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.
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Table of Contents
Section 1. Machine learning and artificial concepts 1. Artificial intelligence in tissue and organ regeneration: An introduction 2. Introduction to AI and ML algorithms 3. Machine learning and AI approaches for design of tissue scaffolds 4. Use of artificial intelligence in assistive devices
Section 2. AI applications in organ regeneration 5. Applying artificial intelligence in solid organ failure, organ transplant selection, preservation, and regeneration 6. AI in angiogenesis moving toward designer vasculature 7. Prospects of artificial intelligence in endogenous and exogenous regeneration and repair of organs 8. AI on DDS for regenerative medicine 9. Optimization of bio-ink using machine learning 10. Artificial intelligence in stem cell therapies and organ regeneration
Section 3. AI applications and bio-manufacturing 11. AI in multiscale scaffolds for cancer organoids testbed 12. Complex data representation, modeling and computational power for a personalized dialysis 13. Neural encoding of artificial sensations evoked by peripheral nerve stimulation for neuroprosthetic applications 14. Applying AI to advanced biomanufacturing 15. Regulatory pathways for ML and AI devices 16. AI and ML: future challenges and perspective in artificial organs realm