Abstract

A COMPREHENSIVE REVIEW OF PRECISION MEDICINE ADVANCEMENTS EMPOWERED BY ARTIFICIAL INTELLIGENCE

Dr. Sahana VM Vats* and Dr. Sunil Kumar

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Abstract

Precision medicine, a paradigm shift from the one-size-fits-all approach to personalized healthcare, aims to tailor medical treatment and interventions to individual patients based on their genetic makeup, environment, and lifestyle. With the advent of artificial intelligence (AI) technologies, particularly machine learning and deep learning algorithms, precision medicine has witnessed unprecedented advancements. The integration of artificial intelligence (AI) has significantly accelerated advancements in precision medicine, enabling the analysis of vast amounts of heterogeneous data to uncover personalized treatment options and disease mechanisms. It has revolutionized precision medicine by enhancing disease diagnosis, prognosis prediction, treatment selection, and drug development processes. This review provides a comprehensive overview of the intersection between precision medicine and AI, highlighting recent developments, challenges, and future prospects. Key areas explored include genomic medicine, identifying biomarkers, medical imaging, electronic health records (EHRs), clinical decision support systems, drug discovery, and patient stratification emphasizing its potential to revolutionize healthcare delivery and improve patient outcomes. Additionally, ethical considerations and the importance of data privacy in the era of AIdriven precision medicine are discussed.

Keywords: Precision Medicine, Personalised Medicine, Stratified Medicine, Artificial Intelligence, Machine Learning, Deep Learning, Genomics, Multi-omics, Drug Discovery.