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

doi:10.4018/978-1-6684-8337-4.ch003

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

Rīga Stradiņš University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Integrating Digital Health Strategies for Effective Administration
Editors	Ahmed Chemseddine Bouarar, Kamel Mouloudj, Dachel Martinez Asanza
Place of Publication	United States
Publisher	IGI Global Publishing
Chapter	3
Pages	32-57
Number of pages	26
ISBN (Electronic)	9781668483381
ISBN (Print)	9781668483374
DOIs	https://doi.org/10.4018/978-1-6684-8337-4.ch003
Publication status	Published - 18 May 2023

Keywords*

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.4018/978-1-6684-8337-4.ch003

https://www.igi-global.com/chapter/artificial-intelligence-and-its-integration-with-regenerative-medicine-approach/323778

Cite this

Umar, T. P., Agustini, D., Makram, A. M., Muzzamil, M., Stevanny, B., Elsheikh, R., Swathi, NL., Garg, T., Putri, A. A., & Jain, N. (2023). Artificial Intelligence and Its Integration with Regenerative Medicine Approach. In A. C. Bouarar, K. Mouloudj, & D. M. Asanza (Eds.), Integrating Digital Health Strategies for Effective Administration (pp. 32-57). IGI Global Publishing. https://doi.org/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.",

keywords = "computer algorithm, deep learning, degenerative disease, genomic, healthcare, machine learning, medical technology, precision medicine, stem cell, tissue engineering",

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

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month = may,

day = "18",

doi = "10.4018/978-1-6684-8337-4.ch003",

language = "English",

isbn = "9781668483374",

pages = "32--57",

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}

Umar, TP, Agustini, D, Makram, AM, Muzzamil, M, Stevanny, B, Elsheikh, R, Swathi, NL, Garg, T, Putri, AA & Jain, N 2023, Artificial Intelligence and Its Integration with Regenerative Medicine Approach. in AC Bouarar, K Mouloudj & DM Asanza (eds), Integrating Digital Health Strategies for Effective Administration. IGI Global Publishing, United States, pp. 32-57. https://doi.org/10.4018/978-1-6684-8337-4.ch003

Artificial Intelligence and Its Integration with Regenerative Medicine Approach. / Umar, Tungki Pratama; Agustini, Dessy; Makram, Abdelrahman M. et al.
Integrating Digital Health Strategies for Effective Administration. ed. / Ahmed Chemseddine Bouarar; Kamel Mouloudj; Dachel Martinez Asanza. United States: IGI Global Publishing, 2023. p. 32-57.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Artificial Intelligence and Its Integration with Regenerative Medicine Approach

AU - Umar, Tungki Pratama

AU - Agustini, Dessy

AU - Makram, Abdelrahman M.

AU - Muzzamil, Muhammad

AU - Stevanny, Bella

AU - Elsheikh, Randa

AU - Swathi, NL

AU - Garg, Tulika

AU - Putri, Aulia Ananditia

AU - Jain, Nityanand

PY - 2023/5/18

Y1 - 2023/5/18

N2 - 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.

AB - 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.

KW - computer algorithm

KW - deep learning

KW - degenerative disease

KW - genomic

KW - healthcare

KW - machine learning

KW - medical technology

KW - precision medicine

KW - stem cell

KW - tissue engineering

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U2 - 10.4018/978-1-6684-8337-4.ch003

DO - 10.4018/978-1-6684-8337-4.ch003

M3 - Chapter

SN - 9781668483374

SP - 32

EP - 57

BT - Integrating Digital Health Strategies for Effective Administration

A2 - Bouarar, Ahmed Chemseddine

A2 - Mouloudj, Kamel

A2 - Asanza, Dachel Martinez

PB - IGI Global Publishing

CY - United States

ER -

Artificial Intelligence and Its Integration with Regenerative Medicine Approach

Abstract

Keywords*

Field of Science*

Publication Type*

UN SDGs

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