BMC Personalized Medicine is an open access, peer-reviewed journal that considers articles on all aspects of personalized approaches to the prevention, diagnosis and treatment of disease. The journal welcomes research exploring how genetic, molecular, environmental, digital, and lifestyle factors inform individualized healthcare, including areas such as patient stratification, biomarker discovery, pharmacogenomics, and clinical implementation. Topics covered by the journal include, but are not limited to: Molecular Biomarkers and Multi-Omics Integration - Studies on genetic, epigenetic, proteomic, metabolomic, and transcriptomic markers, including systems biology approaches for disease stratification and individualized care. Risk Stratification and Prognosis - Research on disease susceptibility, progression, and outcome prediction, integrating clinical, genetic, and environmental data. Personalized and Novel Therapeutics - Including pharmacogenomics, individualized treatment strategies, emerging therapies (e.g., mRNA, gene and cell therapies), and efforts to optimize drug response and overcome resistance. Diagnostic and Imaging Technologies - Innovative technologies supporting personalized diagnosis, monitoring, and disease classification. Digital Health and Remote Monitoring - Including mobile health tools, wearable devices, and real-time data integration to inform personalized care. Artificial Intelligence and Machine Learning - Development and application of AI/ML methods for patient stratification, predictive modeling, clinical decision support, and treatment optimization. Microbiome-Based Personalization - Understanding host–microbiome interactions and their impact on disease risk, treatment response, and health outcomes. Digital Twins and Computational Simulation - Virtual patient modeling, digital replicas, and in silico simulations for personalized diagnosis, treatment planning, and monitoring. Ethical, Legal, and Societal Implications (ELSI) - Studies addressing data governance, equity, patient advocacy, responsible use of AI, and the broader ethical context of personalized medicine. Health Services and Implementation Research - Research on the real-world integration of personalized medicine into healthcare systems, focusing on access, cost-effectiveness, quality of care, and delivery models. Population Health and Equity in Personalized Medicine - Approaches applying personalized strategies at the population level to improve outcomes and reduce health disparities across diverse communities. As a BMC Series journal, BMC Personalized Medicine does not make editorial decisions based on the perceived interest or potential impact of a study. Manuscripts are considered for publication if they are scientifically valid. For research articles, this includes having a clearly defined and sound research question, appropriate methodology and analysis, and adherence to community-agreed standards relevant to the field.