Evidence map›Paper›PMID 41909756›Full record

ReviewActa pharmaceutica Sinica. B2026

AI-integrated microfluidics for drug screening: From single cell to organ-on-a-chip.

Hongyun Yin, Zheyu Li, Zinuo Shen, Shiying Wang, Na Du, Shibo Cheng, Jie Zhou, Yutao Li, Yanwei Jia, Ying Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

10 authors.

Hongyun YinSchool of Laboratory Medicine, Hubei Shizhen Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.
Zheyu LiSchool of Laboratory Medicine, Hubei Shizhen Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.
Zinuo ShenCollege of Traditional Chinese Medicine, Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, Wuhan 430065, China.
Shiying WangSchool of Laboratory Medicine, Hubei Shizhen Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.
Na DuSchool of Laboratory Medicine, Hubei Shizhen Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.
Shibo ChengSchool of Laboratory Medicine, Hubei Shizhen Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.
Jie ZhouSchool of Laboratory Medicine, Hubei Shizhen Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.
Yutao LiSchool of Laboratory Medicine, Hubei Shizhen Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.
Yanwei JiaState-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau 999078, China.
Ying LiSchool of Laboratory Medicine, Hubei Shizhen Laboratory, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug discovery remains a protracted and capital-intensive process, primarily hindered by inefficiencies in drug screening. Microfluidic technology provides a promising approach for

Indexed as

Artificial intelligenceDrug screeningMachine learningMicrofluidicsOrgan-on-a-chip

Identifiers

PMID41909756
PMCPMC13031076

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.