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Artificial Intelligence and Its Integration with Regenerative Medicine Approach
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Author(s): Tungki Pratama Umar (Sriwijaya University, Indonesia), Dessy Agustini (Sriwijaya University, Indonesia), Abdelrahman M. Makram (Imperial College London, UK), Muhammad Muzzamil (Health Services Academy, Pakistan), Bella Stevanny (Sriwijaya University, Indonesia), Randa Elsheikh (October 6 University Hospital, Egypt), N. L. Swathi (Jawaharlal Nehru Technological University, India), Tulika Garg (Government Medical College and Hospital, Chandigarh, India), Aulia Ananditia Putri (Sriwijaya University, Indonesia) and Nityanand Jain (Riga Stradins University, Latvia)
Copyright: 2023
Pages: 26
Source title:
Integrating Digital Health Strategies for Effective Administration
Source Author(s)/Editor(s): Ahmed Chemseddine Bouarar (University of Medea, Algeria), Kamel Mouloudj (University of Medea, Algeria) and Dachel Martínez Asanza (University of Medical Sciences of Havana, Cuba)
DOI: 10.4018/978-1-6684-8337-4.ch003
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Abstract
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.
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