Evidence map›Paper›PMID 40698600›Full record

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

Advanced Brain-on-a-Chip for Wetware Computing: A Review.

Shangchen Li, Yaoyao Liu, Sihan Hua, Yu Wang, Shutong Sun, Longhui Jiang, Chengji Lu, Juntao Liu, Huaizhang Shi, Pei Wu and 2 more

Abstract readReview
In one paragraph

Review 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Thermally Induced Creep and Viscoelastic Behavior of Copper Micropillar Arrays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Advanced Brain-on-a-Chip for Wetware Computing: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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.

Shangchen LiState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Yaoyao LiuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Sihan HuaState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Yu WangState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Shutong SunState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Longhui JiangState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Chengji LuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Juntao LiuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Huaizhang ShiDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Heilongjiang, 150001, China.
Pei WuDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Heilongjiang, 150001, China.
Xinxia CaiState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.ORCID https://orcid.org/0000-0001-5997-7252
Jinping LuoState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.ORCID https://orcid.org/0000-0003-4213-9185

Funding

Joint Foundation Program of the Chinese Academy of Sciences 8091A170201Major Program of Scientific and Technical Innovation 2030 2021ZD02016030National Key Research and Development Program of China 2022YFB3205602National Key Research and Development Program of China 2022YFC2402500National Key Research and Development Program of China 2022YFC2402501National Natural Science Foundation of China 62121003National Natural Science Foundation of China 62171434National Natural Science Foundation of China 62333020National Natural Science Foundation of China 62471291National Natural Science Foundation of China T2293730National Natural Science Foundation of China T2293731Scientific Instrument Developing Project of the Chinese Academy of Sciences PTYQ2024BJ0009
6 · The paper itself

Abstract

In pursuit of low-power consumption and surpassing computational limitations of silicon-based chips, people are beginning to seek more efficient computing devices, such as Wetware Computing. The cutting-edge approach uses living biological tissues, specifically neuronal networks, to perform computational tasks. This computing method, which is a mixture of hardware, software, and biology, is an emerging computing method that has received a lot of attention in recent years. As an important branch of organ-on-a-chip, brain-on-a-chip, which combines Micro-Electro-Mechanical System technology, electronic technology, and tissue engineering, can provide a powerful research platform for Wetware Computing. In this paper, the brain-on-a-chip for Wetware Computing is reviewed. This paper summarizes the methods for establishing a brain-on-a-chip for Wetware Computing, including the brain organoids cultured in vitro, microelectrode arrays, electrophysiology interfaces, and microfluidic platforms that make up the brain-on-a-chip. In addition, the data processing methods of brain-on-a-chip are reviewed, including encoding and decoding methods. In this paper, the focus is also on the application and the prospect of brain-on-a-chip in Wetware Computing.

Indexed as

BrainLab-On-A-Chip DevicesAnimalsHumansbrain‐on‐a‐chipMEAMEMSmicrofluidicswetware compute

Identifiers

PMID40698600
PMCPMC12412539

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.