DNA Circuits That Learn: Biochemical Signal Processing for Personalized Diagnosis and Treatment

Wen Yan Huang; Kyunghee Noh

doi:10.1002/mco2.70573

MedComm ›› 2026, Vol. 7 ›› Issue (1) :e70573 DOI: 10.1002/mco2.70573

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DNA Circuits That Learn: Biochemical Signal Processing for Personalized Diagnosis and Treatment

Wen Yan Huang ¹
, Kyunghee Noh ¹^,²

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Wen Yan Huang, Kyunghee Noh. DNA Circuits That Learn: Biochemical Signal Processing for Personalized Diagnosis and Treatment. MedComm, 2026, 7(1): e70573 DOI:10.1002/mco2.70573

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References

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[2]	K. M. Cherry and L. Qian, “Scaling up Molecular Pattern Recognition With DNA-based Winner-take-all Neural Networks,” Nature 559, no. 7714 (2018): 370–376.

[3]	L. Qian, E. Winfree, and J. Bruck, “Neural Network Computation With DNA Strand Displacement Cascades,” Nature 475, no. 7356 (2011): 368–372.

[4]	S. Takiguchi, N. Takeuchi, V. Shenshin, et al., “Harnessing DNA Computing and Nanopore Decoding for Practical Applications: From Informatics to microRNA-targeting Diagnostics,” Chemical Society Reviews 54, no. 1 (2025): 8–32.

[5]	Y. Xiao, A. Rodriguez-Paton, J. Wang, P. Zheng, T. Ma, and T. Song, “Programmable DNA-based Molecular Neural Network Biocomputing Circuits for Solving Partial Differential Equations,” Advanced Science (Weinh) 12, no. 33 (2025): e07060.

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