Personalized medicine addresses the challenges of the lack of efficacy of common therapies and rising healthcare costs due to more prevalent chronic diseases together with an aging population. Central to the personalized healthcare model is identifying and validating molecular targets using genomic and molecular biology-based strategies. This chapter synthesizes and provides examples of current state-of-the-art methodologies in genomic research focused on target identification and proposals for its validation. Key strategies include next-generation and single-cell sequencing technologies, multi-omics data integration, genome editing, and computational techniques for studying drug-protein interactions enhanced by artificial intelligence. Despite notable achievements, challenges such as standardization, data integration, regulatory development, and clinical translation persist. Future directions must focus on enhancing integrative approaches to implement personalized medicine into clinical practice.