Revista Brasileira de Enfermagem. 2026;79:e20250423
DOI: 10.1590/0034-7167-2025-0423
Publication date: 12-15-2025
to discuss the foundations, applications, challenges, and perspectives of precision nursing in contemporary practice, with an emphasis on the incorporation of genomic technologies, biomarkers, artificial intelligence and symptom science.
a theoretical-reflective study based on recent scientific evidence.
nurses occupy a strategic position to lead the translation of precision medicine knowledge into clinical practice, especially in symptom management and personalized decision-making. Ongoing studies on inflammatory biomarkers, gastrointestinal disorders, symptomatic distress, and the use of digital devices in self-care stand out. Ethical, structural, and training challenges persist, such as curricular reformulation, professional training, and equity in access to innovations.
precision nursing can transform care by enabling more effective, safe, and person-centered interventions. It is essential to strengthen data science, foster translational nursing research, and promote its gradual integration into care practice.
Search
Search in:
to discuss the foundations, applications, challenges, and perspectives of precision nursing in contemporary practice, with an emphasis on the incorporation of genomic technologies, biomarkers, artificial intelligence and symptom science.
a theoretical-reflective study based on recent scientific evidence.
nurses occupy a strategic position to lead the translation of precision medicine knowledge into clinical practice, especially in symptom management and personalized decision-making. Ongoing studies on inflammatory biomarkers, gastrointestinal disorders, symptomatic distress, and the use of digital devices in self-care stand out. Ethical, structural, and training challenges persist, such as curricular reformulation, professional training, and equity in access to innovations.
precision nursing can transform care by enabling more effective, safe, and person-centered interventions. It is essential to strengthen data science, foster translational nursing research, and promote its gradual integration into care practice.