Evidence map›Paper›PMID 37400372›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Synergizing Algorithmic Design, Photoclick Chemistry and Multi-Material Volumetric Printing for Accelerating Complex Shape Engineering.

Parth Chansoria, Dominic Rütsche, Anny Wang, Hao Liu, Davide D'Angella, Riccardo Rizzo, Amelia Hasenauer, Patrick Weber, Wanwan Qiu, Nafeesah Bte Mohamed Ibrahim and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  15. Lithography-based 3D printing of hydrogels.Nature reviews bioengineering · 2025
    Article
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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

13 authors.

Parth ChansoriaDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0002-6107-6848
Dominic RütscheDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0001-6394-201X
Anny WangDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0002-3588-7647
Hao LiuDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0002-8301-6870
Davide D'AngellaHyperganic Group GmbH, 80799, Munich, Germany.ORCID 0000-0001-5713-9837
Riccardo RizzoDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0001-8297-6776
Amelia HasenauerDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0003-4512-6195
Patrick WeberDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0003-3626-000X
Wanwan QiuDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0003-2461-638X
Nafeesah Bte Mohamed IbrahimDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0001-9582-4931
Nina KorshunovaHyperganic Group GmbH, 80799, Munich, Germany.ORCID 0000-0002-4261-9122
Xiao-Hua QinDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0001-8355-3230
Marcy Zenobi-WongDepartment of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.ORCID 0000-0002-8522-9909

Funding

Swiss National Science Foundation 188522Swiss National Science Foundation 205321_179012Swiss National Science Foundation 206501
6 · The paper itself

Abstract

The field of biomedical design and manufacturing has been rapidly evolving, with implants and grafts featuring complex 3D design constraints and materials distributions. By combining a new coding-based design and modeling approach with high-throughput volumetric printing, a new approach is demonstrated to transform the way complex shapes are designed and fabricated for biomedical applications. Here, an algorithmic voxel-based approach is used that can rapidly generate a large design library of porous structures, auxetic meshes and cylinders, or perfusable constructs. By deploying finite cell modeling within the algorithmic design framework, large arrays of selected auxetic designs can be computationally modeled. Finally, the design schemes are used in conjunction with new approaches for multi-material volumetric printing based on thiol-ene photoclick chemistry to rapidly fabricate complex heterogeneous shapes. Collectively, the new design, modeling and fabrication techniques can be used toward a wide spectrum of products such as actuators, biomedical implants and grafts, or tissue and disease models.

Indexed as

Printing, Three-DimensionalTissue EngineeringPorosityProstheses and Implantsalgorithmic designauxetichydrogelsmulti-materialvolumetric printing

Identifiers

PMID37400372
PMCPMC10502818

What OpenQuestion 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 OpenQuestion graph.