Artificial Intelligence in Tissue and Organ Regeneration (eBook, ePUB)

Redaktion: Sharma, Chandra P.; Thomas, Vinoy; Chandy, Thomas

• Format: ePub

Produktbeschreibung

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.

• Integrates existing literature in a highly interdisciplinary area
• Presents comprehensive current and future perspectives, combining artificial intelligence and machine learning with organ and tissue regeneration
• Provides new and emerging technology that is useful in healthcare and the medical field

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 300
• Erscheinungstermin: 31. August 2023
• Englisch
• ISBN-13: 9780443184994
• Artikelnr.: 68630566

Inhaltsangabe

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