Artificial Intelligence and Its Integration with Regenerative Medicine Approach

Tungki Pratama Umar, Dessy Agustini, Abdelrahman M. Makram, Muhammad Muzzamil, Bella Stevanny, Randa Elsheikh, NL Swathi, Tulika Garg, Aulia Ananditia Putri, Nityanand Jain

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


Artificial intelligence (AI) and regenerative medicine are becoming inextricably linked. As a result, the long-term outlook for the advancement of AI, regenerative medicine, and stem cells in the healthcare industry is incredibly bright. AI is being used in healthcare to discover new drugs and to provide personalized medicine based on big data. It can improve medical diagnosis and treatment plans. Regenerative medicine has the potential to repair damaged tissues and organs through stem cell-based regenerative medicine. Stem cell research is also undergoing significant development as a major component of the approach to regenerative medicine. In the future, it is expected that it will contribute to more personalized and more effective treatments. Integrating AI can help model and simulate cellular behavior, analyze, and process images for cell tracking and tissue engineering, and analyze large amounts of genomic and proteomic data. Together, these fields have the potential to transform healthcare and improve patient outcomes.
Original languageEnglish
Title of host publicationIntegrating Digital Health Strategies for Effective Administration
EditorsAhmed Chemseddine Bouarar, Kamel Mouloudj, Dachel Martinez Asanza
Place of PublicationUnited States
PublisherIGI Global Publishing
Number of pages26
ISBN (Electronic)9781668483381
ISBN (Print)9781668483374
Publication statusPublished - 18 May 2023


  • computer algorithm
  • deep learning
  • degenerative disease
  • genomic
  • healthcare
  • machine learning
  • medical technology
  • precision medicine
  • stem cell
  • tissue engineering

Field of Science*

  • 3.2 Clinical medicine
  • 3.1 Basic medicine
  • 3.4 Medical biotechnology
  • 3.3 Health sciences

Publication Type*

  • 3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database


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