Integrating structurally defined DNA-carbon nanotube sensors with machine learning for cancer detection.

Chen P, Zheng X, Li Y, Li J, Zhou X, Wen Y, Liu J, Wang P, Li X, Chen R, Lin Z

DOI: 10.1126/sciadv.aef9530
Published: 2026 Jul 31
Container: Science advances
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1126/sciadv.aef9530,
  title = {Integrating structurally defined DNA-carbon nanotube sensors with machine learning for cancer detection.},
  author = {Chen P and Zheng X and Li Y and Li J and Zhou X and Wen Y and Liu J and Wang P and Li X and Chen R and Lin Z},
  year = {2026},
  journal = {Science advances},
  doi = {10.1126/sciadv.aef9530},
  url = {https://doi.org/10.1126/sciadv.aef9530}
}

RIS

TY  - JOUR
TI  - Integrating structurally defined DNA-carbon nanotube sensors with machine learning for cancer detection.
AU  - Chen P
AU  - Zheng X
AU  - Li Y
AU  - Li J
AU  - Zhou X
AU  - Wen Y
AU  - Liu J
AU  - Wang P
AU  - Li X
AU  - Chen R
AU  - Lin Z
PY  - 2026
JO  - Science advances
DO  - 10.1126/sciadv.aef9530
UR  - https://doi.org/10.1126/sciadv.aef9530
ER  -

APA

P, C., X, Z., Y, L., J, L., X, Z., Y, W., J, L., P, W., X, L., R, C., & Z, L. (2026). Integrating structurally defined DNA-carbon nanotube sensors with machine learning for cancer detection.. Science advances. https://doi.org/10.1126/sciadv.aef9530

Source records

pubmed · retrieved 2026-09-26T00:04:07.186Z