Page 81 - IJAMD-1-1

International Journal of AI

for Material and Design

ORIGINAL RESEARCH ARTICLE
Manufacturing multi-organs database:

A comprehensive, predictive, and analytical
biofabrication database

Jingmin An 1,2† , Wenjuan Cui 3,4† , Haolin Chen 1,2,4† , Juan Wu 1,2,4 , Yishuang Liang ,
3,4
1,2
3
Na Li , Yi Du *, Shuyu Zhang *, and Qi Gu 1,2,4 *
3,4
1 Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy
of Sciences, Chaoyang District, Beijing, China
2 Beijing Institute for Stem Cell and Regenerative Medicine, Chaoyang District, Beijing, China
3 Computer Network Information Center, Chinese Academy of Sciences, Haidian District, Beijing,
China
4 University of Chinese Academy of Sciences, Huairou District, Beijing, China

Abstract

Biofabrication, broadly described as “a process that results in a defined product with
biological function,” has undergone a revolution in recent years. This revolution has
led to an explosion of literature containing valuable data and insights on bioactive
† These authors contributed equally materials and machine learning-aided design. However, the accessibility and
to this work. comprehension of this rich data source remain a challenge, necessitating the creation
*Corresponding authors: of a comprehensive database. Herein, we present the manufacturing multi-organs
Qi Gu database (MMDB), a real-time updating database developed to foster an all-inclusive
(qgu@ioz.ac.cn)
Shuyu Zhang understanding of biofabrication by leveraging machine learning for standardized
(zhangshuyu@ioz.ac.cn) analysis of material properties and manufacturing processes. The MMDB aids in
Yi Du identifying commonly used cells, materials, and culture strategies in biofabrication
(duyi@cnic.cn)
by analyzing over 5000 papers related to 37 human organs. Leveraging machine
Citation: An J, Cui W, Chen H, learning models, it predicts optimal printing parameters and organ functionality
et al. Manufacturing multi-organs
database: A comprehensive, metrics, thereby streamlining experimental designs and reducing costs. In
predictive, and analytical addition, MMDB offers knowledge services that encompass hotspot analysis, trend
biofabrication database. Int J AI identification, international collaboration analysis, and comprehensive knowledge
Mater Design. 2024;1(1): 2420.
https://doi.org/10.36922/ijamd.2420 maps of organ functions and biomaterials. We believe that the MMDB, serving as
a crucial and readily accessible knowledge base, will fundamentally facilitate the
Received: December 12, 2023 design and optimization of biofabrication experiments. Moreover, by accelerating
Accepted: January 8, 2024
Published Online: January 29, the discovery of optimal parameters, the MMDB has the potential to offer invaluable
2024 insights into organ function, propelling the field of biofabrication toward more
Copyright: © 2024 Author(s). efficient and effective organ manufacturing.
This is an Open-Access article
distributed under the terms of the
Creative Commons Attribution Keywords: Biofabrication; Organ function; Biomaterials
License, permitting distribution,
and reproduction in any medium,
provided the original work is
properly cited.
1. Introduction
Publisher’s Note: AccScience
Publishing remains neutral with The field of biofabrication, involving the production of complex biological products from
regard to jurisdictional claims in 1,2
published maps and institutional raw materials, has witnessed significant advancements in recent years. This burgeoning
3,4
affiliations. field encompasses various techniques, including three-dimensional (3D) bioprinting,

Volume 1 Issue 1 (2024) 75 https://doi.org/10.36922/ijamd.2420