CIB2022: Computational Intelligence in Bioprinting: Challenges and Future Directions Vellore, India, December 31, 2022 |
Submission link | https://easychair.org/conferences/?conf=cib2022 |
Abstract registration deadline | November 30, 2022 |
Submission deadline | December 30, 2022 |
Computational Intelligence in Bioprinting: Challenges and Future Directions
Submission Guidelines
All Chapters must be original and not simultaneously submitted to another book or conference.
Bioprinting is an evolving field in reformative medicine. It is well-defined as the printing of structures using feasible cells, biomaterials and living molecules. The ultimate intention of bioprinting is to offer a substitute to autologous and allogeneic tissue implants, and also to transform animal testing for the learning and analysis of disease and growth of treatments. 3D bioprinting is an innovative skill that will ultimately make medical care faster, more applicable, and more adapted. Normally,3D bioprinting can employ a layer-by-layer process to accumulate materials called bio-inks. Bio inks is an important element of bioprinting. Bio inks entails biomaterials which can be used to summarize cells and integrate biomolecules. They create tissue-like structures used in many tissues related medical fields.Bioprinting organs and tissue spots from a patient’s personal cells decreases the risk of refusal and can eliminate the requirement for organ donors.
At present, bioprinting can be used to print tissue and organ patterns to aid research drugs, remedies and probable treatments. Researchers in this area have established many advances to create living organs that are built with the suitable biological and mechanical effects. 3D bioprinting recreates tissue from many parts of the body. Patients with last stage disease can be treated by applying engineered tissues which reconstructs the damaged organ. This kind of new technology can also be managed for other parts like bone, skin and other muscle tissues. 3D bioprinting provides essential advances in the field of medical especially in tissue engineering with the help of biomaterials. Biomaterials are the resources enhanced and used for printing 3D objects.
This book offers an overview of bio printing technologies using computational intelligence and its applications. This book also addresses all the available advantages and technical knowledge of computer science advancements such as machine learning, IoT, Artificial Intelligence, cyber security, Deep learning and so on. All these areas are discussed with illustrations from practical implementation.The main innovations of computational intelligence for bioprinting are discussed in this book with the reference from academics and research. This book also examines various applications of bioprinting.
Proposed Table of Contents
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The topics are related to but not limited to the following:
1. Journey to computational intelligence in Bioprinting: Evolution, Challenges and Trends
2. Design, architecture, Implementation and Evaluation of Bioprinting Technology for tissue Engineering
3. Machine Learning based models for implementing bioprinting for pharmaceutical products
4. Design and development of IoT device: Methods, Tools and Techniques
5. AI based Augmented reality and Virtual reality models for biomedical field sustainableIndustry 4.0 for bioprinting services
6. Issues and research challenges for implementing computational intelligence-based image classification for 3D printing
7. The role of Cybersecurity to safeguard 3D bioprinting in healthcare: Challenges and opportunities.
8. Legal and bioethical view of educational sectors and industrial areas of 3D bioprinting
9. Optimization of 3D bioprinting techniques based on Deep learning: Recent trends and advances
10. Evolving reinforcement learning for 3D printing Implants for Medical Applications
11. Research trends in Intelligence based bioprinting for construction engineering applications.
12. Design and Development to collect and analyze data using bioprinting software for biotechnology industry
13. Computer vision-aided 3D bioprinting in Ophthalmology: Recent trends and advancements.
14. Computational intelligence-based image classification for 3D printing in industry 4.0: Research challenges and its applications
15. Cyborg intelligence and bioprinting for computational design and analysis of medical applications.
16. Bioprintingand Robotics Engineering: Applications, Recent progress and future directions
17. Bioprinting and machine learning architectures, applications, challenges, and future directions for Healthcare Applications
Editor(s) List
- Dr. Rajesh Kumar Dhanaraj
School of Computing Science and Engineering
Galgotias University, India. (E-Mail: sangeraje@gmail.com)
- Prof. E.Gangadevi
Department of Computer Science,
Loyola College, Chennai, India. (E-mail: smgangadevi@gmail.com)
- Dr. M. Lawanyashri
School Of Information Technology and Engineering
VIT, Vellore, (Email:lawanyaraj@gmail.com)
- Dr. BalamuruganBalusamy
Shiv Nadar University,
Delhi-NCR Campus, Noida, India (E-Mail: kadavulai@gmail.com)
Contact
- Prof. E.Gangadevi
Department of Computer Science,
Loyola College, Chennai, India. (E-mail: smgangadevi@gmail.com)
Contact No: +91 9677002825