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.
1. Chapter 1 Artificial Intelligence in tissue and organ regeneration: An introduction - p. 3 2. Chapter 2 Introduction to artificial intelligence and machine learning algorithms - p. 15 3. Chapter 3 ML and AI approaches for design of tissue scaffolds - p. 29 4. Chapter 4 Use of artificial intelligence in assistive devices - p. 57 5. Chapter 5 Applying Artificial Intelligence in solid organ failure, organ transplant selection, preservation, and regeneration - p. 85 6. Chapter 6 AI in angiogenesis: moving towards designer vasculature - p. 99 7. Chapter 7 Prospects of artificial intelligence in regeneration and repair of organs - p. 117 8. Chapter 8 AI on DDS for regenerative medicine - p. 133 9. Chapter 9 Optimization of bio-ink using machine learning - p. 155 10. Chapter 10 Artificial intelligence in stem cell therapies and organ regeneration - p. 175 11. Chapter 11 Artificial intelligence in multiscale scaffolds for cancer organoids testbed - p. 193 12. Chapter 12 Complex data representation, modeling and computational power for a personalized dialysis - p. 219 13. Chapter 13 Neural encoding of artificial sensations evoked by peripheral nerve stimulation for neuroprosthetic applications - p. 237 14. Chapter 14 Applying AI to advanced biomanufacturing - p. 267 15. Chapter 15 Regulatory pathways for ML and AI devices - p. 289 16. Chapter 16 AI and ML: challenges and future perspective in artificial organs realm - p. 303 17. Index - p. 317
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.
1. Chapter 1 Artificial Intelligence in tissue and organ regeneration: An introduction - p. 3 2. Chapter 2 Introduction to artificial intelligence and machine learning algorithms - p. 15 3. Chapter 3 ML and AI approaches for design of tissue scaffolds - p. 29 4. Chapter 4 Use of artificial intelligence in assistive devices - p. 57 5. Chapter 5 Applying Artificial Intelligence in solid organ failure, organ transplant selection, preservation, and regeneration - p. 85 6. Chapter 6 AI in angiogenesis: moving towards designer vasculature - p. 99 7. Chapter 7 Prospects of artificial intelligence in regeneration and repair of organs - p. 117 8. Chapter 8 AI on DDS for regenerative medicine - p. 133 9. Chapter 9 Optimization of bio-ink using machine learning - p. 155 10. Chapter 10 Artificial intelligence in stem cell therapies and organ regeneration - p. 175 11. Chapter 11 Artificial intelligence in multiscale scaffolds for cancer organoids testbed - p. 193 12. Chapter 12 Complex data representation, modeling and computational power for a personalized dialysis - p. 219 13. Chapter 13 Neural encoding of artificial sensations evoked by peripheral nerve stimulation for neuroprosthetic applications - p. 237 14. Chapter 14 Applying AI to advanced biomanufacturing - p. 267 15. Chapter 15 Regulatory pathways for ML and AI devices - p. 289 16. Chapter 16 AI and ML: challenges and future perspective in artificial organs realm - p. 303 17. Index - p. 317
