Evidence map›Paper›PMID 41589794›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Multiphysics-Driven Assembly of Biomimetic Vesicles.

Timofei Solodko, Ian Gimino, Aastha Chandiwala, Bayan Alkotoub, Ali Bashiri Dezfouli, Heiko Reith, Asjad Bakhtiar, Rojda Hicsanmaz, Johann Brenner, Christoph J O Kaiser and 7 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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.

Timofei SolodkoHeinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology & Munich Institute of Biomedical Engineering, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Munich, Germany.
Ian GiminoHeinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology & Munich Institute of Biomedical Engineering, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Munich, Germany.
Aastha ChandiwalaHeinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology & Munich Institute of Biomedical Engineering, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Munich, Germany.
Bayan AlkotoubChair of Biological Imaging, TranslaTUM, School of Medicine and Health & School of Computation, Information and Technology, TUM, Munich, Germany.
Ali Bashiri DezfouliRadiation Immuno-Oncology Group, TranslaTUM, TUM School of Medicine and Health, University Hospital of TUM, Munich, Germany.
Heiko ReithInstitute for Metallic Materials, Leibniz Institute for Solid State and Materials Research, Dresden, Germany.
Asjad BakhtiarHeinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology & Munich Institute of Biomedical Engineering, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Munich, Germany.
Rojda HicsanmazHeinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology & Munich Institute of Biomedical Engineering, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Munich, Germany.
Johann BrennerResearch Group CryoEM Technology, Max Planck Institute of Biochemistry, Martinsried, Germany.
Christoph J O KaiserResearch Group CryoEM Technology, Max Planck Institute of Biochemistry, Martinsried, Germany.
Elena BelliHeinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology & Munich Institute of Biomedical Engineering, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Munich, Germany.
Shilpi PandeyHeinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology & Munich Institute of Biomedical Engineering, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Munich, Germany.
Samuel D RabkinDepartment of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Kornelius NielschInstitute for Metallic Materials, Leibniz Institute for Solid State and Materials Research, Dresden, Germany.
Gabriele MulthoffRadiation Immuno-Oncology Group, TranslaTUM, TUM School of Medicine and Health, University Hospital of TUM, Munich, Germany.
Oliver HaydenHeinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology & Munich Institute of Biomedical Engineering, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Munich, Germany.
Morteza Hasanzadeh KafshgariHeinz-Nixdorf-Chair of Biomedical Electronics, School of Computation, Information and Technology & Munich Institute of Biomedical Engineering, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Munich, Germany.ORCID https://orcid.org/0000-0001-5202-8505

Funding

Deutsche Forschungsgemeinschaft 556461968H2020 Marie Skłodowska-Curie Actions 899987TranslaTUM Seed Fund (Technical University of Munich)
6 · The paper itself

Abstract

Artificial extracellular vesicles (AEVs) are programmable, biomimetic materials that combine the structural and biological complexity of naturally secreted extracellular vesicles (NEVs) with the design flexibility of synthetic nanomaterials. A multiphysics-driven microfluidics is developed to efficiently integrate the nanoknife-assisted membrane rupture with flow dynamics and acoustothermal modulation for the reproducible, high-yield, scalable, and standardized production of AEVs. Compared to empirical mechanical processes, this integrated microfluidic workflow, which exploits physical and biological insights for EV production, enables multiphysics-based predictions for a precise control of material inputs, flow dynamics, and cell-knife interactions within the channel. The biomimetic AEVs developed through this integrated, optimized single-flow platform, with a sustained and efficient therapeutic encapsulation process, preserve native protein architectures to conduct biomimetic mechanisms of immune modulation and homologous targeting. The standardizable microfluidic platform paves the way for a structure-process-function design strategy, enabling the formation of scalable, adaptive biomaterials for the development of bioinspired interfacial engineering and biomedicine.

Indexed as

Biomimetic MaterialsExtracellular VesiclesAnimalsBiomimeticsMicrofluidic Analytical TechniquesMicrofluidicscell membranesextracellular vesiclesmicrofluidic platformsmultiphysics

Identifiers

PMID41589794
PMCPMC12957864

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Registered trials

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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.