Journal of Pharmaceutical and Medicinal Chemistry

Precision medicine (PM) represents a paradigm shift in healthcare, moving from a “one-size-fits-all” approach to personalized interventions based on individual genetic, environmental, and lifestyle factors. While nursing professionals are at the forefront of patient care, there remains a significant knowledge gap regarding the integration of genomic data into clinical practice. This paper proposes a structured teaching program for nurses designed to improve genomic literacy, ethical decision-making, and patient advocacy in the era of precision medicine. By leveraging a blended learning approach combining foundational theory with evidence-based clinical application this framework aims to equip nurses with the competencies required to translate complex genomic data into actionable patient care, ultimately enhancing health outcomes.

Artificial Intelligence (AI) is emerging as a transformational technique in pharmaceutical research and development, enabling the shift from conventional experimental approaches to predictive, data-driven methodologies. This review is a comprehensive overview of the use of AI in the drug development pipeline, such as identifying targets, discovering hits, lead optimization, preclinical trials, clinical trials, and post-marketing surveillance. Machine learning, deep learning, natural language processing, and generative models are advanced methods that assist the integration of data on a multi-dimensional basis and make decisions about data DSSs more efficient. Despite the challenges related to data quality, interpretability, and regulatory compliance, AI demonstrates significant potential in improving translational success and accelerating therapeutic innovation towards precision and patient centric healthcare.

Pharmaceutical care (PC) has traditionally been the domain of pharmacists, yet the evolving demands of primary health-care (PHC) systems worldwide have positioned nurses as pivotal contributors to medication management and patient safety. This paper investigates how nurses in PHC settings perceive, enact, and evaluate pharmaceutical care activities. Using a mixed methods design, 312 nurses from 24 community health centres across three European regions completed a structured questionnaire (quantitative arm) while 34 nurses participated in semi-structured focus groups (qualitative arm). Quantitative data were analysed with descriptive statistics, logistic regression and factor analysis; qualitative data were processed through thematic content analysis. Findings reveal that (i) Nurses routinely perform core PC tasks medication reconciliation, adherence counselling, and monitoring of therapeutic outcomes yet feel constrained by limited pharmacological training and ambiguous role definitions; (ii) Institutional support, interprofessional collaboration and continued education are strong predictors of high-quality PC delivery (OR = 2.74, 95% CI = 1.68–4.48, p < 0.001); (iii) Nurses’ perceived impact on clinical outcomes aligns with reduced medication related problems (MRPs) and improved patient-reported satisfaction. The paper discusses implications for policy, curricula, and interprofessional practice, and proposes a competency-based framework to integrate nursing led PC into PHC sustainably.