ArticleInternational journal of bioprinting2021
Application of Machine Learning in 3D Bioprinting: Focus on Development of Big Data and Digital Twin.
Article in International journal of bioprinting, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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.
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.
Who cites it
42 citing papers in PubMed, 110 citations in OpenAlex.
- Engineering Smart Scaffolds for Osteomyelitis: Integrating Nanotechnology, Drug Delivery, and Tissue Regeneration-A Narrative Review.Journal of functional biomaterials · 2026Review
- Computational approaches in bioprinting processes.Nature reviews bioengineering · 2026Article
- Biopolymer-Nanoparticle Interactions in 3D-Printing for Biomedical Applications: Advantages, Limitations and Future Perspectives.Polymers · 2026Review
- Unconventional bioprinting modalities for advanced tissue biofabrication.Biomaterials · 2026Review
- Gelatin-based porous scaffolds: design concepts, production, and applications in precision regenerative medicine.Materials today. Bio · 2026Review
- Artificial intelligence-assisted smart hydrogel bioinks in 3D bioprinting: design, optimization, and construct validation for functional tissue engineering.Frontiers in bioengineering and biotechnology · 2026Review
- 3D Bioprinting and Artificial Intelligence for Tumor Microenvironment Modeling: A Scoping Review of Models, Methods, and Integration Pathways.Molecular pharmaceutics · 2025Article
- Data-Driven Optimization of Bioink Formulations for Extrusion-Based Bioprinting: A Predictive Modeling Approach.Journal of manufacturing science and engineering · 2025Article
- Modified Polysaccharides: Potential Biomaterials for Bioprinting.Journal of functional biomaterials · 2025Review
- Integrating Decision Trees and Clustering for Efficient Optimization of Bioink Rheology and 3D Bioprinted Construct Microenvironments.Journal of manufacturing science and engineering · 2025Article
- An Ontology Proposal for Implementing Digital Twins in Hospitality: The Case of Front-End Services.Sensors (Basel, Switzerland) · 2025Article
- Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare.Nanomaterials (Basel, Switzerland) · 2025Review
- AI-driven 3D bioprinting for regenerative medicine: From bench to bedside.Bioactive materials · 2025Review
- Characterization and Machine Learning-Driven Property Prediction of a Novel Hybrid Hydrogel Bioink Considering Extrusion-Based 3D Bioprinting.Gels (Basel, Switzerland) · 2025Article
- Tendon regeneration deserves better: focused review onFrontiers in bioengineering and biotechnology · 2025Review
- Can digital twin technology revolutionize public health emergency management? Insights from the PPRR framework.Frontiers in public health · 2025Article
- Computational methods for biofabrication in tissue engineering and regenerative medicine - a literature review.Computational and structural biotechnology journal · 2024Review
- Recent advances in artificial intelligent strategies for tissue engineering and regenerative medicine.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Review
- Recent advances and applications of artificial intelligence in 3D bioprinting.Biophysics reviews · 2024Review
- Cardiovascular Tissue Engineering Models for Atherosclerosis Treatment Development.Bioengineering (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The application of machine learning (ML) in bioprinting has attracted considerable attention recently. Many have focused on the benefits and potential of ML, but a clear overview of how ML shapes the future of three-dimensional (3D) bioprinting is still lacking. Here, it is proposed that two missing links, Big Data and Digital Twin, are the key to articulate the vision of future 3D bioprinting. Creating training databases from Big Data curation and building digital twins of human organs with cellular resolution and properties are the most important and urgent challenges. With these missing links, it is envisioned that future 3D bioprinting will become more digital and
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Registered trials
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.