Computational Intelligence in Bioprinting -

Computational Intelligence in Bioprinting (eBook)

Challenges and Future Directions
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2024 | 1. Auflage
352 Seiten
Wiley (Verlag)
978-1-394-20485-4 (ISBN)
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COMPUTATIONAL INTELLIGENCE IN BIOPRINTING

The book provides a comprehensive exploration of the evolving field of bioprinting in regenerative medicine and is an essential guide for professionals seeking a thorough understanding of the field.

Computational Intelligence in Bioprinting provides a comprehensive overview of the evolving field of bioprinting in reformative medicine, defining the process of printing structures using viable cells, biomaterials, and living molecules. The primary goal is to provide substitutes for tissue implants, which might lead to eliminating the requirement for organ donors, as well as to transform animal testing for the learning and analysis of disease and the growth of treatments. The book offers a comprehensive overview of bioprinting technologies and their applications, emphasizing the integration of computation intelligence, artificial intelligence, and other computer science advancements in the field. By harnessing the power of computational intelligence techniques such as AI, machine learning, optimization algorithms, and data analytics, existing hurdles can be overcome and the full potential of bioprinting can be unlocked.

The book covers an extensive range of topics, including bio-ink formulation and characterization, bioprinter hardware and software design, tissue and organ modeling, image analysis, process optimization, and quality control.

Audience

The book is aimed at professionals, practitioners and researchers in the fields of bioprinting, tissue engineering, and computational intelligence in medicine.

E. Gangadevi, is an assistant professor in the Department of Computer Science at Loyola College in Chennai, India. She has published two patents, authored / edited two books, more than 20 research papers in international journals and many book chapters.

M. Lawanya Shri, PhD, is an associate professor at the School of Information Technology and Engineering, VIT, Vellore, India. She has two patents, more than 50 articles in refereed journals and international conferences, and contributed many chapters to books.

Rajesh Kumar Dhanaraj, PhD, is a professor at the School of Computing Science and Engineering at Galgotias University in India. He has authored/edited more than 25 books on various technologies, 21 patents, and 50+ articles and papers in various refereed journals and international conferences.

Balamurugan Balusamy, PhD, is an associate dean to students at Shiv Nadar University at the Delhi-NCR Campus in Noida, India. He has authored/edited more than 80 books as well as over 200 contributions to international journals and conferences.


COMPUTATIONAL INTELLIGENCE IN BIOPRINTING The book provides a comprehensive exploration of the evolving field of bioprinting in regenerative medicine and is an essential guide for professionals seeking a thorough understanding of the field. Computational Intelligence in Bioprinting provides a comprehensive overview of the evolving field of bioprinting in reformative medicine, defining the process of printing structures using viable cells, biomaterials, and living molecules. The primary goal is to provide substitutes for tissue implants, which might lead to eliminating the requirement for organ donors, as well as to transform animal testing for the learning and analysis of disease and the growth of treatments. The book offers a comprehensive overview of bioprinting technologies and their applications, emphasizing the integration of computation intelligence, artificial intelligence, and other computer science advancements in the field. By harnessing the power of computational intelligence techniques such as AI, machine learning, optimization algorithms, and data analytics, existing hurdles can be overcome and the full potential of bioprinting can be unlocked. The book covers an extensive range of topics, including bio-ink formulation and characterization, bioprinter hardware and software design, tissue and organ modeling, image analysis, process optimization, and quality control. Audience The book is aimed at professionals, practitioners and researchers in the fields of bioprinting, tissue engineering, and computational intelligence in medicine.

1
The Emergence of Bioprinting and Computational Intelligence


P.M. Kavitha1*, S. Jayachandran1 and M. Anitha2

1Department of Computer Applications, SRM Institute of Science and Technology, Ramapuram, Chennai, India

2Department of Computer Science and Engineering, SRM TRP Engineering College, Trichy, India

Abstract


Bioprinting is a promising technology that involves the creation of living tissues and organs through 3D printing techniques. However, the complexity of the structures involved in bioprinting makes it challenging to create viable tissues and organs. Computational intelligence, which enables computers to learn, reason, and make decisions similar to humans, has emerged as a critical tool in the development of bioprinting. Through the use of computational intelligence, researchers can simulate the behavior of cells and tissues in different environments. These simulations can help develop more accurate models for bioprinting and optimize the printing process for the creation of functional tissues and organs. Additionally, computational intelligence can aid in the analysis of data obtained from experiments and simulations, which can be used to refine and improve the bioprinting process. The emergence of bioprinting and computational intelligence has the potential to revolutionize the field of regenerative medicine, allowing for the creation of replacement tissues and organs for patients in need. As the technology continues to evolve, the use of computational intelligence will play an increasingly important role in the development of new bioprinting techniques and the advancement of regenerative medicine. One of the key challenges of bioprinting is the complexity of the structures involved. Unlike traditional 3D printing, bioprinting requires the printing of living cells, which can be highly sensitive to their environment. Computational intelligence can help address this challenge by allowing scientists to simulate the behavior of cells and tissues in different environments. By analyzing data from these simulations, researchers can develop more accurate models.

Keywords: Simulations, 3D printing, regenerative medicine

1.1 Introduction


The enthralling era of computational intelligence and bioprinting technologies decides the future of the health care and biological world. Bioprinting deals with the high dimensional printing of the biomedical products like cells, tissues and even organs in a controlled environment, with high accuracy. The goal of bioprinting is to create functional biological structures that can be used for a wide range of applications, such as tissue engineering, regenerative medicine, and drug discovery. The process of bioprinting involves using a printer to deposit layer upon layer of biological materials to build up a 3D structure. This process is similar to traditional 3D printing, but with one crucial difference: the materials being printed are living cells, not plastic or metal.

Computational intelligence, on the other hand, is a subfield of artificial intelligence that focuses on the development of algorithms and mathematical models to perform tasks that would normally require human intelligence, such as learning and pattern recognition. In the context of bioprinting, computational intelligence is used to optimize and control the printing process, allowing for the creation of highly precise and accurate biological structures. So why are bioprinting and computational intelligence such a big deal? Well, the potential applications of this technology are truly staggering. Bioprinting has the potential to revolutionize the way that biological and medical problems are approached. For example, bio-printed tissues could be used for drug testing and development, allowing for more accurate and efficient testing of new drugs before they are tested on human subjects. Additionally, bioprinter organs could one day be used to replace damaged or diseased organs, eliminating the need for organ donors and reducing the wait time for transplant patients. And that is just the tip of the iceberg! As our understanding of bioprinting and computational intelligence continues to grow, it ensures to see even more incredible applications of this technology in the future.

The field of bioprinting and computational intelligence is still in its infancy, but it is advancing rapidly. Just over two decades ago, the first proof-of-concept studies demonstrated the feasibility of 3D printing biological materials. Today, there are numerous commercial companies and academic institutions exploring the potential of this field for a wide range of applications.

An introduction to the exciting world of bioprinting and computational intelligence. This study is helpful to learn about the current state of this field, including the key technologies and applications, as well as the current challenges and opportunities. This chapter enables the user to have a comprehensive understanding of the emergence of bioprinting and computational intelligence as a field of study and its potential to shape the future of medicine and biology (Figure 1.1).

Figure 1.1 3D bioprinting—the process.

The chapter is organized with related study section followed by the Basics of Bioprinting and Computational Intelligence section. Section 1.4 includes The Role of Computational Intelligence in Bioprinting.

1.2 Related Study


The article [1] “3D bioprinting: A review on its advancements and future prospects” provides a comprehensive overview of the current state of 3D bioprinting technology and its potential for future applications in biomedical research and clinical practice. The authors discuss the various bioprinting techniques, bioinks, and cell sources currently used in 3D bio-printing, as well as the challenges and limitations of the technology. The article also covers the wide range of tissue types and organs that have been successfully printed using 3D bioprinting, including bone, cartilage, skin, liver, and heart tissue. In addition, the authors describe the emerging areas of research in 3D bioprinting, such as the use of stem cells and bioprinting of vascularized tissues. Overall, the article provides a valuable resource for researchers and clinicians interested in the field of 3D bioprinting, and highlights the potential for this technology to revolutionize regenerative medicine and personalized healthcare.

The article [2] “Bioinks for 3D bioprinting: an overview” provides a detailed review of the various types of bioinks used in 3D bioprinting. The authors cover the most commonly used bioink materials, including natural polymers, synthetic polymers, and hydrogels, and discuss the advantages and limitations of each material. The article also highlights the importance of designing bioinks that mimic the extracellular matrix (ECM) of the target tissue, and provides insight into the strategies used to achieve this goal. The authors also discuss the challenges and opportunities associated with bioink development, including the need for biocompatibility, printability, and appropriate mechanical and biological properties. In addition, the article covers the emerging trends in bioink development, such as the use of decellularized ECMs and the incorporation of bioactive molecules and growth factors. The authors also address the importance of standardizing bioink characterization and testing procedures to ensure reproducibility and comparability across studies. Overall, the article provides a comprehensive overview of bioinks for 3D bioprinting, and serves as a valuable resource for researchers working in this field. The article’s focus on the need for tailored bioink development to specific tissue types underscores the importance of ongoing research in this area, and highlights the potential for bioinks to play a key role in the development of regenerative medicine and tissue engineering applications.

The article [3] “Bioprinting of human tissues: current state-of-the-art, challenges, and opportunities” provides a comprehensive review of the current state-of-the-art in bioprinting technology, as well as the challenges and opportunities associated with this rapidly evolving field. The authors cover the various bioprinting techniques and materials used to print human tissues, and discuss the advantages and limitations of each approach. The article also covers the major challenges facing bioprinting technology, including the need for improved biomaterials, the difficulty of vascularizing printed tissues, and the need for better methods of cell sourcing and differentiation. The authors also address the ethical considerations associated with bioprinting, including the need to balance scientific progress with safety and ethical concerns. In addition, the article highlights the opportunities presented by bioprinting technology, including the potential for personalized medicine, disease modeling, and drug screening. The authors discuss the importance of collaborative efforts between researchers, clinicians, and industry partners to drive progress in this field.

Overall, the article provides a valuable resource for researchers, clinicians, and industry partners interested in the field of bioprinting, and underscores the potential for this technology to revolutionize regenerative medicine and tissue engineering. The authors’ focus on the importance of addressing the major challenges facing bioprinting technology highlights the need for ongoing research and development efforts in this area.

The article “Printing the future: challenges and...

Erscheint lt. Verlag 4.3.2024
Sprache englisch
Themenwelt Medizin / Pharmazie Gesundheitsfachberufe
Medizin / Pharmazie Medizinische Fachgebiete
Technik
ISBN-10 1-394-20485-X / 139420485X
ISBN-13 978-1-394-20485-4 / 9781394204854
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