Evidence map›Paper›PMID 40163382›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Deep Learning-Enhanced Hand-Driven Microfluidic Chip for Multiplexed Nucleic Acid Detection Based on RPA/CRISPR.

Tao Xu, Ying Zhang, Shunji Li, Chenxi Dai, Hongguo Wei, Dongjuan Chen, Yunjun Zhao, He Liu, Deliang Li, Peng Chen and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Tao XuCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.ORCID https://orcid.org/0009-0003-5617-7593
Ying ZhangThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Shunji LiThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Chenxi DaiThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Hongguo WeiCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.
Dongjuan ChenDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China.
Yunjun ZhaoCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.
He LiuCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.
Deliang LiCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.
Peng ChenThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Bi-Feng LiuThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Ye TianCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.ORCID https://orcid.org/0000-0003-2134-1536

Funding

Fundamental Research Funds for the Central Universities N2319005Fundamental Research Funds for the Central Universities N2424010-19Liaoning Provincial Natural Science Foundation Joint Fund (General Support Program Project) 2023-MSBA-093National Key Research and Development Program of China 2021YFA1101500National Key Research and Development Program of China 2023YFC2508200National Key Research and Development Program of China 2023YFF1205002National Natural Science Foundation of China 22074047National Natural Science Foundation of China 32201179
6 · The paper itself

Abstract

The early detection of high-risk human papillomavirus (HR-HPV) is crucial for the assessment and improvement of prognosis in cervical cancer. However, existing PCR-based screening methods suffer from inadequate accessibility, which dampens the enthusiasm for screening among grassroots populations, especially in resource-limited areas, and contributes to the persistently high mortality rate of cervical cancer. Here, a portable system is proposed for multiplexed nucleic acid detection, termed R-CHIP, that integrates Recombinase polymerase amplification (RPA), CRISPR detection, Hand-driven microfluidics, and an artificial Intelligence Platform. The system can go from sample pre-processing to results readout in less than an hour with simple manual operation. Optimized for sensitivity of 10

Indexed as

Deep LearningLab-On-A-Chip DevicesNucleic Acid Amplification TechniquesPapillomavirus InfectionsClustered Regularly Interspaced Short Palindromic RepeatsEarly Detection of CancerFemaleHuman papillomavirus 16Human papillomavirus 18HumansUterine Cervical Neoplasmsartificial intelligencecommunity screeningCRISPRhand‐driven microfluidichigh‐risk human papillomavirus

Identifiers

PMID40163382
PMCPMC12140310

What OpenQuestion holds

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Registered trials

None linked

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.