningful benefit over unnecessary structural complexity.
Yi Li, Rui Luo, Yuxuan Li et al.· Biomedicine & pharmacotherap...· 0 citations
The integration of computational prediction with programmable genome and RNA engineering may support more precise, adaptable, and clinically translatable mRNA therapeutics.
Haixing Shi, Shengbin Liu, Dan-Ling Dai et al.· MedComm – Biomaterials and A...· 0 citations
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