Digital solutions for personalized medicine: The future of pharmacogenomics

Abstract

Anas Ali Alhur*, Sarah Almutairi, Ahad Al-Shardi, Gilan Alnasser, Mohammed Alhanfoosh, Fahad Mashyakhi, Abdullah AL Abdullah, Hanan Abdulbary, Shahad Khawaji, Lama Altuwijri, Faris Al-Zahyan, Renad Albalawl, Ibtihal Alotaibi, Kaifah Althaali, Lujain Alnami

Pharmacogenomics, the study of how genetic variations influence individual drug responses, represents a cornerstone of personalized medicine. Recent advancements in digital health technologies have significantly enhanced the feasibility of integrating pharmacogenomics into clinical practice. Tools such as Artificial Intelligence (AI), big data analytics, and blockchain have transformed the ways genetic data are analyzed, stored, and applied in healthcare. These innovations enable the delivery of precise drug therapies, mitigate adverse drug reactions, and enhance overall patient outcomes. Despite the substantial promise, challenges related to data privacy, interoperability, cost, and equitable access persist. This paper explores the role of digital technologies in advancing pharmacogenomics, highlighting their transformative potential and offering strategies to address existing barriers.