Personalized Pain Medicine: Optimizing Treatments Through Data
Received Date: Dec 01, 2025 / Published Date: Dec 29, 2025
Abstract
Personalized pain medicine leverages individual patient factors, including genetics, lifestyle, and psychosocial status, to optimize treatment efficacy and minimize adverse effects in chronic pain management. Approaches like genomic profiling, biomarker analysis, and integration of psychosocial interventions aim to create tailored therapeutic strategies. Digital health technologies and machine learning enhance data analysis and treatment adaptation. The field emphasizes patient-centered care through shared decision-making, while ethical considerations and effective implementation remain key to advancing this approach.
Keywords: Personalized Pain Medicine脥戮 Precision Medicine脥戮 Pharmacogenomics脥戮 Biomarkers脥戮 Psychosocial Factors脥戮 Digital Health脥戮 Multiomics脥戮 Machine Learning脥戮 Shared Decision-Making脥戮 Ethical Considerations
Citation: Turner M (2025) Personalized Pain Medicine: Optimizing Treatments Through Data. jpar 14: 808. Doi: 10.4172/2167-0846.1000808
Copyright: © 2025 Michael Turner This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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