Evidence map›Paper›PMID 42200280›Full record

ReviewThe Journal of international medical research2026

Virtual cell: Current perspectives and future prospects.

Jinming Li, Hengheng Zhang, Weiwei Zhang, Na Li, Fuxing Zhao, Guoshuang Shen

Abstract readReview
In one paragraph

Review in The Journal of international medical research, 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

6 authors.

Jinming LiQinghai University, China.ORCID 0000-0002-9492-1083
Hengheng ZhangQinghai University, China.
Weiwei ZhangQinghai University, China.
Na LiQinghai University, China.
Fuxing ZhaoBreast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, People's Republic of China; Qinghai Provincial Clinical Research Center for Cancer; Qinghai Provincial Institute of Cancer Research, China.
Guoshuang ShenBreast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, People's Republic of China; Qinghai Provincial Clinical Research Center for Cancer; Qinghai Provincial Institute of Cancer Research, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual cell is an emerging technology that integrates multiple disciplines, including biology, computer science, and artificial intelligence, to simulate cellular structures and functions. Compared with traditional methods, virtual cell technology offers a more holistic approach, enabling efficient simulation of cellular dynamics and prediction of biological phenomena. This technology holds significant potential in fields such as precision medicine, drug discovery, and synthetic biology. The development of virtual cells is driven by advancements in single-cell sequencing, subcellular imaging, and computational power, with platforms such as environment for cell simulation (E-Cell) and cell packing (CellPACK) enabling simulations across multiple biological scales. However, challenges remain, including data integration, model interpretability, and computational costs. Despite these challenges, virtual cell technology has made advances in drug development, disease research, and synthetic biology, offering a promising tool for personalized medicine and improving research accuracy. In the future, virtual cell technology is expected to find broader applications in cross-species simulations, quantum computing, and interdisciplinary collaborations.

Indexed as

Artificial IntelligenceComputer SimulationModels, BiologicalAnimalsDrug DiscoveryHumansPrecision MedicineSynthetic Biologyartificial intelligencecomputational modelingdrug discoveryprecision medicineVirtual cell

Identifiers

PMID42200280
PMCPMC13219940

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.