Multimodal AI‑Assisted Bioprinting: From Material Selection to Automated Fabrication
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Nanobiotechnology and Biofabrication".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 44
Special Issue Editors
Interests: polymer and nano-composite membrane materials; manufacturing and characterization of nanocomposites; biomedical applications of membranes and nanocomposites; in vitro and in vivo studies of biomaterials
Interests: biomedical engineering; biocybernetics; automatic control engineering; computer science; artificial intelligence
Interests: bioengineering approaches for musculoskeletal regeneration; innovative biomaterial; cartilage regeneration; engineered scaffolds; AI use in biomedical scaffold designing, bioprinting
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We cordially invite researchers, engineers, and clinicians working at the intersection of bioprinting, artificial intelligence, and biomaterials science to contribute to this Special Issue on “Multimodal AI‑Assisted Bioprinting: From Material Selection to Automated Fabrication.”
As the field of bioprinting rapidly evolves toward fully automated and personalized fabrication of tissue constructs, the integration of multimodal artificial intelligence—encompassing imaging, machine learning, bioinformatics, and robotics—has emerged as a transformative force.
This Special Issue aims to highlight cutting-edge advances in AI-driven bioink optimization, closed-loop fabrication systems, real-time process monitoring, and the design of intelligent bioprinting platforms capable of tailoring complex, functional tissue analogs. By bringing together multidisciplinary perspectives, this collection will provide readers with a comprehensive understanding of the technical innovations and biomedical applications reshaping regenerative medicine and biofabrication.
We welcome the submission of original research articles, reviews, and perspective pieces addressing topics including, but not limited to, AI-guided bioink formulation, multimodal data fusion, robotic bioprinting, digital twin modeling, and intelligent quality control.
We look forward to your valuable contributions and to advancing the frontiers of AI-assisted bioprinting together.
Prof. Dr. Ewa Stodolak-Zych
Prof. Dr. Ryszard Tadeusiewicz
Dr. Kamila Rawojć
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- 3D bioprinting
- artificial intelligence
- machine learning
- bioink design
- tissue engineering
- multimodal data
- closed-loop fabrication
- automated manufacturing
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