Designing Tissue Function Through Embedded Bioprinting Architectures

Embedded Bioprinting (EB) enables the fabrication of soft, cell-dense tissues within mechanically supportive environments, substantially expanding the design space of biofabrication. While EB has rapidly emerged as a powerful strategy for printing structures that are otherwise unattainable by freeform approaches, current progress is often evaluated in terms of geometric complexity rather than functional relevance. As the field evolves, a central challenge is not simply whether complex architectures can be printed, but how printing-defined structures can be intentionally designed to support tissue-specific functions. In contrast to previous reviews that primarily organize EB by supporting bath formulations, material systems, or printing modalities, this review adopts a function-guided design framework that organizes EB according to the architectural features required to support tissue-specific function. Within this framework, target tissue functions are first decomposed into structural and microarchitectural requirements, which then define fabrication objectives and guide the selection of supporting bath mechanics, material formulations, crosslinking strategies, and process parameters. Across diverse tissue systems, this framework reveals emerging structure-process-function relationships and key limitations in predictability and standardization, providing a conceptual basis for reproducible, human-relevant disease models and drug evaluation platforms while informing longer-term regenerative and implantable applications.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-08-25
DOI
https://doi.org/10.1002/advs.77342
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing Tissue Function Through Embedded Bioprinting Architectures

Hongzhao Zhou, Qi Li, Jiaxin Lin, Yifei Cao et al.
Advanced Science
3D Printing in Biomedical Research
article

Designing Tissue Function Through Embedded Bioprinting Architectures

Hongzhao Zhou, Qi Li, Jiaxin Lin, Yifei Cao, Huayong Yang
article en

Abstract

Embedded Bioprinting (EB) enables the fabrication of soft, cell-dense tissues within mechanically supportive environments, substantially expanding the design space of biofabrication. While EB has rapidly emerged as a powerful strategy for printing structures that are otherwise unattainable by freeform approaches, current progress is often evaluated in terms of geometric complexity rather than functional relevance. As the field evolves, a central challenge is not simply whether complex architectures can be printed, but how printing-defined structures can be intentionally designed to support tissue-specific functions. In contrast to previous reviews that primarily organize EB by supporting bath formulations, material systems, or printing modalities, this review adopts a function-guided design framework that organizes EB according to the architectural features required to support tissue-specific function. Within this framework, target tissue functions are first decomposed into structural and microarchitectural requirements, which then define fabrication objectives and guide the selection of supporting bath mechanics, material formulations, crosslinking strategies, and process parameters. Across diverse tissue systems, this framework reveals emerging structure-process-function relationships and key limitations in predictability and standardization, providing a conceptual basis for reproducible, human-relevant disease models and drug evaluation platforms while informing longer-term regenerative and implantable applications.

Advanced Science
Hangzhou Normal University (CN), Huazhong University of Science and Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China, State Key Laboratory of Fluid Power and Mechatronic Systems
Openalex Percentile: Top 19%
3D Printing in Biomedical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Designing Tissue Function Through Embedded Bioprinting Architectures — Hongzhao Zhou, Qi Li, et al. · Advanced Science (2026) | TGRS Research Map | TGRS