Titlebook: 3D printable Gel-inks for Tissue Engineering; Chemistry, Processin Anuj Kumar,Stefan Ioan Voicu,Vijay Kumar Thakur Book 2021 The Editor(s)

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Book 2021es on current processing, developments, and challenges, and recent advancements in tissue-specific 3D printing/bioprinting. This book is will serve as a go-to reference on bioprinting and is ideal for students, researchers and professionals, working academia, government, the medical industry, and healthcare..

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2367-0061 specific 3D printing/bioprinting. This book is will serve as a go-to reference on bioprinting and is ideal for students, researchers and professionals, working academia, government, the medical industry, and healthcare..978-981-16-4669-0978-981-16-4667-6Series ISSN 2367-0061 Series E-ISSN 2367-007X

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Mei Wen,Nan Wu,Haiyan Li,Chunyuan Zhangharacteristics and biofunctionality of the bioinks. Further optimization and characterization of the bioinks for specialized tissues depend on multiple assays and image-based assessments. While the biomaterials utilized in the present era may be broadly classified into synthetic and natural, there a

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Mei Wen,Nan Wu,Haiyan Li,Chunyuan Zhang This chapter provides an overview of the latest developments in hydrogel-based inks and describes the factors that are generally considered to have the most influential effect over the printing process. Herein, current 3D printing ink formulations intended for tissue engineering are discussed in ha

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Trends in Expert Systems in Japan,ng hydrogels were being explored. The field of supramolecular chemistry is old as 50 decades, however, the application of polymerization by non-covalent interaction of biomedical applications was explored lesser compare to other optoelectronic and mechanical applications. This book chapter will be g

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https://doi.org/10.1007/978-3-642-84514-7act shape of wound damage. In this chapter, we aim to introduce the current state of 3D printable gel-inks utilized for skin wound treatment and illustrate future prospects in this amazing area of science.

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3D Conceptual Design Using Deep Learning,ogical solution for manufacturing biomimetic implants for filling large bone defects is presented in the chapter, as a practical alternative to the current additive manufacturing attempts. This solution aims to solve the challenges related to tissue vascularization and mechanical stability associate