Evidence map›Paper›PMID 42183178›Full record

ArticleNational science review2026

Ultrasound-sensitive microrobotic sensor with robust anchoring for long-term digestive lesion assessment.

Chen Xin, Yuqiong Wang, Yihang Jiang, Bo Hao, Neng Xia, Jiaqi Zhu, Lin Su, Jinsheng Zhao, Xin Wang, Haojin Yang and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in National science review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Chen XinInstitute of Humanoid Robots, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China.
Yuqiong WangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Yihang JiangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Bo HaoDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Neng XiaDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Jiaqi ZhuDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Lin SuDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Jinsheng ZhaoDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Xin WangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Haojin YangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Xianfeng XiaDepartment of Surgery, The Chinese University of Hong Kong, Hong Kong 999077, China.
Kai Fung ChanChow Yuk Ho Technology Center for Innovative Medicine, The Chinese University of Hong Kong, Hong Kong 999077, China.
Qingsong XuDepartment of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macau 999078, China.
Dong WuInstitute of Humanoid Robots, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China.
Philip Wai Yan ChiuDepartment of Surgery, The Chinese University of Hong Kong, Hong Kong 999077, China.
Joseph Jao Yiu SungLee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore.
Li ZhangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microrobots have achieved notable progress in targeted drug delivery for treating various diseases. However, employing the microrobot itself as a microsensor for remote and long-term lesion assessment remains challenging. Here, we design a bioinspired ultrasound-sensitive microrobotic sensor (USMS) capable of robust anchoring for wireless and long-term digestive disease treatment and assessment. The USMS integrates dual magnetic and focused ultrasound actuation for precise locomotion and on-demand drug delivery, while a bioinspired microneedle design secures stable anchoring against strong fluid flow (402 mm/s) and peristaltic forces (66.5 mN). More importantly, the air cavity design of USMS enables strong ultrasound reflection for remote and long-term sensing of protruding lesion radius to assess therapeutic efficacy. Overall, USMS demonstrates reliable on-demand drug delivery and lesion size sensing capabilities in mouse models. The USMS has the potential to serve as a versatile robotic platform and sensing system for monitoring lesion evolution in clinical disease management.

Indexed as

magnetic actuationmicrorobotrobotic sensorultrasound imaging

Identifiers

PMID42183178
PMCPMC13196706

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.