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Applications of AI and ML in Personalized Medicine: Opportunities and Ethical Challenges

Chief Editors:  Mr. Irshadullah Asim Mohammed, Dr. Yogesh Mohan Gosavi, and Prof. (Dr.) Vineeta Kaur Saluja

Associate Editor: Mrs. Sruthi S

Co-Editors: Dr. S. Rajeswari, Dr. Nikhil Saini, and Ms. Atreyee Banerjee

ISBN:  978-81-985805-1-1

Chapter: 48

Author: Dr. R. Jeya

DOI: https://doi.org/10.59646/mrnc48/321

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing personalized medicine by enabling data-driven insights, predictive analytics, and customized treatment strategies. These technologies facilitate early disease detection, enhance diagnostic accuracy, optimize drug discovery, and enable precision therapeutics tailored to an individual’s genetic, environmental, and lifestyle factors. AI-driven models analyze vast biomedical datasets to identify patterns that can guide clinical decision-making, leading to more effective and patient-centric healthcare interventions. Despite these transformative opportunities, AI and ML adoption in personalized medicine raises significant ethical challenges. Data privacy concerns, bias in algorithms, the potential for over-reliance on automated decision-making, and issues related to informed consent necessitate careful consideration. paper explores the diverse applications of AI and ML in personalized medicine, highlighting their advantages and ethical challenges. By examining real-world case studies and ongoing research, it underscores the need for a balanced approach that maximizes AI’s potential while addressing ethical considerations. Future developments must prioritize inclusivity, patient autonomy, and robust governance mechanisms to ensure responsible AI deployment in healthcare.

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