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Tissue Engineering

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Machine Learning in Tissue Engineering.

Tissue engineering. Part A
Machine learning (ML) and artificial intelligence have accelerated scientific discovery, augmented clinical practice, and deepened fundamental understanding of many biological phenomena. ML technologies have now been applied to diverse areas of tissu...

Robot-assisted in situ bioprinting of gelatin methacrylate hydrogels with stem cells induces hair follicle-inclusive skin regeneration.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Large skin defects caused by accidents or disease can cause fluid loss, water and electrolyte disorders, hypoproteinemia and serious infection and remain a difficult problem in clinical practice. In situ bioprinting is a promising, recently developed...

Advances in materials-based therapeutic strategies against osteoporosis.

Biomaterials
Osteoporosis is caused by the disruption in homeostasis between bone formation and bone resorption. Conventional management of osteoporosis involves systematic drug administration and hormonal therapy. These treatment strategies have limited curative...

Advanced Soft Robotic System for In Situ 3D Bioprinting and Endoscopic Surgery.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Three-dimensional (3D) bioprinting technology offers great potential in the treatment of tissue and organ damage. Conventional approaches generally rely on a large form factor desktop bioprinter to create in vitro 3D living constructs before introduc...

Exploring the Potential of GPT-4 in Biomedical Engineering: The Dawn of a New Era.

Annals of biomedical engineering
Biomedical engineering is a relatively young interdisciplinary field based on engineering, biology, and medicine. Of note, the rapid progress of artificial intelligence (AI)-based technologies has made a significant impact on the biomedical engineeri...

Humans and robots: Friends of the future? A bird's eye view of biomanufacturing industry 5.0.

Biotechnology advances
The evolution of industries have introduced versatile technologies, motivating limitless possibilities of tackling pivotal global predicaments in the arenas of medicine, environment, defence, and national security. In this direction, ardently emerges...

Automatic Photo-Cross-Linking System for Robotic-Based In Situ Bioprinting.

ACS biomaterials science & engineering
This work reports the design and validation of an innovative automatic photo-cross-linking device for robotic-based in situ bioprinting. Photo-cross-linking is the most promising polymerization technique when considering biomaterial deposition direct...

Rapid prediction of lab-grown tissue properties using deep learning.

Physical biology
The interactions between cells and the extracellular matrix are vital for the self-organisation of tissues. In this paper we present proof-of-concept to use machine learning tools to predict the role of this mechanobiology in the self-organisation of...

Multimodal Three-Dimensional Printing for Micro-Modulation of Scaffold Stiffness Through Machine Learning.

Tissue engineering. Part A
The ability to precisely control a scaffold's microstructure and geometry with light-based three-dimensional (3D) printing has been widely demonstrated. However, the modulation of scaffold's mechanical properties through prescribed printing parameter...