Author(s) :

Nishant Kapoor.

Volume/Issue :

Abstract :

Precision medicine represents a paradigm shift in healthcare by tailoring medical treatment to the individual characteristics of each patient, including their genetic makeup, environment, and lifestyle. Artificial Intelligence (AI) plays a pivotal role in realizing the full potential of precision medicine by analyzing vast, complex datasets to generate predictive models, identify biomarkers, and optimize treatment strategies. This paper provides a comprehensive review of AI applications in precision medicine, highlighting key technologies such as machine learning, deep learning, and natural language processing. It discusses AI-driven approaches for genomic data interpretation, patient stratification, and treatment recommendation systems. The integration of multi-omics data, electronic health records, and real-world evidence through AI enables more accurate disease diagnosis and personalized therapeutic interventions. Challenges related to data heterogeneity, interpretability, ethical considerations, and clinical adoption are examined. The paper concludes with future perspectives on AI’s transformative impact on precision medicine, emphasizing the need for collaborative frameworks, robust validation, and regulatory compliance to ensure patient safety and maximize clinical benefit.

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