AIMC Topic: Bioprinting

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Leveraging transfer learning for efficient bioprinting.

Biofabrication
Bioprinting is a promising family of processes combining 3D printing with life sciences, offering the potential to significantly advance various applications. Despite numerous research efforts aimed at enhancing process modeling, optimizing capabilit...

Machine Learning-Enhanced Optimization for High-Throughput Precision in Cellular Droplet Bioprinting.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Organoids produce through traditional manual pipetting methods face challenges such as labor-intensive procedures and batch-to-batch variability in quality. To ensure consistent organoid production, 3D bioprinting platforms offer a more efficient alt...

Biofabrication of HepG2 Cells-Laden 3D Structures Using Nanocellulose-Reinforced Gelatin-Based Hydrogel Bioinks: Materials Characterization, Cell Viability Assessment, and Metabolomic Analysis.

ACS biomaterials science & engineering
The successful replication of the intricate architecture of human tissues remains a major challenge in the biomedical area. Three-dimensional (3D) bioprinting has emerged as a promising approach for the biofabrication of living tissue analogues, taki...

Optimizing the value of bioinks and robotics to advance in vivo bioprinting.

Current opinion in biotechnology
In vivo bioprinting strategies aim at facilitating immediate integration of engineered tissues with the host's biological system. As integral parts of current bioprinting technologies, bioinks and robotics should be holistically considered for new bi...

3D Bioprinting and Artificial Intelligence-Assisted Biofabrication of Personalized Oral Soft Tissue Constructs.

Advanced healthcare materials
Regeneration of oral soft tissue defects, including mucogingival defects associated with the recession or loss of gingival and/or mucosal tissues around teeth and implants, is crucial for restoring oral tissue form, function, and health. This study p...

Constraint based Bayesian optimization of bioink precursor: a machine learning framework.

Biofabrication
Current research practice for optimizing bioink involves exhaustive experimentation with multi-material composition for determining the printability, shape fidelity and biocompatibility. Predicting bioink properties can be beneficial to the research ...

Precision improvement of robotic bioprinting via vision-based tool path compensation.

Scientific reports
Robotic 3D bioprinting is a rapidly advancing technology with applications in organ fabrication, tissue restoration, and pharmaceutical testing. While the stepwise generation of organs characterizes bioprinting, challenges such as non-linear material...

Sustainable biofabrication: from bioprinting to AI-driven predictive methods.

Trends in biotechnology
Biofabrication is potentially an inherently sustainable manufacturing process of bio-hybrid systems based on biomaterials embedded with cell communities. These bio-hybrids promise to augment the sustainability of various human activities, ranging fro...

A practical machine learning approach for predicting the quality of 3D (bio)printed scaffolds.

Biofabrication
3D (Bio)printing is a highly effective method for fabricating tissue engineering scaffolds, renowned for their exceptional precision and control. Artificial intelligence (AI) has become a crucial technology in this field, capable of learning and repl...

Advances in volumetric bioprinting.

Biofabrication
The three-dimensional (3D) bioprinting technologies are suitable for biomedical applications owing to their ability to manufacture complex and high-precision tissue constructs. However, the slow printing speed of current layer-by-layer (bio)printing ...