The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Assessment of AI's Impact on Precision Medicine and Personalized Healthcare in Clinical Environments
|
|
Author(s): S. Geetha (Pondicherry University, India), P. Srinidhii (SMVMCH, Puducherry, India), J. Madhusudanan (SMVEC, India)and Prasanna Venkatesan V. (Pondicherry University, India)
Copyright: 2026
Pages: 30
Source title:
Evaluation and Assessment of AI-Driven Systems in Hospitals
Source Author(s)/Editor(s): Anandavalli M. (King Khalid University, Saudi Arabia), Prabhu Chakkaravarthy (SRM Institute of Science and Technology, India)and Dhanalakshmi J. (SRM Institute of Science and Technology, India)
DOI: 10.4018/979-8-3373-2787-7.ch006
Purchase
|
Abstract
Personalized medicine (PM) is transforming healthcare by adapting treatments that considers individual genetic, environmental, and lifestyle factors. Children present distinct physiological and developmental differences that require careful consideration in diagnosis, treatment, and prevention. Paediatric PM focuses on early detection of diseases, individualized drug therapy, and targeted interventions based on genetic and molecular profiles. Personalized medicine, is important for several reasons like children's genetic profiles can affect how they respond to medications and treatments, making personalized approaches crucial. The combination of AI and personalized medicine in pediatrics enables precision in drug dosing, early disease detection, and more effective treatment strategies. By integrating AI, the future of pediatric medicine will be more individualized, predictive, and patient-centric. This paradigm shift will ultimately enhance the quality of life for children, providing them with safer, more effective treatments tailored to their unique genetic and physiological needs.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|