Artificial Intelligence in Tissue and Organ Regeneration

1st Edition - August 18, 2023
Editors: Chandra P. Sharma, Thomas Chandy, Vinoy Thomas
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 8 4 9 8 - 7
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 8 4 9 9 - 4

Artificial Intelligence in Tissue and Organ Regeneration discusses the role of artificial intelligence as a highly sought-after technology in the area of organ and tissue regenerat… Read more

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Artificial Intelligence in Tissue and Organ Regeneration discusses the role of artificial intelligence as a highly sought-after technology in the area of organ and tissue regeneration. Certain groups have made significant progress in mass producing mini organs and organoids from stem cells utilizing such techniques. As time goes on, there will be a need to improve these procedures, protocols, regulatory guidelines, and their clinical implications.

Cover image
Title page
Table of Contents
Copyright
Contributors
Preface
Section 1. Machine learning and artificial intelligence concepts
Chapter 1. Artificial Intelligence in tissue and organ regeneration: An introduction
Introduction
AI in organ regeneration
Artificial intelligence in healthcare
Application of AI in tissue engineering
AI in biomaterials evolution
Conclusion
Chapter 2. Introduction to artificial intelligence and machine learning algorithms
Introduction
The birth and rise of machine learning
Branches of artificial intelligence
Ethical concerns of AI
Scientific advancement
Conclusion
Chapter 3. ML and AI approaches for design of tissue scaffolds
Introduction
Collaborative Intelligence: Human centered AI
AI-aided design strategies for tissue engineering scaffolds
ML-assisted 2D-printing of tissue engineering scaffolds
ML-assisted 3D printing of tissue engineering scaffolds
ML-assisted 4D-printing of tissue engineering scaffolds
ML and AI-based in vitro imaging of cells on scaffolds
Challenges of ML in devising scaffold biomaterials
Future perspective of ML and AI in biomaterials and scaffold manufacturing
Summary
Chapter 4. Use of artificial intelligence in assistive devices
Introduction
Discussion
Conclusion
Section 2. AI applications in organ regeneration
Chapter 5. Applying Artificial Intelligence in solid organ failure, organ transplant selection, preservation, and regeneration
Key point
Background
Solid organ failure
Conclusion and future directions
Chapter 6. AI in angiogenesis: moving towards designer vasculature
Introduction
Overview of vasculature system
Synthesis of blood vessel
Overview of the widely used AIML models in tissue engineering
AI in analyzing vasculature
AI in designing microvasculature
Conclusion and future scope
Chapter 7. Prospects of artificial intelligence in regeneration and repair of organs
Introduction
Roadblocks in the clinical realization of organ regeneration therapies
Prospects of ML and AI techniques in organ regeneration approaches
Future perspectives
Conclusions
Chapter 8. AI on DDS for regenerative medicine
Introduction
Drug delivery materials
Role of drug delivery systems in regenerative medicine
Artificial intelligence (AI) in designing of drug delivery systems
AI in regenerative medicine
Conclusion and future perspective
Chapter 9. Optimization of bio-ink using machine learning
Introduction
Physiochemical requirements
Introduction to machine learning
Machine learning techniques for the optimization of bio-ink
Conclusion
Chapter 10. Artificial intelligence in stem cell therapies and organ regeneration
What is the regenerative healing process?
Role of stem cell therapy in the regenerative healing process
Role of artificial intelligence in stem cell therapy
Implementation of various AI techniques in stem cell therapy
Role of artificial intelligence in organ regeneration
Future perspectives and challenges of AI in stem cell therapy
Conclusion
Section 3. AI applications and bio-manufacturing
Chapter 11. Artificial intelligence in multiscale scaffolds for cancer organoids testbed
Introduction
AI in scaffold design
Cancer organoids research using AI-based technologies
Future directions
Chapter 12. Complex data representation, modeling and computational power for a personalized dialysis
Background
Systems biology and network biology for the personalization of dialysis
Data-driven machine learning-based analysis
Development of Novel architecture computational models and future trends
Technological requirements for a personalized dialysis, initiatives to stimulate innovations and future directions
Summary and bullet points
Some equations, algorithms and basic maths for ML
Chapter 13. Neural encoding of artificial sensations evoked by peripheral nerve stimulation for neuroprosthetic applications
Invasive neurostimulation approaches
Noninvasive neurostimulation approaches
Somatosensory information encoding
AI toward personalized neuroprostheses
Future perspectives
Chapter 14. Applying AI to advanced biomanufacturing
Introduction
Current state of the field in biomanufacturing: Actual and potential
Broadening the application of AI early and often in advanced biomanufacturing: A collaborative testbed model for integrating AI into small-scale operations and early phase trials
Conclusions
Chapter 15. Regulatory pathways for ML and AI devices
Introduction to artificial intelligence and machine learning regulation
Is my product a medical device?
Software in a medical device (SiMD)
Software as a medical device (SaMD)
Commercial off-the-shelf software
Defining your intended purpose
Impact of machine learning/artificial intelligence
Classification
United States classification
European Union
Other regulatory regions
Creating a regulatory strategy
Software specific considerations
Removing bias in data algorithms
Cybersecurity
NB engagement
Technical documentation creation
Design controls
Clinical data
Analyzing post market data
Conclusion
Chapter 16. AI and ML: challenges and future perspective in artificial organs realm
Introduction
Conclusions
Index

Chandra P. Sharma

Dr. Chandra P. Sharma is Adjunct Professor, Department of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Sciences, Manipal University, and Hon. Emeritus Professor, College of Biomedical Engineering & Applied Sciences, Purbanchal University, Kathmandu, Nepal. Dr. Sharma is a Solid-State Physicist from IIT Delhi and received his training in Biomaterials area in the University of Utah with Prof. D.J. Lyman as a graduate student and in the University of Liverpool, England with Prof. D.F. Williams as a Post-Doctoral Research Associate. Dr. Sharma has been awarded FBSE (Fellow Biomaterials Science & Engineering) by The International Union of Societies for Biomaterials Science & Engineering (IUS-BSE) in 2008 and FBAO (Fellow Biomaterials and Artificial Organs) by Society for Biomaterials & Artificial Organs (India) (SBAOI) in 2011 and shares Whitaker and National Science Foundation Award – International Society for Artificial Organs (ISAO) USA, invited member ACS (2015-2018).

Affiliations and expertise

Adjunct Professor, Department of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Sciences, Manipal University, India

Thomas Chandy

Dr. Thomas Chandy is a biomaterial expert with unique combination of medical device and technical knowledge. He has strong academic credentials in human physiology and bio-compatible materials with test methods and model development. Dr. Chandy has published over 80 scientific papers in international Journals and 3 patents in the medical device and drug delivery area. Reviewer to 7+ international journals of repute in Drug delivery and Biomedical Research. Twenty-Five years of experience as a project lead in medical device and technology development. Strong experience with broad range of medical products including polymeric and tissue-based implantable, site specific drug delivery, medical diagnostics and combination devices. Product/process development skills with demonstrated success from concept through commercialization involving selection of materials, characterization, biological evaluation of materials, bench, feasibility tests and pre-clinical (animal) testing.

Affiliations and expertise

Senior Test Engineer and Project Lead, Phillips Medisize, Hudson, Wisconsin, USA

Vinoy Thomas

Dr. Vinoy Thomas is an Associate Professor and Graduate Program Director in the Department of Mechanical and Materials Engineering at the University of Alabama at Birmingham. He also holds secondary appointments at the Department of Biomedical Engineering, Department of Physics and Department of Environmental Science & Health. Dr. Thomas is also an Associate Scientist at the Center for Nanoscale Materials and Biointegration (CNMB) and Center for Clinical and Translational Sciences (CCTS). After his PhD in Biomaterials & Technology, he completed postdoctoral training at Friedrich-Schiller University (FSU), Jena, Germany, and at the National Institute of Standards & Technology (NIST), Gaithersburg, USA. His research focuses on biomaterials processing-property relationships, nanomaterials for tissue engineering and drug delivery . He has published over 120 scientific research and review articles (h- index: 36), co-edited two books (Tissue Engineering, Elsevier 2022 and Artificial Intelligence in Tissue and Organ Regeneration, Elsevier 2023). He serves as Associate Editor of Heliyon (Engineering). Dr. Thomas received Fellow Awards such as FBAO -from Society for Biomaterials and Artificial Organs India, FAAS- from Alabama Academy of Sciences, and IAAM Scientist Medal from International Association of Advanced Materials, Sweden. Dr. Thomas is currently serving as the President of Alabama Academy of Science (AAS), Chairman of SBAOI- North American Chapter, and Secretary of Biomaterials Committee of The Minerals, Metals, and Materials Society (TMS).

Affiliations and expertise

Assistant Professor, Department of Materials Science and Engineering, University of Alabama, Birmingham, USA

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Artificial Intelligence in Tissue and Organ Regeneration

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Chandra P. Sharma

Thomas Chandy

Vinoy Thomas