AI-Driven personalized medicine: Leveraging machine learning for precision treatment plans
Independent Researcher, USA.
Research Article
Global Journal of Engineering and Technology Advances, 2024, 20(02), 232-241.
Article DOI: 10.30574/gjeta.2024.20.2.0141
Publication history:
Received on 17 June 2024; revised on 18 August 2024; accepted on 22 August 2024
Abstract:
This text evaluates the implementation of artificial intelligence (AI) and machine learning (ML) technologies for developing precise medical treatments in personalized healthcare. The research evaluates important AI technologies: genomic data processing, machine learning principles, and electronic health record implementations. The study investigates different clinical examples and real-world uses to demonstrate how AI transforms disease-specific medical interventions, primarily for oncology patients, those diagnosed with cardiological conditions, and those with rare diseases. The essential results indicate that AI diagnostic capabilities excel at precise disease recognition while generating personalized treatment projectanduperior patient healthcare benefits. Various obstacles, including data protection concerns, unclear algorithm functions, and interdisciplinary workforce integration, continue to exist. The study moves forward existing research into AI healthcare applications by studying its complete potential release. The proposed solutions offer solutions to manage current challenges and construct healthcare delivery strategies for the future time period.
Keywords:
AI-driven medicine; Personalized treatment; Machine learning; Genomic data; Precision oncology; Patient outcomes
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0