ArticleNature communications2024
A spatially localized DNA linear classifier for cancer diagnosis.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Programmable DNA Logic Systems for Applications in Biomedicine.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026Review
- Angstrom-fluidic chemical synapses for accurate cancer diagnosis.Nature communications · 2026Article
- Advances in Machine Learning-Assisted Optical Sensing Arrays for Disease Diagnosis.Biomimetics (Basel, Switzerland) · 2026Review
- Enzymatic colorimetric encoding-based digital medicine for pancreatic cancer diagnosis.Nature communications · 2026Article
- Interpretable molecular decision-making with DNA-based scalable and memory-efficient tree computation.Nature communications · 2025Article
- Polymerase-based DNA reactions for molecularly computing cancerous diagnostic valences of multiple miRNAs.Journal of nanobiotechnology · 2025Article
- Designing a DNA synchronizer for compact single-rail DNA logic circuits.Science advances · 2025Article
- DNA Sequential Logic Circuits for Reversible Counters and Dynamic Biomolecular Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Implementing complex nucleic acid circuits in living cells.Science advances · 2025Article
- Scalable acoustic virtual stirrer for enhanced interfacial enzymatic nucleic acid reactions.Science advances · 2025Article
- A Localized Scalable DNA Logic Circuit System Based on the DNA Origami Surface.International journal of molecular sciences · 2025Article
- High-Speed Sequential DNA Computing Using a Solid-State DNA Origami Register.ACS central science · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Molecular computing is an emerging paradigm that plays an essential role in data storage, bio-computation, and clinical diagnosis with the future trends of more efficient computing scheme, higher modularity with scaled-up circuity and stronger tolerance of corrupted inputs in a complex environment. Towards these goals, we construct a spatially localized, DNA integrated circuits-based classifier (DNA IC-CLA) that can perform neuromorphic architecture-based computation at a molecular level for medical diagnosis. The DNA-based classifier employs a two-dimensional DNA origami as the framework and localized processing modules as the in-frame computing core to execute arithmetic operations (e.g. multiplication, addition, subtraction) for efficient linear classification of complex patterns of miRNA inputs. We demonstrate that the DNA IC-CLA enables accurate cancer diagnosis in a faster (about 3 h) and more effective manner in synthetic and clinical samples compared to those of the traditional freely diffusible DNA circuits. We believe that this all-in-one DNA-based classifier can exhibit more applications in biocomputing in cells and medical diagnostics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.